Nouvelles et reportages

Collaborators: Healthcare Innovation to Impact
| Matthew Lungren, Jonathan M. Carlson, Smitha Saligrama, Will Guyman, et Cameron Runde
In this discussion, Matthew Lungren, Jonathan Carlson, Smitha Saligrama, Will Guyman, and Cameron Runde explore how teams across Microsoft are working together to generate advanced AI capabilities and solutions for developers and clinicians around the globe.

Real-world healthcare AI development and deployment—at scale
| Peter Lee, Matthew Lungren, et Seth Hain
Microsoft’s Dr. Matthew Lungren and Epic’s Seth Hain discuss the challenges and opportunities of leveraging generative AI for enhanced patient care and improved clinical documentation and recordkeeping at scale—plus what’s next for the technology in the field.

GPT-4’s potential in shaping the future of radiology
| Javier Alvarez-Valle et Matthew Lungren
This research paper is being presented at the 2023 Conference on Empirical Methods in Natural Language Processing (opens in new tab) (EMNLP 2023), the premier conference on natural language processing and artificial intelligence. In recent years, AI has been increasingly…

Accounting for past imaging studies: Enhancing radiology AI and reporting
| Ozan Oktay, Javier Alvarez-Valle, et 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…