Artikkelit, joihin on yleisen käytön mandaatti - Pranav RajpurkarLisätietoja
Saatavilla jossain: 26
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
AY Hannun, P Rajpurkar, M Haghpanahi, GH Tison, C Bourn, ...
Nature medicine 25 (1), 65-69, 2019
Mandaatit: US National Institutes of Health
AI in health and medicine
P Rajpurkar, E Chen, O Banerjee, EJ Topol
Nature Medicine 28 (1), 31-38, 2022
Mandaatit: US National Institutes of Health
Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists
P Rajpurkar, J Irvin, RL Ball, K Zhu, B Yang, H Mehta, T Duan, D Ding, ...
PLOS Medicine 15 (11), e1002686, 2018
Mandaatit: US National Institutes of Health
Foundation models for generalist medical artificial intelligence
M Moor, O Banerjee, ZSH Abad, HM Krumholz, J Leskovec, EJ Topol, ...
Nature 616 (7956), 259-265, 2023
Mandaatit: US National Science Foundation, US Department of Defense, US National …
Multimodal biomedical AI
JN Acosta, GJ Falcone, P Rajpurkar, EJ Topol
Nature Medicine 28 (9), 1773-1784, 2022
Mandaatit: US National Institutes of Health
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet
N Bien, P Rajpurkar, RL Ball, J Irvin, A Park, E Jones, M Bereket, BN Patel, ...
PLOS Medicine 15 (11), e1002699, 2018
Mandaatit: US National Institutes of Health
Self-supervised learning in medicine and healthcare
R Krishnan, P Rajpurkar, EJ Topol
Nature Biomedical Engineering 6 (12), 1346-1352, 2022
Mandaatit: US National Institutes of Health
Expert-level detection of pathologies from unannotated chest X-ray images via self-supervised learning
E Tiu, E Talius, P Patel, CP Langlotz, AY Ng, P Rajpurkar
Nature Biomedical Engineering 6 (12), 1399-1406, 2022
Mandaatit: US National Institutes of Health
Deep Learning–Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model
A Park, C Chute, P Rajpurkar, J Lou, RL Ball, K Shpanskaya, ...
JAMA Network Open 2 (6), e195600-e195600, 2019
Mandaatit: US National Institutes of Health
Human–machine partnership with artificial intelligence for chest radiograph diagnosis
BN Patel, L Rosenberg, G Willcox, D Baltaxe, M Lyons, J Irvin, ...
NPJ digital medicine 2 (1), 111, 2019
Mandaatit: US National Science Foundation
PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging
SC Huang, T Kothari, I Banerjee, C Chute, RL Ball, N Borus, A Huang, ...
NPJ digital medicine 3 (1), 61, 2020
Mandaatit: US National Institutes of Health
Automated coronary calcium scoring using deep learning with multicenter external validation
D Eng, C Chute, N Khandwala, P Rajpurkar, J Long, S Shleifer, ...
NPJ digital medicine 4 (1), 88, 2021
Mandaatit: US National Institutes of Health
Evaluating progress in automatic chest x-ray radiology report generation
F Yu, M Endo, R Krishnan, I Pan, A Tsai, EP Reis, EKUN Fonseca, ...
Patterns 4 (9), 2023
Mandaatit: US National Institutes of Health
AppendiXNet: deep learning for diagnosis of appendicitis from a small dataset of CT exams using video pretraining
P Rajpurkar, A Park, J Irvin, C Chute, M Bereket, D Mastrodicasa, ...
Scientific reports 10 (1), 3958, 2020
Mandaatit: US National Institutes of Health
Automated abnormality detection in lower extremity radiographs using deep learning
M Varma, M Lu, R Gardner, J Dunnmon, N Khandwala, P Rajpurkar, ...
Nature Machine Intelligence 1 (12), 578-583, 2019
Mandaatit: US National Institutes of Health
Clinical Value of Predicting Individual Treatment Effects for Intensive Blood Pressure Therapy: A Machine Learning Experiment to Estimate Treatment Effects from Randomized …
T Duan, P Rajpurkar, D Laird, AY Ng, S Basu
Circulation: Cardiovascular Quality and Outcomes 12 (3), e005010, 2019
Mandaatit: US National Institutes of Health
Augur: Mining Human Behaviors from Fiction to Power Interactive Systems
E Fast, W McGrath, P Rajpurkar, MS Bernstein
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems …, 2016
Mandaatit: US National Science Foundation
Nasopharyngeal metabolomics and machine learning approach for the diagnosis of influenza
CA Hogan, P Rajpurkar, H Sowrirajan, NA Phillips, AT Le, M Wu, ...
EBioMedicine 71, 2021
Mandaatit: US National Institutes of Health
The need for medical artificial intelligence that incorporates prior images
JN Acosta, GJ Falcone, P Rajpurkar
Radiology 304 (2), 283-288, 2022
Mandaatit: American Heart Association
Randomized Controlled Trials Evaluating AI in Clinical Practice: A Scoping Evaluation
R Han, JN Acosta, Z Shakeri, J Ioannidis, E Topol, P Rajpurkar
medRxiv, 2023.09. 12.23295381, 2023
Mandaatit: US National Institutes of Health
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