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Page 1
Implementation of a Digitally Enabled Care Pathway (Part 2): Qualitative Analysis of Experiences of Health Care Professionals.
Connell A, Black G, Montgomery H, Martin P, Nightingale C, King D, Karthikesalingam A, Hughes C, Back T, Ayoub K, Suleyman M, Jones G, Cross J, Stanley S, Emerson M, Merrick C, Rees G, Laing C, Raine R. Connell A, et al. Among authors: back t. J Med Internet Res. 2019 Jul 15;21(7):e13143. doi: 10.2196/13143. J Med Internet Res. 2019. PMID: 31368443 Free PMC article.
Service evaluation of the implementation of a digitally-enabled care pathway for the recognition and management of acute kidney injury.
Connell A, Montgomery H, Morris S, Nightingale C, Stanley S, Emerson M, Jones G, Sadeghi-Alavijeh O, Merrick C, King D, Karthikesalingam A, Hughes C, Ledsam J, Back T, Rees G, Raine R, Laing C. Connell A, et al. Among authors: back t. F1000Res. 2017 Jun 30;6:1033. doi: 10.12688/f1000research.11637.2. eCollection 2017. F1000Res. 2017. PMID: 28751970 Free PMC article.
Implementation of a Digitally Enabled Care Pathway (Part 1): Impact on Clinical Outcomes and Associated Health Care Costs.
Connell A, Raine R, Martin P, Barbosa EC, Morris S, Nightingale C, Sadeghi-Alavijeh O, King D, Karthikesalingam A, Hughes C, Back T, Ayoub K, Suleyman M, Jones G, Cross J, Stanley S, Emerson M, Merrick C, Rees G, Montgomery H, Laing C. Connell A, et al. Among authors: back t. J Med Internet Res. 2019 Jul 15;21(7):e13147. doi: 10.2196/13147. J Med Internet Res. 2019. PMID: 31368447 Free PMC article.
Evaluation of a digitally-enabled care pathway for acute kidney injury management in hospital emergency admissions.
Connell A, Montgomery H, Martin P, Nightingale C, Sadeghi-Alavijeh O, King D, Karthikesalingam A, Hughes C, Back T, Ayoub K, Suleyman M, Jones G, Cross J, Stanley S, Emerson M, Merrick C, Rees G, Laing C, Raine R. Connell A, et al. Among authors: back t. NPJ Digit Med. 2019 Jul 31;2:67. doi: 10.1038/s41746-019-0100-6. eCollection 2019. NPJ Digit Med. 2019. PMID: 31396561 Free PMC article.
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: back t. J Med Internet Res. 2021 Jul 12;23(7):e26151. doi: 10.2196/26151. J Med Internet Res. 2021. PMID: 34255661 Free PMC article.
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: back t. Nat Protoc. 2021 Jun;16(6):2765-2787. doi: 10.1038/s41596-021-00513-5. Epub 2021 May 5. Nat Protoc. 2021. PMID: 33953393
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: back t. 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.
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: back t. Nat Med. 2018 Sep;24(9):1342-1350. doi: 10.1038/s41591-018-0107-6. Epub 2018 Aug 13. Nat Med. 2018. PMID: 30104768
Automated analysis of retinal imaging using machine learning techniques for computer vision.
De Fauw J, Keane P, Tomasev N, Visentin D, van den Driessche G, Johnson M, Hughes CO, Chu C, Ledsam J, Back T, Peto T, Rees G, Montgomery H, Raine R, Ronneberger O, Cornebise J. De Fauw J, et al. Among authors: back t. F1000Res. 2016 Jul 5;5:1573. doi: 10.12688/f1000research.8996.2. eCollection 2016. F1000Res. 2016. PMID: 27830057 Free PMC article.
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: back t. Nat Med. 2020 Jun;26(6):892-899. doi: 10.1038/s41591-020-0867-7. Epub 2020 May 18. Nat Med. 2020. PMID: 32424211
377 results