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Dr. Ding leads the AI in Healthcare course modules of UT Austin's online master's degree in AI.
In this episode, I talk with Bo Holland, CEO of AllClear ID Health, to learn about Health Bank One, the world's first digital health bank. Health Bank One combines a patient’s medical records with AI to produce personalized insights for everyone involved in their care. Bo shares his personal story of his son's brain cancer diagnosis and the difficulty they faced sharing his medical records throughout his treatment and the communication issues of not understanding the complex medical jargon the industry uses. Having extensive experience in the banking industry, Bo decided he wanted to apply that same model to healthcare—put all the information in one centralized account and authorize access to everyone involved in a patient's care with the highest security and privacy. Join us to hear Bo's story and how Health Bank One is planning to unblock healthcare.
In this episode of Health AI Insights, we sit down with Edison Thomaz, an expert in wearable technology and AI-driven health tracking systems. Edison shares his journey from academia to leading groundbreaking research in personal health informatics. We explore how wearable devices are transforming patient care, providing real-time health insights, and empowering individuals to take control of their wellness. Tune in to discover the future of AI in healthcare and how it's shaping the next generation of health monitoring.
In this episode of Health AI Insights, I sit down with Dr. James Tunnell, a leading researcher in AI and healthcare, to explore his groundbreaking work in multimodal confocal microscopy (MCM) and its applications in skin cancer diagnosis and treatment. We dive into the future of Mohs surgery and how MCM, combined with machine learning, could revolutionize the field, potentially reducing procedure times and improving access to care in underserved areas. Join us as we discuss the future of AI in dermatology and the potential of optical imaging technologies to transform healthcare.
In this episode of Health AI Insights, we have the pleasure of speaking with Dr. Jon Tamir, an expert in medical imaging and computational health at UT Austin. Dr. Tamir is an Assistant Professor in the Department of Electrical and Computer Engineering and a researcher in the AI Health Lab. Join us as we discuss the transformative applications of AI in medical imaging, exploring cutting-edge advancements and the impact they have on healthcare diagnostics. Dr. Tamir also provides a forward-looking perspective on how AI will shape the future of imaging technologies and discusses his latest research aimed at pushing the boundaries of healthcare innovation. You won’t want to miss this deep dive into the role of AI in reshaping the landscape of medical imaging.
In this episode of Health Al Insights, we dive into the transformative world of Al in pediatric cardiology by spotlighting the upcoming PedsCardio Al Conference hosted by the University of Texas on September 5th-7th. Join us as we explore the groundbreaking advancements and discussions that will take place at this event, which brings together leading experts, researchers, and clinicians dedicated to leveraging Al for diagnosing and treating heart conditions in children.
In this episode of Health Al Insights, we have the pleasure of speaking with Dr. Daniel Stromberg, a renowned pediatric cardiologist. Dr. Stromberg is the Director of Cardiac Critical Care at Dell Children's Hospital and a professor at Dell Medical School. Join us as we discuss the transformative applications of Al in cardiology, exploring both the promising advancements and the ethical concerns surrounding this technology. Dr. Stromberg also shares insights into the future of Al in cardiology and discusses the innovative Al health projects currently underway in the field. Don't miss this enlightening conversation on the intersection of Al and pediatric cardiology.
Dr. Chakraborty is currently a Research Staff Member and global sub-theme lead at IBM Research in the Center of Computational Health at the IBM T.J. Watson Research Center, NY. His work focuses on applications of data science towards patient health characterization and risk modeling. Broadly, his research interests are temporal data mining, machine learning and causal inference.
Dr. Durrett is an assistant professor of Computer Science at UT Austin. His current research focuses on making natural language processing systems more interpretable, controllable, and generalizable, spanning application domains including question answering, textual reasoning, summarization, and information extraction. His work is funded by a 2022 NSF CAREER award and other grants from agencies including the NSF, DARPA, Salesforce, and Amazon.
Dr. Glicksberg is an assistant professor at the Icahn School of Medicine at Mount Sinai in the departments of AI in Human Health; Medicine; and Genetics and Genomic Sciences, and a member of the Hasso Plattner Institute for Digital Health. He is also an adjunct faculty member of digital engineering at the Hasso Plattner Institute in Potsdam, Germany. His research uses machine learning to couple multi-modal patient health data to forward personalized medicine.