Microsoft Health Futures
新闻与深度文章
新闻报道 | Clinical Leader
AI’s Potential To Improve Clinical Operations, Trial Matching
With the rise of generative AI models like ChatGPT, there come questions of how this technology can be used in industry, especially in healthcare. At this year’s DIA conference, Dr. Hoifung Poon, general manager of Microsoft Health Futures, spoke about…
| Hoifung Poon
This content was given as a keynote at the Workshop of Applied Data Science for Healthcare and covered during a tutorial at the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (opens in new tab), a premier forum…
新闻报道 | JAMA
Large Language Models Answer Medical Questions Accurately, but Can’t Match Clinicians’ Knowledge
This article is about how these models could be used in medical scenarios, current limitations and future research areas, and the how the medical community should agree on how to use this technology.
新闻报道 | CBS News
Microsoft vice president on the future of AI and medicine
Peter Lee spoke to CBS News chief medical correspondent, Dr. Jon LaPook, about the promise of AI to reducing tasks that are burdening healthcare professionals so they can focus on their patients.
Digital art techniques can now devise custom, working biomolecules on demand. Read about recent advances in protein design, including MSR’s research into protein structure generation via folding diffusion.
新闻报道 | Microsoft News Centre UK
How AI is helping to shrink waiting times for NHS cancer patients
The National Health Service at Addenbrooke’s Hospital in Cambridge is now able to plan radiotherapy treatments faster than in the past, thanks to AI advances that are cutting wait times. As the NHS approaches its 75th birthday, it continues to…
新闻报道 | BBC Newsnight
AI cuts treatment time for cancer radiotherapy
A new type of artificial-intelligence technology that cuts the time cancer patients must wait before starting radiotherapy is to be offered at cost price to all NHS trusts in England. It helps doctors calculate where to direct the therapeutic radiation…
| Ozan Oktay, Javier Alvarez-Valle, 和 Matthew Lungren
The use of self-supervision from image-text pairs has been a key enabler in the development of scalable and flexible vision-language AI models in not only general domains but also in biomedical domains such as radiology. The goal in the radiology…
AI and the Future of Health
| Desney Tan
Read about some of our research team’s work to make healthcare more data-driven, predictive, and precise – ultimately, empowering every person on the planet to live a healthier future.