Julián Nicolás Acosta

According to our database, Julián Nicolás Acosta authored at least 11 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Voice-guided Orchestrated Intelligence for Clinical Evaluation (VOICE): A Voice AI Agent System for Prehospital Stroke Assessment.

Julián Nicolás Acosta, Scott J. Adams, Julius Kernbach, Romain Hardy, Sung Eun Kim, Luyang Luo, Xiaoman Zhang, Shreya Johri, Mohammed Baharoon, Pranav Rajpurkar

CoRR, July, 2025

ReXGradient-160K: A Large-Scale Publicly Available Dataset of Chest Radiographs with Free-text Reports.

Xiaoman Zhang, Julián Nicolás Acosta, Josh Miller, Ouwen Huang, Pranav Rajpurkar

CoRR, May, 2025

How generative AI voice agents will transform medicine.

Scott J. Adams, Julián Nicolás Acosta, Pranav Rajpurkar

npj Digit. Medicine, 2025

Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphs.

Xiaoman Zhang, Julián Nicolás Acosta, Hong-Yu Zhou, Pranav Rajpurkar

Proceedings of the Conference on Health, 2025

HeadCT-ONE: Enabling Granular and Controllable Automated Evaluation of Head CT Radiology Report Generation.

Julián Nicolás Acosta, Xiaoman Zhang, Siddhant Dogra, Hong-Yu Zhou, Seyedmehdi Payabvash, Guido J. Falcone, Eric Karl Oermann, Pranav Rajpurkar

Proceedings of the Conference on Health, 2025

2024

a2z-1 for Multi-Disease Detection in Abdomen-Pelvis CT: External Validation and Performance Analysis Across 21 Conditions.

Pranav Rajpurkar, Julián Nicolás Acosta, Siddhant Dogra, Jaehwan Jeong, Deepanshu Jindal, Michael Moritz, Samir Rajpurkar

CoRR, 2024

The Impact of AI Assistance on Radiology Reporting: A Pilot Study Using Simulated AI Draft Reports.

Julián Nicolás Acosta, Siddhant Dogra, Subathra Adithan, Kay Wu, Michael Moritz, Stephen Kwak, Pranav Rajpurkar

CoRR, 2024

ReXrank: A Public Leaderboard for AI-Powered Radiology Report Generation.

Xiaoman Zhang, Hong-Yu Zhou, Xiaoli Yang, Oishi Banerjee, Julián Nicolás Acosta, Josh Miller, Ouwen Huang, Pranav Rajpurkar

CoRR, 2024

ReXErr: Synthesizing Clinically Meaningful Errors in Diagnostic Radiology Reports.

Vishwanatha M. Rao, Serena Zhang, Julián Nicolás Acosta, Subathra Adithan, Pranav Rajpurkar

CoRR, 2024

A Generalist Learner for Multifaceted Medical Image Interpretation.

Hong-Yu Zhou, Subathra Adithan, Julián Nicolás Acosta, Eric J. Topol, Pranav Rajpurkar

CoRR, 2024

RadFlag: A Black-Box Hallucination Detection Method for Medical Vision Language Models.

Serena Zhang, Sraavya Sambara, Oishi Banerjee, Julián Nicolás Acosta, L. John Fahrner, Pranav Rajpurkar

Proceedings of the Machine Learning for Health, 2024