Technologists Bill Gates and Sébastien Bubeck discuss the state of generative AI in medicine, how access to “medical intelligence” might help empower people across healthcare, and how AI’s accelerating improvements are likely to affect both…
In this final episode of the series. Microsoft health leaders look three years into the future and predict some big innovations to come. Their forecasts include multimodal AI agents that will transform healthcare by saving…
Healthcare AI agents can now be customized and evaluated to tackle even more of the “undifferentiated heavy lifting” in healthcare. One example is to organize complex patient data into clear timelines to quickly understand the…
New advances in AI technology are helping fulfill longstanding expectations for game-changing healthcare improvements. This episode dives into the key advances—such as attention mechanisms, self-supervision, and large-scale data—which enable models to understand and work with…
In this episode, the panel explores the broad use of Microsoft Teams as a trusted communications tool already in use in clinical workflows. By meeting healthcare professionals where they work, with privacy and compliance features…
Healthcare innovation is moving more quickly than ever from research to real-world applications. This episode explores the accelerated research cycles and sharing of information and feedback that drives faster technology incubation, finetuning and scaling. This…
In this episode, the team explores the value of including different perspectives when addressing a complex challenge. They reflect on lessons learned: innovation works best when everyone has a seat at the table. By combining…
In this episode, Microsoft Research and Microsoft Health and Life Sciences leaders reflect on how AI is beginning to ease real-world challenges in healthcare. From reducing the burden of clinical documentation to improving data access…
Ethan Mollick and Azeem Azhar, thought leaders at the forefront of AI’s influence on work, education, and society, discuss the impact of AI at the individual level and what that means for the healthcare workforce…
