Julián Acosta

Harvard University — United States

Medicine · Health Sciences

22h-index2.4kcitations123works15.02yr avg
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Research Topics

Acute Ischemic Stroke Management(24), Intracerebral and Subarachnoid Hemorrhage Research(24), Cardiovascular Health and Risk Factors(17), Radiomics and Machine Learning in Medical Imaging(10), Genetic Associations and Epidemiology(9)

Publications123 total

Hepatitis E virus in immunocompromised children in Argentina: first report from a high-risk group
Virology Journal·2025Open Access
Automated Chest X-ray Report Generation Remains Unsolved
2025Open Access
ED-Explain: Personalized Video Instructions for Patients Discharged from the Emergency Department
2025Open Access
SLAMF1 as a Risk Biomarker for Nontraumatic SAH: Evidence From a Multiomics Study
Stroke·2025Open Access
Characterizing Stroke Clots Using Single‐Cell Sequencing
Journal of the American Heart Association·2025· 2 citedOpen Access
Voice-guided Orchestrated Intelligence for Clinical Evaluation (VOICE): A Voice AI Agent System for Prehospital Stroke Assessment
arXiv (Cornell University)·2025Open Access
How generative AI voice agents will transform medicine
npj Digital Medicine·2025· 8 citedOpen Access
Characterizing Stroke Clots Using Single-Cell Sequencing
2025· 1 citedOpen Access
Automated chest X-ray report generation remains unsolved
Faculty of 1000 Research Ltd·2025Open Access
Genal: a Python toolkit for genetic risk scoring and Mendelian randomization
Bioinformatics Advances·2024· 2 citedOpen Access
a2z-1 for Multi-Disease Detection in Abdomen-Pelvis CT: External Validation and Performance Analysis Across 21 Conditions
arXiv (Cornell University)·2024Open Access
The Impact of AI Assistance on Radiology Reporting: A Pilot Study Using Simulated AI Draft Reports
arXiv (Cornell University)·2024· 3 citedOpen Access
ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation
arXiv (Cornell University)·2024· 1 citedOpen Access
RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Models
arXiv (Cornell University)·2024Open Access
HeadCT-ONE: Enabling Granular and Controllable Automated Evaluation of Head CT Radiology Report Generation
arXiv (Cornell University)·2024Open Access
ReXErr: Synthesizing Clinically Meaningful Errors in Diagnostic Radiology Reports
arXiv (Cornell University)·2024Open Access
Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphs
arXiv (Cornell University)·2024Open Access
MedVersa: A Generalist Foundation Model for Medical Image Interpretation
arXiv (Cornell University)·2024· 11 citedOpen Access
Randomised controlled trials evaluating artificial intelligence in clinical practice: a scoping review
The Lancet Digital Health·2024· 206 citedOpen Access
Secondary Prevention in Patients With Stroke Versus Myocardial Infarction: Analysis of 2 National Cohorts
Journal of the American Heart Association·2024· 8 citedOpen Access
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Frequent Co-authors

Guido J. Falcone(36), Kevin N. Sheth(26), Audrey C. Leasure(18), Lauren Sansing(11), Thomas M. Gill(10), Cameron Both(9), Natalia Szejko(8), Charles Matouk(8), Stacy Brown(7), Seyedmehdi Payabvash(7), Richa Sharma(6), Adam de Havenon(6), Rommell B. Noche(6), Nils Petersen(6), Pranav Rajpurkar(5), Cyprien Rivier(5), Eric J. Topol(4), Daniela Renedo(4), Daniel Woo(4), Murat Günel(4)