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BrainX Talks

Alok Kothari and Ashish Khanna

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Conversations in AI for all!

BrainX Talks

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Conversation with Dr.Azra Bihorac

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.

Conversation with Prof. Mohammad Ghassemi

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.

Conversation with Aziz Nazha

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.

Conversation with Ed Marx

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.

Conversation with Dr.Janak Gunatilleke

Dr Janak Gunatilleke has more than 16 years’ experience in healthcare. He has a specialised skill set, with experience both working as a medical doctor and developing and implementing data-driven and technology-enabled improvements in healthcare. He co-founded the AI technology firm Conscient AI Labs. Janak was a member of the evaluation panel for the NHS AI in Health and Care Award and is a fellow of the Faculty of Clinical Informatics in the UK. He has an Executive MBA from the University of Cambridge and is completing his dissertation for a Master’s in Data Science, Technology and Innovation from the University of Edinburgh.More information on his thinking at https://www.unlockaiforhealth.com/

Conversation with Dr. Pallavi Tiwari

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.

Conversation with Dr.Jorge Salluh

I speak with Dr.Jorge Salluh, Intensivist and Researcher, critical care dept D'or Institute for research and education and Professor, Postgrad program, Federal university, Rio de Janeiro, Brazil. Jorge wears many hats that cross the space of big data analytics, AI and ML, this includes being a Co-founder of Epimed, Board member of BRICNet (brazilian research in intensive care network) and LOGIC (Linking of Global Intensive Care). These organizations have done tremendous work in making open source ICU level data from Brazil and other parts of the world linked together on a common platform. Dr.Salluh and indeed all of us are looking for collaborators who want to utilize these resources! Please see links below: LOGIC - www.icubenchmarking.com [icubenchmarking.com] Bricnet - www.bricnet.org [bricnet.org] Brazilian ICUs registry- www.utisbrasileiras.com/en [utisbrasileiras.com] Epimed- https://www.epimedsolutions.com/en/ [epimedsolutions.com] https://www.linkedin.com/in/jsalluh/ [linkedin.com] Twitter: @jsalluh

Conversation with Dr.Anthony Chang

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.

Conversation with Omar Badawi

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.

Conversation with Dr.Sandeep Reddy

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.

Conversation with Prof. Karin Verspoor

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…

Conversation with Prof. Suchi Saria

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 Daphn…

Conversation with Dr. Tavpritesh Sethi

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 recipien…

Conversation with Dr.Maxime Cannesson

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.

Conversation with Dr.Leo Celi

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…

Conversation with Dr. Jihad Kaouk

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 th…

Conversation with Dr. Narges Razavian

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 a…

Conversation with Lama Nazer

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.

Conversation with Dr. Anant Madabhushi

Anant Madabhushi, PhD, is the Donnell Institute Professor of biomedical engineering at Case Western Reserve University (CWRU) in Cleveland and director of the university’s Center for Computational Imaging and Personalized Diagnostics (CCIPD). Madabhushi’s team at CCIPD is developing and applying novel Artificial Intelligence (AI) and machine learning approaches for the diagnosis, prognosis and prediction of therapy response for a variety of diseases including several different types of cancers, cardiovascular disease, kidney and eye disease. The Center is located in Cleveland’s unique medical ecosystem, an extensive clinical network within which it boasts numerous successful collaborations including with the Cleveland Clinic and the Cole Eye Institute, University Hospitals, the VA Louis Stokes Medical Center, MetroHealth, and the Case Comprehensive Cancer Center at CWRU. https://case.edu/medicine/ccir/faculty/anant-madabhushi In this episode, Dr. Anant Madabhushi, a world lea…

Conversation with Dr. Bart Geerts

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 t…

Conversation with Dr. Mathur and Dr. Papay

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.

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