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Your search keyword '"Corrado, Greg"' showing total 10 results
Start Over Author "Corrado, Greg" Journal nature medicine
10 results on '"Corrado, Greg"'

1. A toolbox for surfacing health equity harms and biases in large language models

Author

Pfohl, Stephen R., Cole-Lewis, Heather, Sayres, Rory, Neal, Darlene, Asiedu, Mercy, Dieng, Awa, Tomasev, Nenad, Rashid, Qazi Mamunur, Azizi, Shekoofeh, Rostamzadeh, Negar, McCoy, Liam G., Celi, Leo Anthony, Liu, Yun, Schaekermann, Mike, Walton, Alanna, Parrish, Alicia, Nagpal, Chirag, Singh, Preeti, Dewitt, Akeiylah, Mansfield, Philip, Prakash, Sushant, Heller, Katherine, Karthikesalingam, Alan, Semturs, Christopher, Barral, Joelle, Corrado, Greg, Matias, Yossi, Smith-Loud, Jamila, Horn, Ivor, and Singhal, Karan

Published
2024
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2. Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians

Author

Dvijotham, Krishnamurthy (Dj), Winkens, Jim, Barsbey, Melih, Ghaisas, Sumedh, Stanforth, Robert, Pawlowski, Nick, Strachan, Patricia, Ahmed, Zahra, Azizi, Shekoofeh, Bachrach, Yoram, Culp, Laura, Daswani, Mayank, Freyberg, Jan, Kelly, Christopher, Kiraly, Atilla, Kohlberger, Timo, McKinney, Scott, Mustafa, Basil, Natarajan, Vivek, Geras, Krzysztof, Witowski, Jan, Qin, Zhi Zhen, Creswell, Jacob, Shetty, Shravya, Sieniek, Marcin, Spitz, Terry, Corrado, Greg, Kohli, Pushmeet, Cemgil, Taylan, and Karthikesalingam, Alan

Published
2023
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3. Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge

Author

Bulten, Wouter, Kartasalo, Kimmo, Chen, Po-Hsuan Cameron, Ström, Peter, Pinckaers, Hans, Nagpal, Kunal, Cai, Yuannan, Steiner, David F, van Boven, Hester, Vink, Robert, Hulsbergen-van de Kaa, Christina, van der Laak, Jeroen, Amin, Mahul B, Evans, Andrew J, van der Kwast, Theodorus, Allan, Robert, Humphrey, Peter A, Grönberg, Henrik, Samaratunga, Hemamali, Delahunt, Brett, Tsuzuki, Toyonori, Häkkinen, Tomi, Egevad, Lars, Demkin, Maggie, Dane, Sohier, Tan, Fraser, Valkonen, Masi, Corrado, Greg S, Peng, Lily, Mermel, Craig H, Ruusuvuori, Pekka, Litjens, Geert, and Eklund, Martin

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Oncology and Carcinogenesis, Cancer, Urologic Diseases, Prostate Cancer, Algorithms, Biopsy, Cohort Studies, Humans, Male, Neoplasm Grading, Prostatic Neoplasms, Reproducibility of Results, PANDA challenge consortium, Medical and Health Sciences, Immunology, Biomedical and clinical sciences, Health sciences
Abstract

Artificial intelligence (AI) has shown promise for diagnosing prostate cancer in biopsies. However, results have been limited to individual studies, lacking validation in multinational settings. Competitions have been shown to be accelerators for medical imaging innovations, but their impact is hindered by lack of reproducibility and independent validation. With this in mind, we organized the PANDA challenge-the largest histopathology competition to date, joined by 1,290 developers-to catalyze development of reproducible AI algorithms for Gleason grading using 10,616 digitized prostate biopsies. We validated that a diverse set of submitted algorithms reached pathologist-level performance on independent cross-continental cohorts, fully blinded to the algorithm developers. On United States and European external validation sets, the algorithms achieved agreements of 0.862 (quadratically weighted κ, 95% confidence interval (CI), 0.840-0.884) and 0.868 (95% CI, 0.835-0.900) with expert uropathologists. Successful generalization across different patient populations, laboratories and reference standards, achieved by a variety of algorithmic approaches, warrants evaluating AI-based Gleason grading in prospective clinical trials.

Published
2022

5. A deep learning system for differential diagnosis of skin diseases

Author

Liu, Yuan, Jain, Ayush, Eng, Clara, Way, David H., Lee, Kang, Bui, Peggy, Kanada, Kimberly, de Oliveira Marinho, Guilherme, Gallegos, Jessica, Gabriele, Sara, Gupta, Vishakha, Singh, Nalini, Natarajan, Vivek, Hofmann-Wellenhof, Rainer, Corrado, Greg S., Peng, Lily H., Webster, Dale R., Ai, Dennis, Huang, Susan J., Liu, Yun, Dunn, R. Carter, and Coz, David

Published
2020
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10. Lessons learned from translating AI from development to deployment in healthcare

Author

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

Abstract

The application of an artificial intelligence (AI)-based screening tool for retinal disease in India and Thailand highlighted the myths and reality of introducing medical AI, which may form a framework for subsequent tools

Published
2024
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