Ali Soroush

Orcid: 0000-0001-6900-5596

According to our database1, Ali Soroush authored at least 15 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Grounding Clinical AI Competency in Human Cognition Through the Clinical World Model and Skill-Mix Framework.
CoRR, April, 2026

2025
The challenge of uncertainty quantification of large language models in medicine.
CoRR, April, 2025

Vision Language Models versus Machine Learning Models Performance on Polyp Detection and Classification in Colonoscopy Images.
CoRR, March, 2025

Self-Reported Confidence of Large Language Models in Gastroenterology: Analysis of Commercial, Open-Source, and Quantized Models.
CoRR, March, 2025

Benchmarking proprietary and open-source language and vision-language models for gastroenterology clinical reasoning.
npj Digit. Medicine, 2025

Large language model uncertainty proxies: discrimination and calibration for medical diagnosis and treatment.
J. Am. Medical Informatics Assoc., 2025

Evaluating Prompt Engineering Techniques for Accuracy and Confidence Elicitation in Medical LLMs.
Proceedings of the Explainable, Trustworthy, and Responsible AI and Multi-Agent Systems, 2025

2024
Closing the gap between open source and commercial large language models for medical evidence summarization.
npj Digit. Medicine, 2024

Large Language Models versus Classical Machine Learning: Performance in COVID-19 Mortality Prediction Using High-Dimensional Tabular Data.
CoRR, 2024

Vision-Language and Large Language Model Performance in Gastroenterology: GPT, Claude, Llama, Phi, Mistral, Gemma, and Quantized Models.
CoRR, 2024

Generative Large Language Models are autonomous practitioners of evidence-based medicine.
CoRR, 2024

2023
Evaluating large language models on medical evidence summarization.
npj Digit. Medicine, 2023

Large Language Models for Granularized Barrett's Esophagus Diagnosis Classification.
CoRR, 2023

2022
Leveraging electronic health record data for clinical trial planning by assessing eligibility criteria's impact on patient count and safety.
J. Biomed. Informatics, 2022

A Clinical Data Summarization Pipeline for Patients at Risk for Esophageal Adenocarcinoma Undergoing Endoscopic Surveillance.
Proceedings of the AMIA 2022, 2022


  Loading...