◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Seyed Amir Ahmad Safavi-Naini

Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran

10 papers hereh-index 11324 citations48 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author6
  • last author1

Across the 9 of 10 papers where every author was matched, so the position is known.

fields
  • eess.IV3
  • cs.AI2
  • cs.CL2
  • cs.CV1
  • cs.CY1
  • cs.LG1
affiliations
  • Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
Homepage

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedVision-Language and Large Language Model Performance in Gastroenterology: GPT, Claude, Llama, Phi, Mistral, Gemma, and Quantized Models

10 citations · 20 across the 9 of their papers we have counts for

collaborators
Showing cs.AIShow all

2 papers · 1 filter

cs.AI2026

Grounding Clinical AI Competency in Human Cognition Through the Clinical World Model and Skill-Mix Framework

Seyed Amir Ahmad Safavi-Naini, Elahe Meftah, Josh Mohess +11

The competency of any intelligent agent is bounded by its formal account of the world in which it operates. Clinical AI lacks such an account. Existing frameworks address evaluatio…

cs.AI2025★ 1 cited

The challenge of uncertainty quantification of large language models in medicine

Zahra Atf, Seyed Amir Ahmad Safavi-Naini, Peter R. Lewis +4

This study investigates uncertainty quantification in large language models (LLMs) for medical applications, emphasizing both technical innovations and philosophical implications.…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.