| Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning R Poplin, AV Varadarajan, K Blumer, Y Liu, MV McConnell, GS Corrado, ... Nature Biomedical Engineering 2 (3), 158, 2018 | 1573 | 2018 |
| Large language models encode clinical knowledge K Singhal, S Azizi, T Tu, SS Mahdavi, J Wei, HW Chung, N Scales, ... Nature, 2023 | 1194 | 2023 |
| Deep learning-enabled medical computer vision A Esteva, K Chou, S Yeung, N Naik, A Madani, A Mottaghi, Y Liu, E Topol, ... npj Digital Medicine, 2021 | 807 | 2021 |
| Detecting cancer metastases on gigapixel pathology images Y Liu, K Gadepalli, M Norouzi, GE Dahl, T Kohlberger, A Boyko, ... arXiv preprint arXiv:1703.02442, 2017 | 768 | 2017 |
| A deep learning system for differential diagnosis of skin diseases Y Liu, A Jain, C Eng, DH Way, K Lee, P Bui, K Kanada, ... Nature Medicine, 2020 | 556 | 2020 |
| Impact of deep learning assistance on the histopathologic review of lymph nodes for metastatic breast cancer DF Steiner, R MacDonald, Y Liu, P Truszkowski, JD Hipp, C Gammage, ... The American journal of surgical pathology 42 (12), 1636-1646, 2018 | 449 | 2018 |
| Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer K Nagpal, D Foote, Y Liu, PHC Chen, E Wulczyn, F Tan, N Olson, ... NPJ digital medicine 2 (1), 48, 2019 | 441 | 2019 |
| How to read articles that use machine learning: Users’ Guides to the Medical Literature Y Liu, PHC Chen, J Krause, L Peng Jama 322 (18), 1806-1816, 2019 | 412 | 2019 |
| Artificial intelligence–based breast cancer nodal metastasis detection: Insights into the black box for pathologists Y Liu, T Kohlberger, M Norouzi, GE Dahl, JL Smith, A Mohtashamian, ... Archives of pathology & laboratory medicine 143 (7), 859-868, 2019 | 362 | 2019 |
| Towards Expert-Level Medical Question Answering with Large Language Models K Singhal, T Tu, J Gottweis, R Sayres, E Wulczyn, L Hou, K Clark, S Pfohl, ... arXiv preprint arXiv:2305.09617, 2023 | 343 | 2023 |
| An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis PHC Chen, K Gadepalli, R MacDonald, Y Liu, S Kadowaki, K Nagpal, ... Nature Medicine, 2019 | 277* | 2019 |
| How to develop machine learning models for healthcare PHC Chen*, Y Liu*, L Peng Nature Materials 18 (5), 410, 2019 | 268 | 2019 |
| Chest Radiograph Interpretation with Deep Learning Models: Assessment with Radiologist-adjudicated Reference Standards and Population-adjusted Evaluation A Majkowska, S Mittal, DF Steiner, JJ Reicher, SM McKinney, GE Duggan, ... Radiology, 2019 | 261 | 2019 |
| Deep learning-based survival prediction for multiple cancer types using histopathology images E Wulczyn, DF Steiner, Z Xu, A Sadhwani, H Wang, I Flament-Auvigne, ... PLOS ONE, 2020 | 218 | 2020 |
| Detection of anaemia from retinal fundus images via deep learning A Mitani, A Huang, S Venugopalan, GS Corrado, L Peng, DR Webster, ... Nature Biomedical Engineering, 2019 | 178 | 2019 |
| Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs S Phene, RC Dunn, N Hammel, Y Liu, J Krause, N Kitade, ... Ophthalmology 126 (12), 1627-1639, 2019 | 172 | 2019 |
| Predicting the risk of developing diabetic retinopathy using deep learning A Bora, S Balasubramanian, B Babenko, S Virmani, S Venugopalan, ... The Lancet Digital Health, 2020 | 164 | 2020 |
| Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy Specimens K Nagpal, D Foote, F Tan, Y Liu, PHC Chen, DF Steiner, N Manoj, ... JAMA Oncology, 2020 | 153 | 2020 |
| Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging S Azizi, L Culp, J Freyberg, B Mustafa, S Baur, S Kornblith, T Chen, ... Nature Biomedical Engineering, 2023 | 135* | 2023 |
| Similar image search for histopathology: SMILY N Hegde, JD Hipp, Y Liu, ME Buck, E Reif, D Smilkov, M Terry, CJ Cai, ... npj Digital Medicine 2 (1), 56, 2019 | 127 | 2019 |
Greg CorradoGoogle Research在 google.com 的电子邮件经过验证
