1 citations · 2 across the 7 of their papers we have counts for
9 papers
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…
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…
Kidney function and kidney failure prediction in a large multiethnic population
James A. Diao, Morgan Sanchez, Adir Sommer +7
Background: Patients with chronic kidney disease (CKD) experience worsening kidney function and develop subsequent kidney failure at different rates. Accurate estimates of a patien…
Laboratory Trajectories Improve Kidney Failure Risk Estimation
Morgan Sanchez, James A. Diao, Jesse Cummings +8
Accurate kidney failure risk assessment is critical to timely intervention in chronic kidney disease (CKD). Existing equations (e.g. Kidney Failure Risk Equation; KFRE) rely on sin…
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…
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…
Learning Normal Representations for Blood Biomarkers
Aashna P. Shah, Michelle M. Li, Yash Lal +9
Blood-based biomarkers underpin clinical diagnosis and management, yet their interpretation relies largely on fixed population reference intervals that ignore stable, intra-patient…
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…
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…