Deep learning of electrocardiograms in sinus rhythm from US veterans to predict atrial fibrillation
N Yuan, G Duffy, SS Dhruva, A Oesterle… - JAMA …, 2023 - jamanetwork.com
Importance Early detection of atrial fibrillation (AF) may help prevent adverse cardiovascular
events such as stroke. Deep learning applied to electrocardiograms (ECGs) has been …
events such as stroke. Deep learning applied to electrocardiograms (ECGs) has been …
An ECG-based artificial intelligence model for assessment of sudden cardiac death risk
L Holmstrom, H Chugh, K Nakamura, Z Bhanji… - Communications …, 2024 - nature.com
Background Conventional ECG-based algorithms could contribute to sudden cardiac death
(SCD) risk stratification but demonstrate moderate predictive capabilities. Deep learning …
(SCD) risk stratification but demonstrate moderate predictive capabilities. Deep learning …
Detecting chronic kidney disease by electrocardiography
JP Kooman - Communications medicine, 2023 - nature.com
Although chronic kidney disease (CKD) can be detected by relatively simple blood and urine
tests, it remains underdiagnosed even in patients at high risk for the disease. Deep learning …
tests, it remains underdiagnosed even in patients at high risk for the disease. Deep learning …
Using Deep learning to Predict Cardiovascular Magnetic Resonance Findings from Echocardiography Videos
Background Echocardiography is the most common modality for assessing cardiac structure
and function. While cardiac magnetic resonance (CMR) imaging is less accessible, CMR …
and function. While cardiac magnetic resonance (CMR) imaging is less accessible, CMR …
[PDF][PDF] Artificial Intelligence: Implications for Clinical Practice, Research, and Education
W Hersh - 2024 - dmice.ohsu.edu
AMA: Physicians enthusiastic but cautious about health care AI [WWW Document], 2023..
American Medical Association. URL https://www. ama-assn. org/press-center/pressreleases …
American Medical Association. URL https://www. ama-assn. org/press-center/pressreleases …
[PDF][PDF] Artificial Intelligence: Implications for Informatics Education
W Hersh - 2023 - dmice.ohsu.edu
Hersh, W., Pentecost, J., Hickam, D., 1996. A task-oriented approach to information retrieval
evaluation. Journal of the American Society for Information Science 47, 50–56. https://doi …
evaluation. Journal of the American Society for Information Science 47, 50–56. https://doi …
[PDF][PDF] Artificial Intelligence: Promise and Peril
W Hersh - 2024 - dmice.ohsu.edu
Omiye, JA, Lester, JC, Spichak, S., Rotemberg, V., Daneshjou, R., 2023. Large language
models propagate race-based medicine. npj Digit. Med. 6, 1–4. https://doi …
models propagate race-based medicine. npj Digit. Med. 6, 1–4. https://doi …
[PDF][PDF] ChatGPT and Other AI Tools for Medicine and Medical Education
W Hersh - 2023 - dmice.ohsu.edu
Roberts, G., 2022. AI Training Datasets: the Books1+ Books2 that Big AI eats for breakfast-
Musings of Freedom. Musings of Freedom. URL https://gregoreite. com/drilling-downdetails …
Musings of Freedom. Musings of Freedom. URL https://gregoreite. com/drilling-downdetails …
[PDF][PDF] Artificial Intelligence: Implications for Health Professions Education
W Hersh - 2024 - dmice.ohsu.edu
AMA: Physicians enthusiastic but cautious about health care AI [WWW Document], 2023..
American Medical Association. URL https://www. ama-assn. org/press-center/pressreleases …
American Medical Association. URL https://www. ama-assn. org/press-center/pressreleases …
AI-Enabled Fusion of Electrocardiograph and Demographics for Prediction of Acute Kidney Injury Onset
V Damodaran, J Sanchez, T Gupta, P Bikkina… - Authorea …, 2024 - techrxiv.org
Acute kidney injury (AKI) is a commonly encountered medical problem that is associated
with poor health outcomes in AKI survivors, including increased mortality and re-admission …
with poor health outcomes in AKI survivors, including increased mortality and re-admission …