(Moderated by Suchi Saria, John C. Malone Professor of Computer Science at Johns Hopkins University) Scott Levin, Johns Hopkins School of Medicine & StoCastic Camille Vidal, GE Healthcare Leo Grady, Paige.AI Dorin Comaniciu, Siemens Healthineers
In this episode, Gary discussed the recent HIMSS conference with John Glaser, Ph.D., Executive-in-Residence, Harvard Medical School, Kaveh Safavi, M.D., J.D., Senior Managing Director, Accenture, and Suchi Saria, Ph.D., Founder and CEO, Bayesian Health. They discussed the utility of in-person meetings, as well as the many cutting edge technologies that will be influencing healthcare systems in the near future. For More Info about The Gary Bisbee Show Visit: https://www.thinkmedium.com/programs/the-gary-bisbee-show Suchi Saria, Ph.D., is the Founder and CEO of Bayesian Health, the John C. Malone Associate Professor of computer science, statistics, and health policy, and the Director of the Machine Learning and Healthcare Lab at Johns Hopkins University. She has published over 50 peer-reviewed articles with over 3000 citations and was recently described as “the future of 21st century medicine” by The Sloan Foundation. Her research has pioneered the development of next-generation diagnostic and treatment planning tools that use statistical machine learning methods to individualize care. At Bayesian Health, Dr. Saria is leading the charge to unleash the full power of data to improve healthcare, unburdening caregivers and empowering them to save lives. Backed by 21 patents and peer-reviewed publications in leading technical and clinical journals, Bayesian leverages best-in-class machine learning and behavior change management expertise to help health organizations unlock improved patient care outcomes at scale by providing real-time precise, patient-specific, and actionable insights in the EMR. Dr. Saria earned her M.Sc. and Ph.D. from Stanford University working with Professor Daphne Koller. She visited Harvard University as an NSF Computing [More]
Could machine learning give new insights into diseases, widen access to healthcare, and even lead to new scientific discoveries? Already we can see how machine learning can increase the accuracy of diagnoses from medical imaging, and may be able to predict a patients risk of disease. This Keynote Session includes short talks by Lily Peng of Google Brain and Jessica Mega of Verily (Alphabet) about how they are bringing technological innovations in AI and machine learning to healthcare. Rate this session by signing-in on the I/O website here → https://goo.gl/Bj2YZD Watch more machine learning sessions from I/O ’18 here → https://goo.gl/9MB2o7 See all the sessions from Google I/O ’18 here → https://goo.gl/q1Tr8x Subscribe to the Google Developers channel → http://goo.gl/mQyv5L #io18 event: Google I/O 2018; re_ty: Publish; product: Cloud – Healthcare and Life Sciences – Healthcare Natural Language AI, TensorFlow – General; fullname: Lily Peng, Jessica Mega; event: Google I/O 2018;
In this episode, Gary discussed the recent HIMSS conference with John Glaser, Ph.D., Executive-in-Residence, Harvard Medical School, Kaveh Safavi, M.D., J.D., Senior Managing Director, Accenture, and Suchi Saria, Ph.D., Founder and CEO, Bayesian Health. They discussed the utility of in-person meetings, as well as the many cutting edge technologies that will be influencing healthcare systems in the near future. For More Info about Day Zero Visit: https://www.thinkmedium.com/programs/day-zero Suchi Saria, Ph.D., is the Founder and CEO of Bayesian Health, the John C. Malone Associate Professor of computer science, statistics, and health policy, and the Director of the Machine Learning and Healthcare Lab at Johns Hopkins University. She has published over 50 peer-reviewed articles with over 3000 citations and was recently described as “the future of 21st century medicine” by The Sloan Foundation. Her research has pioneered the development of next-generation diagnostic and treatment planning tools that use statistical machine learning methods to individualize care. At Bayesian Health, Dr. Saria is leading the charge to unleash the full power of data to improve healthcare, unburdening caregivers and empowering them to save lives. Backed by 21 patents and peer-reviewed publications in leading technical and clinical journals, Bayesian leverages best-in-class machine learning and behavior change management expertise to help health organizations unlock improved patient care outcomes at scale by providing real-time precise, patient-specific, and actionable insights in the EMR. Dr. Saria earned her M.Sc. and Ph.D. from Stanford University working with Professor Daphne Koller. She visited Harvard University as an NSF Computing Innovation Fellow [More]
AI Health Pioneer Suchi Saria tells us that data is all around us. Together with machine learning, data can save more lives. In her TEDMED 2020 Talk, Suchi takes us on a journey of perseverance and ingenuity. A story of personal tragedy led Suchi to build a platform that delivers targeted real-time early warning solutions for early detection of patients at risk for major complications. Suchi argues that the effective integration of AI into health and medicine requires that Electronic Medical Records are accessible for integration with other systems. Another critical recommendation has to do with policy and financial incentives. It is not enough for technology to merely show that it improves patient outcomes. Suchi reminds us that for critical adoption of life saving technologies, these technologies must align with financial incentives for healthcare organizations. Watch Suchi Saria’s powerful TEDMED 2020 Talk “Bringing AI to the bedside,” to unlock the future of AI and machine learning to save lives.
Rahul is CIO at Wadhwani AI and is passionate about using the power of AI to deliver social good. They adopt a multi-partner approach to realize these goals and their current projects include reducing cotton losses to prevent farmer suicides, building a virtual weighing machine for frontline workers to screen for low-birth-weight babies in rural homes and caseload estimation for tuberculosis at the district level in India. – This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
“Deep Learning” is an area in artificial intelligence research and design where a “ton of breakthroughs are happening right now,” says Fast.AI co-founder Rachel Thomas. Fast.AI’s mission in the AI space is to make Deep Learning more accessible to more people. Where before, you’d need graduate-to-Ph.D.-level work in math just to understand what’s going on, now Fast.AI’s course ware makes Deep Learning techniques available to everyday coders. In the last five to six years, Deep Learning has become a hot topic. Technically, Deep Learning is like any other kind of AI, in that it makes your computer behave intelligently. This has been around for decades. The difference is, in the last few years, it’s started to take off as sub-field of its own. Deep Learning algorithms mimic neural networks in the brain. And the technology is improving exponentially every year, exceeding human intelligence in some cases. By Deep Learning,” Fast.AI co-founders Rachel Thomas and Jeremy Howard are referring to a very specific class of algorithms applied to specific problems, for example, transcribing speech to text. Fundamentally, Fast.AI is an education company. The course offered is free. The goal is to help companies train the smart employees they already have to utilize Deep Learning technology.