In-context: July 8, 2026
In-context: July 8, 2026
Here’s a quick wrap of the three papers we found interesting over the last few weeks with some take home points.
00:40 - Towards Conversational AI for Disease Management and Towards autonomous medical artificial intelligence agents
10:40 - Physicians and artificial intelligence diverge in evaluating large language models on real clinical cases
15:40 - Evaluating the robustness and readiness of large frontier models in health AI applications
Some resources and papers we discuss:
Liévin, V., Palepu, A., Weng, WH. et al. Towards Conversational AI for Disease Management. Nature (2026). https://doi.org/10.1038/s41586-026-10764-5
Ferber, D., Hilgers, L., Höper, C. et al. Towards autonomous medical artificial intelligence agents. Nature (2026). https://doi.org/10.1038/s41586-026-10675-5
Shi, P., Li, J., Yang, Z. et al. Physicians and artificial intelligence diverge in evaluating large language models on real clinical cases. npj Digit. Med. (2026). https://doi.org/10.1038/s41746-026-02942-6
Gu, Y., Fu, J., Liu, X. et al. Evaluating the robustness and readiness of large frontier models in health AI applications. Nat Med (2026). https://doi.org/10.1038/s41591-026-04501-8