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Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group.
Sounderajah V, Ashrafian H, Aggarwal R, De Fauw J, Denniston AK, Greaves F, Karthikesalingam A, King D, Liu X, Markar SR, McInnes MDF, Panch T, Pearson-Stuttard J, Ting DSW, Golub RM, Moher D, Bossuyt PM, Darzi A. Sounderajah V, et al. Among authors: karthikesalingam a. Nat Med. 2020 Jun;26(6):807-808. doi: 10.1038/s41591-020-0941-1. Nat Med. 2020. PMID: 32514173 No abstract available.
Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol.
Sounderajah V, Ashrafian H, Golub RM, Shetty S, De Fauw J, Hooft L, Moons K, Collins G, Moher D, Bossuyt PM, Darzi A, Karthikesalingam A, Denniston AK, Mateen BA, Ting D, Treanor D, King D, Greaves F, Godwin J, Pearson-Stuttard J, Harling L, McInnes M, Rifai N, Tomasev N, Normahani P, Whiting P, Aggarwal R, Vollmer S, Markar SR, Panch T, Liu X; STARD-AI Steering Committee. Sounderajah V, et al. Among authors: karthikesalingam a. BMJ Open. 2021 Jun 28;11(6):e047709. doi: 10.1136/bmjopen-2020-047709. BMJ Open. 2021. PMID: 34183345 Free PMC article.
A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI.
Sounderajah V, Ashrafian H, Rose S, Shah NH, Ghassemi M, Golub R, Kahn CE Jr, Esteva A, Karthikesalingam A, Mateen B, Webster D, Milea D, Ting D, Treanor D, Cushnan D, King D, McPherson D, Glocker B, Greaves F, Harling L, Ordish J, Cohen JF, Deeks J, Leeflang M, Diamond M, McInnes MDF, McCradden M, Abràmoff MD, Normahani P, Markar SR, Chang S, Liu X, Mallett S, Shetty S, Denniston A, Collins GS, Moher D, Whiting P, Bossuyt PM, Darzi A. Sounderajah V, et al. Among authors: karthikesalingam a. Nat Med. 2021 Oct;27(10):1663-1665. doi: 10.1038/s41591-021-01517-0. Nat Med. 2021. PMID: 34635854 No abstract available.
Developing Specific Reporting Standards in Artificial Intelligence Centred Research.
Sounderajah V, Ashrafian H, Karthikesalingam A, Markar SR, Normahani P, Collins GS, Bossuyt PM, Darzi A; STARD-AI Study Group. Sounderajah V, et al. Among authors: karthikesalingam a. Ann Surg. 2022 Mar 1;275(3):e547-e548. doi: 10.1097/SLA.0000000000005294. Ann Surg. 2022. PMID: 35120063 No abstract available.
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: karthikesalingam a. Nature. 2020 Jan;577(7788):89-94. doi: 10.1038/s41586-019-1799-6. Epub 2020 Jan 1. Nature. 2020. PMID: 31894144
Addendum: 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: karthikesalingam a. Nature. 2020 Oct;586(7829):E19. doi: 10.1038/s41586-020-2679-9. Nature. 2020. PMID: 33057216 No abstract available.
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: karthikesalingam a. Nat Med. 2018 Sep;24(9):1342-1350. doi: 10.1038/s41591-018-0107-6. Epub 2018 Aug 13. Nat Med. 2018. PMID: 30104768
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: karthikesalingam a. Nat Med. 2020 Jun;26(6):892-899. doi: 10.1038/s41591-020-0867-7. Epub 2020 May 18. Nat Med. 2020. PMID: 32424211
181 results