HI-ML open-source toolbox
Open-source tools to help simplify deep learning models for healthcare and life sciences
微软研究院博客
AI saw unparalleled growth in 2023, reaching millions daily. This progress owes much to the extensive work of Microsoft researchers and collaborators. In this review, learn about the advances in 2023, which set the stage for further progress in 2024.
| Gretchen Huizinga, Javier Alvarez-Valle, 和 Raj Jena
Microsoft Health Futures’ Javier Alvarez & oncologist Raj Jena have been collaborating for years on AI-assisted medical imaging. Today, their work is seeing real-world impact, helping doctors accelerate cancer patients’ access to treatment.
| 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…