activity
20222025
most citedKGARevion: An AI Agent for Knowledge-Intensive Biomedical QA

4 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2025

Application of Whisper in Clinical Practice: the Post-Stroke Speech Assessment during a Naming Task

Milena Davudova, Ziyuan Cai, Valentina Giunchiglia +4

Detailed assessment of language impairment following stroke remains a cognitively complex and clinician-intensive task, limiting timely and scalable diagnosis. Automatic Speech Rec…

cs.AI2024★ 4 cited

KGARevion: An AI Agent for Knowledge-Intensive Biomedical QA

Xiaorui Su, Yibo Wang, Shanghua Gao +4

Biomedical reasoning integrates structured, codified knowledge with tacit, experience-driven insights. Depending on the context, quantity, and nature of available evidence, researc…

cs.AI2024★ 4 cited

Empowering Biomedical Discovery with AI Agents

Shanghua Gao, Ada Fang, Yepeng Huang +6

We envision "AI scientists" as systems capable of skeptical learning and reasoning that empower biomedical research through collaborative agents that integrate AI models and biomed…

q-bio.NC2023

Neural correlates of cognitive ability and visuo-motor speed: validation of IDoCT on UK Biobank Data

Valentina Giunchiglia, Sharon Curtis, Stephen Smith +2

Automated online and App-based cognitive assessment tasks are becoming increasingly popular in large-scale cohorts and biobanks due to advantages in affordability, scalability and…

cs.LG2022★ 3 cited

Towards Training GNNs using Explanation Directed Message Passing

Valentina Giunchiglia, Chirag Varun Shukla, Guadalupe Gonzalez +1

With the increasing use of Graph Neural Networks (GNNs) in critical real-world applications, several post hoc explanation methods have been proposed to understand their predictions…