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Page 1
Predicting conversion to wet age-related macular degeneration using deep learning.
Yim J, Chopra R, Spitz T, Winkens J, Obika A, Kelly C, Askham H, Lukic M, Huemer J, Fasler K, Moraes G, Meyer C, Wilson M, Dixon J, Hughes C, Rees G, Khaw PT, Karthikesalingam A, King D, Hassabis D, Suleyman M, Back T, Ledsam JR, Keane PA, De Fauw J. Yim J, et al. Among authors: ledsam jr. Nat Med. 2020 Jun;26(6):892-899. doi: 10.1038/s41591-020-0867-7. Epub 2020 May 18. Nat Med. 2020. PMID: 32424211
Clinically applicable deep learning for diagnosis and referral in retinal disease.
De Fauw J, Ledsam JR, Romera-Paredes B, Nikolov S, Tomasev N, Blackwell S, Askham H, Glorot X, O'Donoghue B, Visentin D, van den Driessche G, Lakshminarayanan B, Meyer C, Mackinder F, Bouton S, Ayoub K, Chopra R, King D, Karthikesalingam A, Hughes CO, Raine R, Hughes J, Sim DA, Egan C, Tufail A, Montgomery H, Hassabis D, Rees G, Back T, Khaw PT, Suleyman M, Cornebise J, Keane PA, Ronneberger O. De Fauw J, et al. Among authors: ledsam jr. Nat Med. 2018 Sep;24(9):1342-1350. doi: 10.1038/s41591-018-0107-6. Epub 2018 Aug 13. Nat Med. 2018. PMID: 30104768
International evaluation of an AI system for breast cancer screening.
McKinney SM, Sieniek M, Godbole V, Godwin J, Antropova N, Ashrafian H, Back T, Chesus M, Corrado GS, Darzi A, Etemadi M, Garcia-Vicente F, Gilbert FJ, Halling-Brown M, Hassabis D, Jansen S, Karthikesalingam A, Kelly CJ, King D, Ledsam JR, Melnick D, Mostofi H, Peng L, Reicher JJ, Romera-Paredes B, Sidebottom R, Suleyman M, Tse D, Young KC, De Fauw J, Shetty S. McKinney SM, et al. Among authors: ledsam jr. Nature. 2020 Jan;577(7788):89-94. doi: 10.1038/s41586-019-1799-6. Epub 2020 Jan 1. Nature. 2020. PMID: 31894144
A clinically applicable approach to continuous prediction of future acute kidney injury.
Tomašev N, Glorot X, Rae JW, Zielinski M, Askham H, Saraiva A, Mottram A, Meyer C, Ravuri S, Protsyuk I, Connell A, Hughes CO, Karthikesalingam A, Cornebise J, Montgomery H, Rees G, Laing C, Baker CR, Peterson K, Reeves R, Hassabis D, King D, Suleyman M, Back T, Nielson C, Ledsam JR, Mohamed S. Tomašev N, et al. Among authors: ledsam jr. Nature. 2019 Aug;572(7767):116-119. doi: 10.1038/s41586-019-1390-1. Epub 2019 Jul 31. Nature. 2019. PMID: 31367026 Free PMC article.
Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning.
Varadarajan AV, Bavishi P, Ruamviboonsuk P, Chotcomwongse P, Venugopalan S, Narayanaswamy A, Cuadros J, Kanai K, Bresnick G, Tadarati M, Silpa-Archa S, Limwattanayingyong J, Nganthavee V, Ledsam JR, Keane PA, Corrado GS, Peng L, Webster DR. Varadarajan AV, et al. Among authors: ledsam jr. Nat Commun. 2020 Jan 8;11(1):130. doi: 10.1038/s41467-019-13922-8. Nat Commun. 2020. PMID: 31913272 Free PMC article. Clinical Trial.
Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health records.
Tomašev N, Harris N, Baur S, Mottram A, Glorot X, Rae JW, Zielinski M, Askham H, Saraiva A, Magliulo V, Meyer C, Ravuri S, Protsyuk I, Connell A, Hughes CO, Karthikesalingam A, Cornebise J, Montgomery H, Rees G, Laing C, Baker CR, Osborne TF, Reeves R, Hassabis D, King D, Suleyman M, Back T, Nielson C, Seneviratne MG, Ledsam JR, Mohamed S. Tomašev N, et al. Among authors: ledsam jr. Nat Protoc. 2021 Jun;16(6):2765-2787. doi: 10.1038/s41596-021-00513-5. Epub 2021 May 5. Nat Protoc. 2021. PMID: 33953393
Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study.
Nikolov S, Blackwell S, Zverovitch A, Mendes R, Livne M, De Fauw J, Patel Y, Meyer C, Askham H, Romera-Paredes B, Kelly C, Karthikesalingam A, Chu C, Carnell D, Boon C, D'Souza D, Moinuddin SA, Garie B, McQuinlan Y, Ireland S, Hampton K, Fuller K, Montgomery H, Rees G, Suleyman M, Back T, Hughes CO, Ledsam JR, Ronneberger O. Nikolov S, et al. Among authors: ledsam jr. J Med Internet Res. 2021 Jul 12;23(7):e26151. doi: 10.2196/26151. J Med Internet Res. 2021. PMID: 34255661 Free PMC article.
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis.
Liu X, Faes L, Kale AU, Wagner SK, Fu DJ, Bruynseels A, Mahendiran T, Moraes G, Shamdas M, Kern C, Ledsam JR, Schmid MK, Balaskas K, Topol EJ, Bachmann LM, Keane PA, Denniston AK. Liu X, et al. Among authors: ledsam jr. Lancet Digit Health. 2019 Oct;1(6):e271-e297. doi: 10.1016/S2589-7500(19)30123-2. Epub 2019 Sep 25. Lancet Digit Health. 2019. PMID: 33323251 Free article.
Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study.
Faes L, Wagner SK, Fu DJ, Liu X, Korot E, Ledsam JR, Back T, Chopra R, Pontikos N, Kern C, Moraes G, Schmid MK, Sim D, Balaskas K, Bachmann LM, Denniston AK, Keane PA. Faes L, et al. Among authors: ledsam jr. Lancet Digit Health. 2019 Sep;1(5):e232-e242. doi: 10.1016/S2589-7500(19)30108-6. Epub 2019 Sep 5. Lancet Digit Health. 2019. PMID: 33323271 Free article.
Deep Learning for Predicting Refractive Error From Retinal Fundus Images.
Varadarajan AV, Poplin R, Blumer K, Angermueller C, Ledsam J, Chopra R, Keane PA, Corrado GS, Peng L, Webster DR. Varadarajan AV, et al. Invest Ophthalmol Vis Sci. 2018 Jun 1;59(7):2861-2868. doi: 10.1167/iovs.18-23887. Invest Ophthalmol Vis Sci. 2018. PMID: 30025129
23 results