BrainX Talks

Welcome to BrainX AI in Medicine Podcast series, where we bring in leaders within fields of AI and Medicine to discuss their cutting-edge research, explore boundaries of current knowledge, and provide insightful commentary on how to effectively lead the AI revolution in Medicine.

Today's guest is Vivek Natarajan, who is a Research Scientist at Google leading research at the intersection of large language models (LLMs) and biomedicine. In particular, Vivek is the lead researcher behind Med-PaLM and Med-PaLM 2, which were the first AI systems to obtain passing and expert level scores on US Medical License exam questions respectively. Med-PaLM was recently published in Nature and has been featured in The Scientific American, Wall Street Journal, The Economist, among many others.

More recently, Vivek also led the development of Med-PaLM M, the first demonstration of a generalist biomedical AI system and AMIE, a research AI system, which surpassed Primary Care Physicians on multiple axes pertaining to diagnostic dialogue in an randomized study conducted in the style of a virtual Objective Structured Clinical Examination (OSCE).
Over the years, Vivek’s research has been published in well-regarded journals and conferences like Nature, Nature Medicine, Nature Biomedical Engineering, JMLR, CVPR, and NeurIPS. It also forms the basis for several regulated medical device products under clinical trials at Google, including the NHS AI award winning breast cancer detection system Mammo Reader and the skin condition classification system DermAssist.

Michael A. Pfeffer, MD, FACP serves as Chief Information Officer and Associate Dean for Stanford Health Care and Stanford University School of Medicine. Michael oversees Technology and Digital Solutions (TDS), responsible for providing world class technology solutions to Stanford Health Care and School of Medicine, enabling new opportunities for groundbreaking research, teaching, and compassionate care across two hospitals and over 150 clinics. TDS supports Stanford Medicine’s mission to improve human health through discovery and care and strategic priorities to be value focused, digitally driven, and uniquely Stanford.
Michael is a Clinical Professor in the Department of Medicine and Division of Hospital Medicine with a joint appointment in the center for Biomedical Research (BMIR) in Stanford University School of Medicine. As such, Michael continues to provide clinical care as a Hospitalist Physician as well as teaching medical students and residents on the medicine inpatient wards.
Prior to joining Stanford Medicine, Michael served as the Assistant Vice Chancellor and Chief Information Officer for UCLA Health Sciences. During his tenure, Michael served as the lead physician for the largest electronic health record “big bang” go-live of its time, encompassing over 26,000 users. Michael subsequently became the first Chief Medical Informatics Officer for UCLA Health before transitioning into the Chief Information Officer position. Under his leadership, UCLA Health IT achieved numerous industry awards including the HIMSS Analytics Stage 7 Inpatient, Ambulatory, and Analytics Certifications; the Most Wired designation for eight consecutive years; US News & World Report’s Most Connected Hospitals; the Top Master’s in Healthcare Administration 30 Most Technologically Advanced Hospitals in the World; and the prestigious HIMSS Davies Award. Michael also implemented of one of the first ACGME-accredited Clinical Informatics Fellowship Programs and served as its Associate Program Director.
Michael has lectured worldwide on health information technology; served on the national HIMSS Physician Committee and as a HIMSS Stage 7 international site surveyor; and has published numerous peer-reviewed articles on health IT. Michael was featured in Becker’s Hospital Review as 10 physician CIOs to know and 12 standout healthcare CIOs and was one of LA’s top doctors in Los Angeles Magazine.

Dr.Castro has over 20 years of experience as a physician, entrepreneur, former Ceo of a medical health care system and author, and he is passionate about leveraging AI to transform healthcare delivery and outcomes as a Strategic advisor of ChatGPT & Healthcare. And yes we will be talking about his new book “ ChatGPT and Healthcare: The Key To New Future of Medicine”

He works with healthcare professionals and AI developers to create and implement AI adoption plans, identify innovative AI applications, and drive the integration of AI solutions.

His aim is to bridge the gap between AI technology, healthcare services, and strategic decision-making. His focus is on ensuring the alignment of AI with clinical needs, data integrity, technological compatibility, and staff training. He also shares his insights and vision through his books, publications, and public speaking engagements to increase awareness and inspire action on AI's transformative potential.

Yanshan Wang, PhD, FAMIA is vice chair of Research and assistant professor within the Department of Health Information Management. His research interests focus on artificial intelligence (AI), natural language processing (NLP) and machine/deep learning methodologies and applications in health care. His research goal is to leverage different dimensions of data and data-driven computational approaches to meet the needs of clinicians, researchers, patients and customers. Prior to joining Pitt, Wang was assistant professor in the Department of AI & Informatics at Mayo Clinic.

Wang has led several NIH-funded projects, which aimed to develop NLP and AI algorithms to automatically extract information from free-text electronic health records (EHRs), such as clinical notes, radiology reports, and pathology reports. He proposed several novel NLP methodologies to improve information retrieval (IR) and information extraction (IE) from clinical notes and applied those novel NLP approaches in multiple disease areas, including depression, pediatric asthma, Alzheimer’s disease, non-alcoholic fatty liver disease and fractures. He has served as Principal Investigator (PI) on multiple awards, including an Amazon AWS Diagnostic Development Initiative (DDI) Award. He has over 60 peer-reviewed publications.

Wang has been actively serving the informatics and NLP communities. He has served as a Student Paper Competition Committee for the AMIA Annual Symposium and was an associate editor for MedInfo conference. He is also a regular reviewer for a dozen of prestigious journals, such as Nature Communications, Bioinformatics, Journal of the American Medical Informatics Association (JAMIA), Journal of Biomedical Informatics (JBI) and IEEE Transactions on Knowledge and Data Engineering (TKDE), and PC members for multiple leading international conferences in health informatics, such as AMIA, ACM-BCB, IEEE-ICHI, and IEEE-BIBM. Wang also organized several shared tasks, including the first BioCreative/OHNLP challenge in 2018 and the second n2c2/OHNLP challenge in 2019, to encourage the informatics and NLP communities to tackle NLP problems in the clinical domain. He is also a steering committee member for the HealthNLP workshop. In 2020, he was inducted into the Fellows of AMIA (FAMIA).

Dr.Azra Bihorac is senior associate dean for research at the University of Florida College of Medicine and is the R. Glenn Davis Professor of Medicine, Surgery, Anesthesiology, and Physiology & Functional Genomics; the Lab Director of the Precision and Intelligent Systems in Medicine Research Partnership (PRISMAP); and Co-Director of the Intelligent Critical Care Center (IC3), a multi-disciplinary center focused on providing sustainable support and leadership for transformative medical AI research, education, and clinical applications to advance patients’ health in critical and acute care medicine. 

The journey of Dr. Bihorac’s medical career has spanned multiple continents, from her time as a medical student at the University of Sarajevo in Bosnia & Herzegovina to her role as a dean at the University of Florida in the United States. Through her research, she is addressing an unprecedented opportunity for world-leading ambient, immersive, and AI innovation to transform the diagnosis, monitoring, and treatment for critically and acutely ill patients. Dr. Bihorac’s vision is to develop tools for intelligent human-centered health care that is tailored to a patient’s “personal clinical profile” using digital data. She is a nationally and internationally recognized expert in medical AI, data science, informatics, and translational research, and earlier this year she was interviewed on NBC Nightly News and NPRabout the future of artificial intelligence in critical care. 

Dr. Bihorac is currently a PI for multiple NIH-funded programs, including a $23.5 million, multicenter Bridge2AI project called “A Patient-Focused CHoRUS for Equitable AI,” which seeks to develop a 100,000-patient dataset for AI research in critical care along with AI workforce training events and a set of standards for the ethical use of AI in critical care.

In this episode, we talk to Dr. Mohammad Ghassemi, Assistant Professor of Computer Science and Engineering at Michigan State University (MSU). He is an internationally renowned scientist and entrepreneur with extensive national and international consulting experience. He holds a Ph.D from the Massachusetts Institute of Technology in electrical engineering and computer science with a focus on artificial intelligence. Dr. Ghassemi was formerly a director of data science at S&P Global, and a strategic consultant with BCG. He has over ten years of technical and strategic consulting experience working with many of the world’s largest organizations. In 2018, his company (Ghamut Corporation) was the recipient of an NSF Small Business Innovation Research grant.

In 2018, Dr. Ghassemi joined Michigan State University as an Assistant Professor of Computer Science where he develops tools and systems that combine human and machine intelligence (A.I.) to solve problems that neither humans nor machines can solve as effectively alone. In 2021, he was named as one of nine individuals to serve as a National Scholar for Data and Technology Advancement at the NIH where he led the development of BRAINWORKS, a novel technology platform to visualize 40+ years of scientific knowledge as an interactive graph.

He is the lead inventor on multiple US Patents, the author of a widely consumed book on health informatics (over 1 Million downloads), and has authored over 30 peer-reviewed scientific papers in venues including: Nature (Scientific Data), Science (Translational Medicine), Proceedings of the IEEE, and the Proceedings of the Association for the Advancement of Artificial Intelligence. His scientific contributions have been cited over 5,000 times, and have been featured by several media outlets including: the BBC, NPR, The Wall Street Journal and Newsweek. In 2021, he was named an "AI Champion" for his contributions to the intersection of AI and medicine.

Dr. Nazha is an internationally known expert and a keynote speaker in the application of artificial intelligence and novel digital technologies such as blockchain, IoT, and others in healthcare, pharma, and life sciences. He is also an internationally recognized expert in treating patients with leukemia. His research focuses on the use of artificial intelligence, machine learning, and deep learning to translate genomic and complex healthcare data into useful clinical tools that can improve patient outcomes. He is currently and Executive Director of Early Clinical Development at Incyte. Prior to joining Incyte, Dr. Nazha was a Global Tech Business Development for Healthcare Solutions at Amazon Web Services. He was tasked in building innovative healthcare solutions using machine learning, AI, cloud computing and other digital services to accelerate the adaptation of digital technologies in healthcare. Prior to joining Amazon, Dr. Nazha was the Director of the Cleveland Clinic Center for Clinical Artificial Intelligence and an Associate Medical Director at Enterprise Analytics. He was also an Assistant Professor of Medicine at Lerner College of Medicine/Case Western Reserve University and an Associate Staff at the Department of Hematology and Medical Oncology at Taussig Cancer Institute, Cleveland Clinic.

In this episode of BrainX talks we talk to Edward "Ed" Marx. Ed serves as Chief Executive Officer of Divurgent. Divurgent is a solutions provider focused on what matters most to our client partners. Divurgent disrupts the typical value equation by using data-infused, flexible, and scalable solutions that demonstrate and quantify value for our partners. Edward is active on Boards, writing books and speaks globally.

Marx is an influential, veteran IT leader with deep experience in healthcare. He was the former Chief Digital Officer (CDO) for Tech Mahindra Health & Life Sciences and former Chief Information Officer (CIO) for Cleveland Clinic. He was also the governor-appointed chairman of the Texas Health Services Authority for eight years.

In recent years, two major national healthcare information technology organizations, the College of Healthcare Information Management Executives (CHIME) and the Healthcare Information Management Systems Society (HIMSS), named Marx the CIO of the year and listed him as one of the top 10 disruptive forces in healthcare. CIO and Computer World named Marx one of the “Top 100 Leaders,” and the Dallas Business Journal named him “Newcomer of the Year.”

Marx has won the coveted “People’s Choice” HISsies Award for top healthcare CIO four years in a row, and Becker’s Healthcare named him one of the “Top 25 Most Influential Executives in Healthcare,” one of the “Top 26 Smartest Healthcare IT Professionals,” and one of the “17 Most Influential Leaders in Healthcare.” Under his leadership, Texas Health hospitals and Cleveland Clinic achieved the highest designation (Stage 7) of the HIMSS Electronic Medical Record Adoption Model (EMRAM) and won the coveted “Davies Award” twice for best use of technology to enable business and clinical outcomes.

Edward is married to Simran and they have five children and four grandchildren. Simran holds a doctor of nursing practice (DNP). Both wellness fanatics, they love to exercise together and hike throughout the world. They co-wrote a book on marriage to be released in 2023. Edward is a 9+ year member of TeamUSA Triathlon and represents his country at championship events around the world.

In this episode we are joined by Dr. Pallavi Tiwari, Associate Professor in Radiology, and the co-director of Imaging and Radiation Sciences in the Carbone Cancer Center at University of Wisconsin Madison. Her research interests lie in machine learning, data mining, and image analysis for personalized medicine solutions in oncology and neurological disorders. Over the last 15 years, her research has been focused on developing novel image analysis methods for diagnosis, prognosis, and evaluating treatment response for different types of cancers as well as neurological disorders. Her research has so far evolved into over 60 peer-reviewed publications, 50 peer-reviewed abstracts, and 12 patents (7 issued, 5 pending). Dr. Tiwari has been a recipient of several scientific awards, most notably being named as one of 100 women achievers by Government of India for making a positive impact in the field of Science and Innovation. In 2018, she was selected as one of Crain’s Business Cleveland Forty under 40. In 2020, she was awarded the J&J. Women in STEM (WiSTEM2D) scholar award in Technology. In 2021, she was awarded the Honorary Early Career Achievement Award through the Society for Imaging informatics in Medicine. Dr. Tiwari has received certification of commendation from the General Assembly of the State of Ohio and from Ohio Secretary of State for her work in brain tumors. Dr. Tiwari’s team has secured over $7.5M in grant funding for their research, through the National Cancer Institute, Department of Defense, and various foundation and state grants.

Dr. Anthony Chang attended Johns Hopkins University for his B.A. in molecular biology prior to entering Georgetown University School of Medicine for his M.D. He then completed his pediatric residency at Children’s Hospital National Medical Center and his pediatric cardiology fellowship at the Children’s Hospital of Philadelphia.

He is currently the Chief Intelligence and Innovation Officer (CIIO) and Medical Director of the Heart Failure Program at Children’s Hospital of Orange County.He is the founder and medical director of the Medical Intelligence and Innovation Institute (MI3) that is supported by the Sharon Disney Lund Foundation. The institute is dedicated to implement data science and artificial intelligence in medicine and is the first institute of its kind in a hospital. He is the founder and organizing chair of many Artificial Intelligence in Medicine (AI Med) meetings in the U.S. and abroad (Europe and Asia) that will focus on artificial intelligence in healthcare and medicine (www.ai-med.io). He is the founder of a healthcare AI consulting firm, Medical Intelligence 10 (MI10). He has started a group for clinicians with a special focus on data science and artificial intelligence as Medical Intelligence Society, or MIS. He is the dean of the nascent American Board of Artificial Intelligence in Medicine (ABAIM) that will have education and certification of artificial intelligence in clinical medicine and health care as its mission.

Omar Badawi, PharmD, MPH, FCCM is the Director of Medical Device Safety for the National Evaluation System for health Technology Coordinating Center (NESTcc) where his primary role is in the development of an active surveillance program for medical device safety. Prior to NESTcc, he led the research for developing product-related predictive algorithms and decision support tools for acute care telehealth systems at Philips Healthcare and was the Program Manager for the Philips eICU Research Institute which supports collaborative research between industry, academia and clinicians using de-identified clinical data representing over 6 million ICU patients. He is also an Adjunct Assistant Professor with the University of Maryland School of Pharmacy and Research Affiliate at the Massachusetts Institute of Technology. He earned a Master in Public Health degree with a focus in Epidemiology and Biostatistics from The Johns Hopkins Bloomberg School of Public Health and is also a Fellow of the American College of Critical Care Medicine.

Dr.Reddy is an Artificial Intelligence (AI) in Healthcare researcher based at the Deakin School of Medicine besides being the founder/chairman of Medi-AI, a globally focused AI company. He also functions as a certified health informatician and is a World Health Organisation recognised digital health expert. Further, he is a Fellow of the Australasian Institute of Digital Health and a certified health executive with the Australasian College of Health Service Management. He has a medical and healthcare management background and has completed machine learning/ health informatics training from various sources. He is currently engaged in research about the safety, quality and explainability of the application of AI in healthcare delivery in addition to developing AI models to treat and manage chronic diseases. Also, he has authored several articles and books about the use of AI in Medicine. Further, he has set up local and international forums to promote the use of AI in Healthcare in addition to sitting on various international committees focusing on AI in Healthcare.

In this episode, we are joined by Professor Karin Verspoor, Executive Dean of the School of Computing Technologies at RMIT University in Melbourne, Australia and a Fellow of the Australasian Institute of Digital Health. We discuss her inspirational journey in applying various AI techniques to healthcare including self-harm detection, chem tables classification, information extraction in chemical patents, hospital cost estimation,  medical report generation and a lot of recent work on COVID. She has advice for clinicians and computer scientists on how to develop strong partnerships and also shares her vision for the future of AI in Healthcare.

About Prof. Verspoor:

Prof. Verspoor’s research primarily focuses on the use of artificial intelligence methods to enable biological discovery and clinical decision support, through extraction of information from clinical texts and the biomedical literature and machine learning-based modeling. Prof. Verspoor held previous posts as Director of Health Technologies and Deputy Head of the School of Computing and Information Systems at the University of Melbourne, as the Scientific Director of Health and Life Sciences at NICTA Victoria Research Laboratory, at the University of Colorado School of Medicine, and at Los Alamos National Laboratory. Early in her career, she spent 5 years in start-ups during the US Tech bubble, where she helped design an early artificial intelligence system.

More information: https://www.rmit.edu.au/contact/staff-contacts/academic-staff/v/verspoor-professor-karin

In this episode, we are joined by Dr. Suchi Saria as we discuss her journey starting as an engineer applying AI solutions to healthcare including development of state of the art prediction models, doing strategy and advocacy at the highest level of Government organizations to her recent very exciting startup called Bayesian Health. Suchi Saria is the John C. Malone Associate Professor of computer science at the Whiting School of Engineering and of statistics and health policy at the Bloomberg School of Public Health. She directs the Machine Learning and Healthcare Lab and is the founding research director of the Malone Center for Engineering in Healthcare. She was invited to join the National Academy of Engineering’s Frontiers of Engineering program in 2017 and, in 2018, to join the National Academy of Medicine’s program for Emerging Leaders in Health and Medicine. Saria came to Johns Hopkins in 2012. Prior to that, she received her Ph.D. from Stanford University working with Daphne Koller.

Saria’s goal is to use sophisticated computer science and the deluge of data available in health care and other settings to individualize patient care and to save lives. Her pioneering work centers on enabling new classes of diagnostic and treatment planning tools for health care—tools that use statistical machine-learning techniques to tease out subtle information from “messy” observational datasets, and provide reliable inferences for individualizing care decisions.

Saria’s work has received recognition including: best paper awards at machine learning, informatics, and medical venues; a Rambus Fellowship (2004-2010), an NSF Computing Innovation Fellowship (2011); selection by IEEE Intelligent Systems to Artificial Intelligence’s “10 to Watch” (2015); the DARPA Young Faculty Award (2016); and the Sloan Research Fellowship (2018). She has also been named as one of Popular Science magazine’s “Brilliant 10” (2016); one of MIT’s “35 Innovators Under 35” (2017); and a member of the World Economic Forum’s Young Global Leaders (2018).In 2017, Saria’s work was among four research contributions presented by France Córdova, Director of the National Science Foundation, to the U.S. House of Representatives” Commerce, Justice Science Appropriations Committee.

More information about Dr. Saria can be found here: https://suchisaria.jhu.edu/

Dr. Tavpritesh Sethi is a physician-scientist and Associate Professor of Computational Biology at Indraprastha Institute of Information Technology Delhi, India and a fellow of the Wellcome Trust/DBT India Alliance at All India Institute of Medical Sciences, New Delhi, India. He was a visiting faculty member at Stanford University, School of Medicine from February 2017 to January 2019. He received his M.B.B.S from Government Medical College, Amritsar and PhD from CSIR-Institute of Genomics and Integrative Biology, New Delhi, India. Dr. Sethi specializes in improving outcomes in neonatal, child and maternal health by bridging medicine and artificial intelligence. His research is focused on development and deployment of machine-learning based solutions to enable decisions and policy in pressing healthcare questions such as antimicrobial resistance, sepsis and health inequalities in intensive care and public health settings. He has authored over 30 research articles and has been a recipient of MIT-TR35 India Innovators under 35, Welcome Trust/DBT India Alliance Early Career Award. He is an editorial board member of PLOS One, Systems Medicine and Journal of Genetics. Dr. Sethi is a member of the European Association of Systems Medicine and leads the Australasia region for International Association of Systems and Networks Medicine (IASyM).

In this episode we discuss with him his evolutionary journey from being a physician to a world renowned physician-data scientist. Dr.Sethi talks about some of his award winning work which is focused on tackling read world challenges with AI such as hand hygiene, COVID-19 pandemic, sepsis and health disparities. He shared his valuable experience of fostering collaboration amongst clinicians, data scientists, governments and other organizations to find scalable AI solutions.Lastly, Dr.Sethi provided his vision for the future opportunities and applications of AI in healthcare and what excites him the most about the future.

Maxime Cannesson, MD, PhD, is a board-certified anesthesiologist with more than 15 years of experience in academic medicine, leadership, education, research, quality, and technology development, working collaboratively within and among various countries, departments, academic institutions, and industry. He is Professor and Chair of the Department of Anesthesiology and Perioperative Medicine at UCLA. He has published more than 200 peer reviewed articles and three textbooks. 

Excited to bring to you all Dr.Leo Anthony Celi, a name that I grew up with reading and admiring his landmark work in big data analytics pertinent to critical care. As clinical research director and principal research scientist at the MIT Laboratory for Computational Physiology (LCP), and as a practicing intensive care unit (ICU) physician at the Beth Israel Deaconess Medical Center (BIDMC), Leo brings together clinicians and data scientists to support research using data routinely collected in the process of care. His group built and maintains the publicly-available Medical Information Mart for Intensive Care (MIMIC) database and the Philips-MIT eICU Collaborative Research Database, with more than 25,000 users from around the world. In addition, Leo is one of the course directors for HST.936 – global health informatics to improve quality of care, and HST.953 – collaborative data science in medicine, both at MIT. He is an editor of the textbook for each course, both released under an open access license. "Secondary Analysis of Electronic Health Records" has been downloaded more than a million times, and has been translated to Mandarin, Spanish and Korean. He is the inaugural editor of PLOS Digital Health.

Jihad Kaouk, MD FACS, FRCS (Glasgow) is an American Board certified Urologist and the Director of the Center for Advanced Robotic and Image Guided Surgery at the Cleveland Clinic Glickman Urological and Kidney Institute. He also serves as a Professor of Surgery at the Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, the Vice Chair of Enterprise Surgical Operations and the chair holder for the Zegarac-Pollock Endowed Chair in laparoscopic and robotic surgery.

Dr. Kaouk has performed several "first" surgical procedures, including the first Robotic single port surgery through the belly button in 2008, the first completely transvaginal kidney removal in 2009, and the first robotic perineal prostatectomy in 2014. Dr. Kaouk holds 2 USA patents for medical devices used mainly during partial nephrectomy and in robotic surgery. Currently Dr. Kaouk chairs the American Urological Association’s  “Laparoscopic, Robotic and New Technology” committee.

In this episode, Dr. Kaouk shares advances in robotic surgeries and its current state of the art applications in the operating room. He presents his innovative views on how robotics is supporting surgeons perform surgeries which improve patient outcomes, address complex operative challenges and integrates data from other sources such as imaging. Moderated by Dr. Frank Papay, Chair of Dermatology and Plastic Surgery Institute at the Cleveland Clinic and Alok Kothari, Machine Learning Engineer, they discuss the future applications of robotics and applications of artificial intelligence to provide better guidance to the clinicians in the operating room.

Dr. Narges Razavian is an assistant professor in the Departments of Population Health and Radiology conducting research in the Center for Healthcare Innovation and Delivery Science (CHIDS), and a member of its Predictive Analytics Unit.

In this episode we dig deeper into her team's recent work with using graph neural networks to represent EHR data. Dr. Razavian's team was able to validate their model predictions by predicting onset of dementia 2 years in advance. We talked about data gaps within an EHR and challenges specially for ICU patients due to lack of data capture. Dr. Razavian spoke about her experience fighting on the frontlines of the COVID pandemic with data science, especially as New York was one of the first cities to be affected by it. She spoke about how the questions they tackled changed with the course of the pandemic from: how to determine who might be having covid during the early days to how to free up capacity as the pandemic intensity increased.

Dr. Razavian also shared her practical thoughts on how data scientists and clinicians can become better collaborators. She is now very excited about scaling machine learning to be deployable at the point-of-care, a skill her team mastered during COVID.

In this episode we talk to Lama Nazer, who joins all the way from Jordan, Amman! Lama is a critical care clinical pharmacy specialist at the King Hussein Cancer Center in Jordan and is a thought leader in critical care pharmacy and big data applications with the Society of Critical Care Medicine.

In this episode, she tells us what brought her to the field of critical care medicine, and how noticing the volume of data flowing in and out of critical care systems sparked her interest in AI. She also describes what working with data in critical care entails and some interesting projects that she is working on - a particularly interesting one is about predicting adverse reactions to cancer chemotherapy and assessesing when risks of treatment may outweigh benefits.

Bart Geerts MD,PhD is a multi-specialty physician ( anaesthetist and intensivist), entrepreneur and researcher who aims to improve patient health and health care with artificial intelligence, mHealth and other med tech through empowerment and process optimization. Bart has over ten years of clinical experience as an anaesthetist, intensivist and clinical pharmacologist in the Netherlands and UK. He has managed a research group of more than ten scientists with a focus on medical technology and big data. Bart has studied medicine (MD), biomedical sciences (MSc), intensive care medicine (PhD), and global business (MBA).

Three years ago, Bart started Healhtplus.ai. This start-up of eight people is currently performing clinical trials at three European sites to study the impact of a machine-learning tool, called PERISCOPE, that predicts infections after surgery in adults. He is hoping to make a dent in one of the major problems occurring in surgical care today.

His landmark work with the hypotension prediction index was published last year in the JAMA and is leading to ongoing research and collaborative efforts for validation in different surgical and critical care populations the world over: Wijnberge M, Geerts BF, Hol L, Lemmers N, Mulder MP, Berge P, Schenk J, Terwindt LE, Hollmann MW, Vlaar AP, Veelo DP. Effect of a Machine Learning-Derived Early Warning System for Intraoperative Hypotension vs Standard Care on Depth and Duration of Intraoperative Hypotension During Elective Noncardiac Surgery: The HYPE Randomized Clinical Trial. JAMA. 2020 Mar 17;323(11):1052-1060. doi: 10.1001/jama.2020.0592. PMID: 32065827; PMCID: PMC7078808.

In this episode we speak to Dr. Piyush Mathur and Dr. Frank Papay, Co-founders  of BrainX and BrainX Community; staff physicians at Cleveland Clinic, Ohio. We understand how BrainX came to be and how it has evolved since. We also get their takes on AI and Healthcare.