Dale R. Webster - Publications, H-index & Citations

Dale R. Webster

google research

32H指数

103论文数

2.1W被引数

收录论文 32

发表时间

Prospective evidence for conversational medical AI is hard, but non-negotiable 对话式医疗人工智能的前瞻性证据获取困难，但不可或缺

Nature Medicine

IF50

2026-09-14

PREAI

Mike Schaekermann; Anil Palepu; Adam Rodman; Ami Parekh; Ethan Goh; Shekoofeh Azizi; Yun Liu; Sunny Virmani; Christina Chen; Dale R. Webster; Joëlle Barral; Avinatan Hassidim; Yossi Matias; Po-Hsuan Cameron Chen

Towards Conversational AI for Disease Management 面向疾病管理的对话式人工智能

Nature

IF48.5

2026-06-17

PREAI

Valentin Liévin; Anil Palepu; Wei-Hung Weng; Khaled Saab; David Stutz; Yong Cheng; Kavita Kulkarni; S. Sara Mahdavi; Joëlle Barral; Dale R. Webster; Katherine Chou; Avinatan Hassidim; Yossi Matias; James Manyika; Ryutaro Tanno; Vivek Natarajan; Adam Rodman; Tao Tu; Alan Karthikesalingam; Mike Schaekermann

Advancing conversational diagnostic AI with multimodal reasoning 通过多模态推理推进会话诊断AI

Nature Medicine

IF50

2026-05-14

OAAI

Khaled Saab; Chunjong Park; Tim Strother; Jan Freyberg; David G. T. Barrett; Yong Cheng; Wei-Hung Weng; David Stutz; Nenad Tomasev; Anil Palepu; Valentin Liévin; Yash Sharma; Roma Ruparel; Abdullah Ahmed; Elahe Vedadi; Kimberly Kanada; Cian Hughes; Yun Liu; Geoff Brown; Yang Gao; Sean Li; S. Sara Mahdavi; James Manyika; Katherine Chou; Yossi Matias; Avinatan Hassidim; Dale R. Webster; Joëlle Barral; S. M. Ali Eslami; Pushmeet Kohli; Adam Rodman; Vivek Natarajan; Mike Schaekermann; Tao Tu; Alan Karthikesalingam; Ryutaro Tanno

A large language model for complex cardiology care 复杂心脏病护理的大型语言模型

Nature Medicine

IF50

2026-02-06

OAAI

Jack W. O’Sullivan; Anil Palepu; Khaled Saab; Wei-Hung Weng; Daniel K. Amponsah; Evaline Cheng; Yong Cheng; Emily Chu; Yaanik Desai; Aly Elezaby; Muhammad Fazal; Tasmeen Hussain; Sneha S. Jain; Daniel Seung Kim; Roy Lan; Jiwen Li; Wilson Tang; Natalie Tapaskar; Victoria Parikh; Ryan Sandoval; Gabriella Spencer-Bonilla; Bryan Wu; Kavita Kulkarni; Philip Mansfield; Dale Webster; Juraj Gottweis; Joelle Barral; Mike Schaekermann; Ryutaro Tanno; S. Sara Mahdavi; Vivek Natarajan; Alan Karthikesalingam; Euan Ashley; Tao Tu

PolyPath: Adapting a Large Multimodal Model for Multi-slide Pathology Report Generation PolyPath: 适应大型多模态模型进行多幻灯片病理报告生成

Modern Pathology

IF5.5

2025-09-10

OAAI

Faruk Ahmed; Lin Yang; Tiam Jaroensri; Andrew Sellergren; Yossi Matias; Avinatan Hassidim; Greg S. Corrado; Dale R. Webster; Shravya Shetty; Shruthi Prabhakara; Yun Liu; Daniel Golden; Ellery Wulczyn; David F. Steiner

Performance of a Deep Learning Diabetic Retinopathy Algorithm in India 印度深度学习糖尿病视网膜病变算法的性能

JAMA NETWORK OPEN

IF9.7

2025-03-19

OAAI

Brant, Arthur; Singh, Preeti; Yin, Xiang; Yang, Lu; Nayar, Jay; Jeji, Divleen; Matias, Yossi; Corrado, Greg S.; Webster, Dale R.; Virmani, Sunny; Meenu, Anchintha; Kannan, Naresh Babu; Krause, Jonathan; Thng, Florence; Peng, Lily; Liu, Yun; Widner, Kasumi; Ramasamy, Kim

Validation of a Deep Learning Model for Diabetic Retinopathy on Patients with Young-Onset Diabetes 糖尿病视网膜病变年轻发病患者深度学习模型的验证

OPHTHALMOLOGY AND THERAPY

IF3.2

2025-03-14

OAAI

Tan-Torres III, Antonio; Praveen, Pradeep A.; Jeji, Divleen; Brant, Arthur; Yin, Xiang; Yang, Lu; Singh, Preeti; Ali, Tayyeba; Traynis, Ilana; Jadeja, Dushyantsinh; Sawhney, Rajroshan; Webster, Dale R.; Hammel, Naama; Liu, Yun; Widner, Kasumi; Virmani, Sunny; Venkatesh, Pradeep; Krause, Jonathan; Tandon, Nikhil

Safety principles for medical summarization using generative AI

NATURE MEDICINE

IF50

2024-10-22

PREAI

Obika, Dillon; Kelly, Christopher; Ding, Nicola; Farrance, Chris; Krause, Jonathan; Mittal, Praney; Cheung, Donny; Cole-Lewis, Heather; Elish, Madeleine; Karthikesalingam, Alan; Webster, Dale; Patel, Bakul; Howell, Michael

Using generative AI to investigate medical imagery models and datasets 使用生成式AI研究医学图像模型和数据集

EBIOMEDICINE

IF10.8

2024-04-01

OAAI

Lang, Oran; Yaya-Stupp, Doron; Traynis, Ilana; Cole-Lewis, Heather; Bennett, Chloe R.; Lyles, Courtney R.; Lau, Charles; Irani, Michal; Semturs, Christopher; Webster, Dale R.; Corrado, Greg S.; Hassidim, Avinatan; Matias, Yossi; Liu, Yun; Hammel, Naama; Babenko, Boris

Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging 用于诊断成像的自监督机器学习的鲁棒且数据高效的泛化

NATURE BIOMEDICAL ENGINEERING

IF26.6

2023-06-08

PREAI

Azizi, Shekoofeh; Culp, Laura; Freyberg, Jan; Mustafa, Basil; Baur, Sebastien; Kornblith, Simon; Chen, Ting; Tomasev, Nenad; Mitrovic, Jovana; Strachan, Patricia; Mahdavi, S. Sara; Wulczyn, Ellery; Babenko, Boris; Walker, Megan; Loh, Aaron; Chen, Po-Hsuan Cameron; Liu, Yuan; Bavishi, Pinal; McKinney, Scott Mayer; Winkens, Jim; Roy, Abhijit Guha; Beaver, Zach; Ryan, Fiona; Krogue, Justin; Etemadi, Mozziyar; Telang, Umesh; Liu, Yun; Peng, Lily; Corrado, Greg S.; Webster, Dale R.; Fleet, David; Hinton, Geoffrey; Houlsby, Neil; Karthikesalingam, Alan; Norouzi, Mohammad; Natarajan, Vivek

Lessons learned from translating AI from development to deployment in healthcare

NATURE MEDICINE

IF50

2023-05-29

PREAI

Widner, Kasumi; Virmani, Sunny; Krause, Jonathan; Nayar, Jay; Tiwari, Richa; Pedersen, Elin Ronby; Jeji, Divleen; Hammel, Naama; Matias, Yossi; Corrado, Greg S.; Liu, Yun; Peng, Lily; Webster, Dale R.

A deep learning model for novel systemic biomarkers in photographs of the external eye: a retrospective study

LANCET DIGITAL HEALTH

IF24.1

2023-05-01

OAAI

Babenko, Boris; Traynis, Ilana; Chen, Christina; Singh, Preeti; Uddin, Akib; Cuadros, Jorge; Daskivich, Lauren P.; Maa, April Y.; Kim, Ramasamy; Kang, Eugene Yu-Chuan; Matias, Yossi; Corrado, Greg S.; Peng, Lily; Webster, Dale R.; Semturs, Christopher; Krause, Jonathan; Varadarajan, Avinash V.; Hammel, Naama; Liu, Yun

Detection of signs of disease in external photographs of the eyes via deep learning

NATURE BIOMEDICAL ENGINEERING

IF26.6

2022-03-29

OAAI

Babenko, Boris; Mitani, Akinori; Traynis, Ilana; Kitade, Naho; Singh, Preeti; Maa, April Y.; Cuadros, Jorge; Corrado, Greg S.; Peng, Lily; Webster, Dale R.; Varadarajan, Avinash; Hammel, Naama; Liu, Yun

A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI 以人工智能为中心的诊断测试准确性研究的质量评估工具: QUADAS-AI

NATURE MEDICINE

IF50

2021-10-11

OAAI

Sounderajah, Viknesh; Ashrafian, Hutan; Rose, Sherri; Shah, Nigam H.; Ghassemi, Marzyeh; Golub, Robert; Kahn, Charles E., Jr.; Esteva, Andre; Karthikesalingam, Alan; Mateen, Bilal; Webster, Dale; Milea, Dan; Ting, Daniel; Treanor, Darren; Cushnan, Dominic; King, Dominic; McPherson, Duncan; Glocker, Ben; Greaves, Felix; Harling, Leanne; Ordish, Johan; Cohen, Jeremie F.; Deeks, Jon; Leeflang, Mariska; Diamond, Matthew; McInnes, Matthew D. F.; McCradden, Melissa; Abramoff, Michael D.; Normahani, Pasha; Markar, Sheraz R.; Chang, Stephanie; Liu, Xiaoxuan; Mallett, Susan; Shetty, Shravya; Denniston, Alastair; Collins, Gary S.; Moher, David; Whiting, Penny; Bossuyt, Patrick M.; Darzi, Ara

Longitudinal Screening for Diabetic Retinopathy in a Nationwide Screening Program: Comparing Deep Learning and Human Graders

JOURNAL OF DIABETES RESEARCH

IF3.4

2020-12-15

OAAI

Limwattanayingyong, Jirawut; Nganthavee, Variya; Seresirikachorn, Kasem; Singalavanija, Tassapol; Soonthornworasiri, Ngamphol; Ruamviboonsuk, Varis; Rao, Chetan; Raman, Rajiv; Grzybowski, Andrzej; Schaekermann, Mike; Peng, Lily H.; Webster, Dale R.; Semturs, Christopher; Krause, Jonathan; Sayres, Rory; Hersch, Fred; Tiwari, Richa; Liu, Yun; Ruamviboonsuk, Paisan

Detection of anaemia from retinal fundus images via deep learning (vol 4, pg 18, 2019)

NATURE BIOMEDICAL ENGINEERING

IF26.6

2020-02-12

OAAI

Mitani, Akinori; Huang, Abigail; Venugopalan, Subhashini; Corrado, Greg S.; Peng, Lily; Webster, Dale R.; Hammel, Naama; Liu, Yun; Varadarajan, Avinash V.

Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning

NATURE COMMUNICATIONS

IF15.7

2020-01-08

OAAI

Varadarajan, Avinash V.; Bavishi, Pinal; Ruamviboonsuk, Paisan; Chotcomwongse, Peranut; Venugopalan, Subhashini; Narayanaswamy, Arunachalam; Cuadros, Jorge; Kanai, Kuniyoshi; Bresnick, George; Tadarati, Mongkol; Silpa-archa, Sukhum; Limwattanayingyong, Jirawut; Nganthavee, Variya; Ledsam, Joseph R.; Keane, Pearse A.; Corrado, Greg S.; Peng, Lily; Webster, Dale R.

Detection of anaemia from retinal fundus images via deep learning 基于深度学习的视网膜眼底图像贫血检测

NATURE BIOMEDICAL ENGINEERING

IF26.6

2019-12-23

121

OAAI

Mitani, Akinori; Huang, Abigail; Venugopalan, Subhashini; Corrado, Greg S.; Peng, Lily; Webster, Dale R.; Hammel, Naama; Liu, Yun; Varadarajan, Avinash V.

Deep Learning and Glaucoma Specialists The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs

OPHTHALMOLOGY

IF9.5

2019-12-01

117

OAAI

Phene, Sonia; Dunn, R. Carter; Hammel, Naama; Liu, Yun; Krause, Jonathan; Kitade, Naho; Schaekermann, Mike; Sayres, Rory; Wu, Derek J.; Bora, Ashish; Semturs, Christopher; Misra, Anita; Huang, Abigail E.; Spitze, Arielle; Medeiros, Felipe A.; Maa, April Y.; Gandhi, Monica; Corrado, Greg S.; Peng, Lily; Webster, Dale R.

Deep learning in ophthalmology: The technical and clinical considerations 眼科的深度学习: 技术和临床考虑

PROGRESS IN RETINAL AND EYE RESEARCH

IF14.7

2019-09-01

333

OAAI

Ting, Daniel S. W.; Peng, Lily; Varadarajan, Avinash V.; Keane, Pearse A.; Burlina, Philippe M.; Chiang, Michael F.; Schmetterer, Leopold; Pasquale, Louis R.; Bressler, Neil M.; Webster, Dale R.; Abramoff, Michael; Wong, Tien Y.

研究方向