Sharman, Michael

HealthBench: Evaluating Large Language Models Towards Improved Human Health

Arora, R. K., Wei, J., Hicks, R. S., Bowman, P., Quiñonero-Candela, J., Tsimpourlas, F., Sharman, M., Shah, M., Vallone, A., Beutel, A., et al. (2025) · arXiv

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GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks

Patwardhan, T., Dias, R., Proehl, E., Kim, G., Wang, M., Watkins, O., Fishman, S. P., Aljubeh, M., Thacker, P., Fauconnet, L., et al. (2025) · arXiv

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OpenAI GPT-5 System Card

Singh, A., Fry, A., Perelman, A., Tart, A., Ganesh, A., El-Kishky, A., McLaughlin, A., Low, A., Ostrow, A., Ananthram, A., et al. (2026) · arXiv

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AI-based Clinical Decision Support for Primary Care: A Real-World Study

Korom, R., Kiptinness, S., Adan, N., Said, K., Ithuli, C., Rotich, O., Kimani, B., King'ori, I., Kamau, S., Atemba, E., et al. (2025) · arXiv

Artificial Intelligence in Healthcare and EducationElectronic Health Records Systems

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