Thoughtfully incorporating artificial intelligence (AI) into medicine is a top priority of DBMI. As a leader in medical and scientific education and research, Harvard Medical School as a whole also aims to support pioneering applications of AI that can enhance learning, improve health outcomes, increase productivity, and accelerate biomedical discoveries. Through its Innovation Awards program, the Office of the Dean, led by Dean George Q. Daley, has funded the following initiatives led by DBMI members to explore how AI can be leveraged. The recipients were announced today in an email to the HMS community from the dean.
Education Awards
- A framework for simulation-based dental education using generative modeling
Magda Feres, Chia-Yu Chen, Balazs Feher, Sang Lee, Nathan Palmer, and Andreas Werdich - Learning modules for generative AI in computing and data science education
Aparna Nathan
Research Awards
- Language into clinical data (LCD)
Zak Kohane and Paul Avillach - AI-human collaboration for multimodal medical diagnosis
Arjun Manrai - A conversational framework for assessing medical large language models
Pranav Rajpurkar - Generative artificial intelligence for explainable colorectal pathology evaluation
Kun-Hsing Yu and Chris (Shih-Yen) Lin - Exploring multimodal and generative protein language models for therapeutic development
Marinka Zitnik