Lidia M. V. R. Moura

According to our database, Lidia M. V. R. Moura authored at least 8 papers between 2020 and 2026.

Collaborative distances:

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

2026

An autonomous agentic workflow for clinical detection of cognitive concerns using large language models.

Jiazi Tian, Pedram J. Fard, Cameron Cagan, Neguine Rezaii, Rebeka Bustamante Rocha, Liqin Wang, Valdery Moura Junior, Deborah Blacker, Jennifer S. Haas, Chirag J. Patel, Shawn N. Murphy, Lidia M. V. R. Moura, Hossein Estiri

npj Digit. Medicine, 2026

2025

Evaluating GPT's Capability in Identifying Stages of Cognitive Impairment from Electronic Health Data.

Yu Leng, Yingnan He, Colin G. Magdamo, Ana-Maria Vranceanu, Christine S. Ritchie, Shibani S. Mukerji, Lidia M. V. R. Moura, John R. Dickson, Deborah Blacker, Sudeshna Das

CoRR, February, 2025

An Agentic AI Workflow for Detecting Cognitive Concerns in Real-world Data.

Jiazi Tian, Liqin Wang, Pedram J. Fard, Valdery Moura Junior, Deborah Blacker, Jennifer S. Haas, Chirag J. Patel, Shawn N. Murphy, Lidia M. V. R. Moura, Hossein Estiri

CoRR, February, 2025

A GPT-4o-powered framework for identifying cognitive impairment stages in electronic health records.

Yu Leng, Yingnan He, Samad Amini, Colin G. Magdamo, Ioannis Paschalidis, Shibani S. Mukerji, Lidia M. V. R. Moura, M. Brandon Westover, Ana-Maria Vranceanu, Christine S. Ritchie, Deborah Blacker, John R. Dickson, Sudeshna Das

npj Digit. Medicine, 2025

2024

Corrigendum to "Brain health scores to predict neurological outcomes from electronic health records" [Int. J. Med. Inform. (2023) 105270].

Marta P. B. Fernandes, Haoqi Sun, Zeina Chemali, Shibani S. Mukerji, Lidia M. V. R. Moura, Sahar F. Zafar, Akshata Sonni, Alessandro Biffi, Jonathan Rosand, M. Brandon Westover

Int. J. Medical Informatics, 2024

2023

Brain health scores to predict neurological outcomes from electronic health records.

Marta P. B. Fernandes, Haoqi Sun, Zeina Chemali, Shibani S. Mukerji, Lidia M. V. R. Moura, Sahar F. Zafar, Akshata Sonni, Alessandro Biffi, Jonathan Rosand, M. Brandon Westover

Int. J. Medical Informatics, December, 2023

2021

Using Deep Learning to Identify Patients with Cognitive Impairment in Electronic Health Records.

Tanish Tyagi, Colin G. Magdamo, Ayush Noori, Zhaozhi Li, Xiao Liu, Mayuresh Deodhar, Zhuoqiao Hong, Wendong Ge, Elissa M. Ye, Yi-han Sheu, Haitham Alabsi, Laura Brenner, Gregory K. Robbins, Sahar F. Zafar, Nicole Benson, Lidia M. V. R. Moura, John Hsu, Alberto Serrano-Pozo, Dimitry Prokopenko, Rudolph E. Tanzi, Bradley T. Hyman, Deborah Blacker, Shibani S. Mukerji, M. Brandon Westover, Sudeshna Das

CoRR, 2021

2020

Natural Language Processing to Detect Cognitive Concerns in Electronic Health Records Using Deep Learning.

Zhuoqiao Hong, Colin G. Magdamo, Yi-han Sheu, Prathamesh Mohite, Ayush Noori, Elissa M. Ye, Wendong Ge, Haoqi Sun, Laura Brenner, Gregory K. Robbins, Shibani Mukerji, Sahar F. Zafar, Nicole Benson, Lidia M. V. R. Moura, John Hsu, Bradley T. Hyman, M. Brandon Westover, Deborah Blacker, Sudeshna Das

CoRR, 2020