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Medrxiv : the Preprint Server for Health Sciences
|
April 2, 2024
Exposing Vulnerabilities in Clinical LLMs Through Data Poisoning Attacks: Case Study in Breast Cancer
Avisha Das, Amara Tariq, Felipe Batalini, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
May 25, 2026
CLEAR-AI: confounder-aware learning for equitable and accurate reasoning in AI for diagnosis
Vedant Joshi, Ramon Correa, Avisha Das, et al.
NPJ Digital Medicine
|
May 9, 2025
Weakly supervised language models for automated extraction of critical findings from radiology reports
Avisha Das, Ish A Talati, Juan Manuel Zambrano Chaves, et al.
AJR. American Journal of Roentgenology
|
September 10, 2025
Out-of-the-Box Large Language Models for Detecting and Classifying Critical Findings in Radiology Reports Using Various Prompt Strategies
Ish A Talati, Juan M Zambrano Chaves, Avisha Das, et al.
Studies in Health Technology and Informatics
|
August 8, 2025
Efficient Training Corpus Retrieval for Large Language Model Fine Tuning: A Case Study in Cancer
Avisha Das, Chiamaka Diala, Guocai Chen, et al.
NAR Genomics and Bioinformatics
|
April 13, 2026
A birth certificate for data to improve findability, accountability, and traceability
Rongbin Li, Avisha Das, Yuntao Yang, et al.
Studies in Health Technology and Informatics
|
January 25, 2024
Extracting Drug-Protein Relation from Literature Using Ensembles of Biomedical Transformers
Avisha Das, Zhao Li, Qiang Wei, et al.
Journal of the American Medical Informatics Association : JAMIA
|
March 23, 2024
Ensemble pretrained language models to extract biomedical knowledge from literature
Zhao Li, Qiang Wei, Liang-Chin Huang, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 8) with videos related to
Sort By:
Page
of 1
Medrxiv : the Preprint Server for Health Sciences
|
April 2, 2024
Exposing Vulnerabilities in Clinical LLMs Through Data Poisoning Attacks: Case Study in Breast Cancer
Avisha Das, Amara Tariq, Felipe Batalini, et al.
Journal of Medical Imaging (Bellingham, Wash.)
|
May 25, 2026
CLEAR-AI: confounder-aware learning for equitable and accurate reasoning in AI for diagnosis
Vedant Joshi, Ramon Correa, Avisha Das, et al.
NPJ Digital Medicine
|
May 9, 2025
Weakly supervised language models for automated extraction of critical findings from radiology reports
Avisha Das, Ish A Talati, Juan Manuel Zambrano Chaves, et al.
AJR. American Journal of Roentgenology
|
September 10, 2025
Out-of-the-Box Large Language Models for Detecting and Classifying Critical Findings in Radiology Reports Using Various Prompt Strategies
Ish A Talati, Juan M Zambrano Chaves, Avisha Das, et al.
Studies in Health Technology and Informatics
|
August 8, 2025
Efficient Training Corpus Retrieval for Large Language Model Fine Tuning: A Case Study in Cancer
Avisha Das, Chiamaka Diala, Guocai Chen, et al.
NAR Genomics and Bioinformatics
|
April 13, 2026
A birth certificate for data to improve findability, accountability, and traceability
Rongbin Li, Avisha Das, Yuntao Yang, et al.
Studies in Health Technology and Informatics
|
January 25, 2024
Extracting Drug-Protein Relation from Literature Using Ensembles of Biomedical Transformers
Avisha Das, Zhao Li, Qiang Wei, et al.
Journal of the American Medical Informatics Association : JAMIA
|
March 23, 2024
Ensemble pretrained language models to extract biomedical knowledge from literature
Zhao Li, Qiang Wei, Liang-Chin Huang, et al.
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of 1