Alistair Johnson, Jean-Christophe Bélisle-Pipon, David Dorr, Satrajit Ghosh, Philip Payne, Maria Powell, Anaïs Rameau, Vardit Ravitsky, Alexandros Sigaras, Olivier Elemento, Yael Bensoussan
A dataset of voice recordings and metadata to enable the development, benchmarking, and validation of clinically applicable machine-learning models for diagnosing a wide range of health conditions. Published: Nov. 27, 2024. Version: 1.0Sebnem Kuzulugil, Chloe Pou-Prom, Muhammad Mamdani, Joshua Murray, Amol Verma, Kaiyin Zhu, Michaelia Banning
The General Internal Medicine (GIM) dataset is comprised of de-identified health related data associated with over 22,000 patient encounters for 14,000 unique patients who were admitted under the GIM service at St. Michael’s Hospital. Published: March 17, 2023. Version: 1.0.1William Tran, Fang-I Lu, Katarzyna Jerzak
This dataset includes high-resolution digital slides and clinical data from 157 high-risk breast cancer patients treated with neoadjuvant chemotherapy, supporting AI research. Published: Oct. 2, 2025. Version: 1.0.0Sarah Berger, Mark Boulos, Dennis Tchoudnovski, Alana Byeon, Anu Tandon, Brian Murray
Data from Sunnybrook Sleep Laboratory that includes de-identified raw overnight signals, scored sleep metrics, sleep and health questionnaires, and medications/medical history. Published: Dec. 9, 2024. Version: 1.0Alistair Johnson, Jean-Christophe Bélisle-Pipon, David Dorr, Satrajit Ghosh, Philip Payne, Maria Powell, Anaïs Rameau, Vardit Ravitsky, Alexandros Sigaras, Olivier Elemento, Yael Bensoussan
A dataset of voice recordings and metadata to enable the development, benchmarking, and validation of clinically applicable machine-learning models for diagnosing a wide range of health conditions. Published: Nov. 27, 2024. Version: 1.0