arXiv:2311. 18424v3 Announce Type: replace-cross Abstract: Developing artificial intelligence (AI) algorithms for healthcare is a collaborative effort, bringing data scientists, clinicians, patients and other stakeholders together.
By Rafael Henkin, Elizabeth Remfry, Duncan J. Reynolds, Megan Clinch, Michael R. Barnes
OpenAI and Penda Health debut an AI clinical copilot that cuts diagnostic errors by 16% in real-world use—offering a new path for safe, effective AI in healthcare.
arXiv:2408. 02677v2 Announce Type: replace-cross Abstract: This study proposes a novel, integrative framework for patient-centered data science in the digital health era.
By Mohsen Amoei, Dan Poenaru
The article reports on the deployment of imaging AI across six hospitals using the open, self‑hosted PACS‑AI platform. It emphasizes that the main limitation is not model accuracy but the infrastructure needed to route studies, display results, collect feedback, and audit runs. In one center, angiography models processed 84.8% of jobs, with failures mainly due to missing diagnostic views, and 78.1% of clinician ratings were positive.
By Samuel Kadoury, Julie G. Hussin, Pascal Th\'eriault-Lauzier, Laurent L\'etourneau-Guillon, Rob Lewis, Adam McArthur, Gordon J. Harris, Houda Bahig, Pierre-Luc D\'eziel, Jay Kshirsagar, Jacob L. Jaremko, Julien Cohen-Adad, Jacques Delfrate, Robert Avram
OpenAI and the Gates Foundation launch Horizon 1000, a $50M pilot advancing AI capabilities for healthcare in Africa. The initiative aims to reach 1,000 clinics by 2028.
arXiv:2606. 26494v1 Announce Type: new Abstract: Medical AI remains organized around isolated models, whereas clinical care requires accountable capabilities that persist across time.
By Tianhan Xu, Lei Bao, Yongxiang Wang