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European Heart Journal. Digital Health
|
May 21, 2025
Evaluating large language models in echocardiography reporting: opportunities and challenges
Chieh-Ju Chao, Imon Banerjee, Reza Arsanjani, et al.
Medrxiv : the Preprint Server for Health Sciences
|
March 27, 2026
EchoAtlas: A Conversational, Multi-View Vision-Language Foundation Model for Echocardiography Interpretation and Clinical Reasoning
Chieh-Ju Chao, Mohammad Asadi, Lavonda Li, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|
June 23, 2023
Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media
Yuting Guo, Swati Rajwal, Sahithi Lakamana, et al.
Scientific Reports
|
November 29, 2023
Opportunistic assessment of ischemic heart disease risk using abdominopelvic computed tomography and medical record data: a multimodal explainable artificial intelligence approach
Juan M Zambrano Chaves, Andrew L Wentland, Arjun D Desai, et al.
JACC. Advances
|
January 6, 2025
Multimodal Fusion Artificial Intelligence Model to Predict Risk for MACE and Myocarditis in Cancer Patients Receiving Immune Checkpoint Inhibitor Therapy
Chadi Ayoub, Lalith Appari, Milagros Pereyra, et al.
Journal of the National Cancer Institute
|
October 23, 2018
Automated Survival Prediction in Metastatic Cancer Patients Using High-Dimensional Electronic Medical Record Data
Michael F Gensheimer, A Solomon Henry, Douglas J Wood, et al.
Journal of Digital Imaging
|
February 12, 2022
Automating Scoliosis Measurements in Radiographic Studies with Machine Learning: Comparing Artificial Intelligence and Clinical Reports
Audrey Y Ha, Bao H Do, Adam L Bartret, et al.
Journal of the National Cancer Institute
|
March 26, 2026
Performance of clinical breast cancer risk prediction models versus a mammography-based artificial intelligence risk model
Medha Kaul, Christopher G Scott, Alena Wadzinske, et al.
Radiology. Artificial Intelligence
|
February 1, 2023
The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.4 Million Screening and Diagnostic Mammographic Images
Jiwoong J Jeong, Brianna L Vey, Ananth Bhimireddy, et al.
Clinical Imaging
|
November 19, 2021
Multireader evaluation of radiologist performance for COVID-19 detection on emergency department chest radiographs
Judy W Gichoya, Priyanshu Sinha, Melissa Davis, et al.
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Search research articles
Search
Showing results (131-140 of 161) with videos related to
Sort By:
Page
of 17
European Heart Journal. Digital Health
|
May 21, 2025
Evaluating large language models in echocardiography reporting: opportunities and challenges
Chieh-Ju Chao, Imon Banerjee, Reza Arsanjani, et al.
Medrxiv : the Preprint Server for Health Sciences
|
March 27, 2026
EchoAtlas: A Conversational, Multi-View Vision-Language Foundation Model for Echocardiography Interpretation and Clinical Reasoning
Chieh-Ju Chao, Mohammad Asadi, Lavonda Li, et al.
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|
June 23, 2023
Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media
Yuting Guo, Swati Rajwal, Sahithi Lakamana, et al.
Scientific Reports
|
November 29, 2023
Opportunistic assessment of ischemic heart disease risk using abdominopelvic computed tomography and medical record data: a multimodal explainable artificial intelligence approach
Juan M Zambrano Chaves, Andrew L Wentland, Arjun D Desai, et al.
JACC. Advances
|
January 6, 2025
Multimodal Fusion Artificial Intelligence Model to Predict Risk for MACE and Myocarditis in Cancer Patients Receiving Immune Checkpoint Inhibitor Therapy
Chadi Ayoub, Lalith Appari, Milagros Pereyra, et al.
Journal of the National Cancer Institute
|
October 23, 2018
Automated Survival Prediction in Metastatic Cancer Patients Using High-Dimensional Electronic Medical Record Data
Michael F Gensheimer, A Solomon Henry, Douglas J Wood, et al.
Journal of Digital Imaging
|
February 12, 2022
Automating Scoliosis Measurements in Radiographic Studies with Machine Learning: Comparing Artificial Intelligence and Clinical Reports
Audrey Y Ha, Bao H Do, Adam L Bartret, et al.
Journal of the National Cancer Institute
|
March 26, 2026
Performance of clinical breast cancer risk prediction models versus a mammography-based artificial intelligence risk model
Medha Kaul, Christopher G Scott, Alena Wadzinske, et al.
Radiology. Artificial Intelligence
|
February 1, 2023
The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.4 Million Screening and Diagnostic Mammographic Images
Jiwoong J Jeong, Brianna L Vey, Ananth Bhimireddy, et al.
Clinical Imaging
|
November 19, 2021
Multireader evaluation of radiologist performance for COVID-19 detection on emergency department chest radiographs
Judy W Gichoya, Priyanshu Sinha, Melissa Davis, et al.
Page
of 17