most citedOne Patient, Many Contexts: Scaling Medical AI with Contextual Intelligence

1 citations · 2 across the 9 of their papers we have counts for

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cs.AI2026

Decision language models as affordable and rapid alternatives to LLM judges of clinical generative AI

Rotem Gershon, Seffi Cohen, Dean Ariel +11

Automated judges of clinical artificial intelligence (AI) outputs are necessary, but large language model (LLM) judges are costly and slow at scale. We compared Jev, a decision lan…

cs.AI2026

Agentic discovery of blood biomarker from distilled private health records

Seffi Cohen, Liat Antwarg Friedman, Amir Anisman +7

Routine complete blood counts (CBCs) could yield new biomarkers, but the private records needed to evaluate candidates cannot be shared with frontier language model agents that exc…

cs.AI2026

An AI agent for treatment reasoning over a biomedical tool universe

Shanghua Gao, Ayush Noori, Richard Zhu +13

Treatment reasoning underpins every therapeutic decision, integrating disease context, comorbidities, medications, contraindications, and evolving biomedical knowledge to select an…

cs.AI2026

What Does the AI Doctor Value? Auditing Pluralism in the Clinical Ethics of Language Models

Payal Chandak, Victoria Alkin, David Wu +11

Medicine is inherently pluralistic. Principles such as autonomy, beneficence, nonmaleficence, and justice routinely conflict, and such ethical dilemmas often sharply divide reasona…

cs.AI2025★ 1 cited

A global log for medical AI

Ayush Noori, Aaron E. Boussina, Hai Ho Bich +48

Modern computer systems rely on syslog, a universal protocol that records critical events across heterogeneous infrastructure. Medicine's rapidly growing AI stack has no equivalent…

cs.AI2025★ 1 cited

One Patient, Many Contexts: Scaling Medical AI with Contextual Intelligence

Michelle M. Li, Ben Y. Reis, Adam Rodman +6

Medical AI, including clinical language models, vision-language models, and multimodal health record models, already summarizes notes, answers questions, and supports decisions. Th…