| A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis X Liu, L Faes, AU Kale, SK Wagner, DJ Fu, A Bruynseels, T Mahendiran, ... The lancet digital health 1 (6), e271-e297, 2019 | 1476 | 2019 |
| Optical coherence tomography (OCT) in unconscious and systemically unwell patients using a mobile OCT device: a pilot study X Liu, AU Kale, N Capewell, N Talbot, S Ahmed, PA Keane, S Mollan, ... BMJ open 9 (11), e030882, 2019 | 27 | 2019 |
| Students' participation in collaborative research should be recognised S Collaborative International Journal of Surgery 39, 234-237, 2017 | 21 | 2017 |
| Instrument-based tests for measuring anterior chamber cells in uveitis: a systematic review X Liu, AL Solebo, L Faes, S Beese, T Braithwaite, ME Round, ... Ocular immunology and inflammation 28 (6), 898-907, 2020 | 18 | 2020 |
| Current status and practical considerations of artificial intelligence use in screening and diagnosing retinal diseases: Vision Academy retinal expert consensus YB Chou, AU Kale, P Lanzetta, T Aslam, J Barratt, C Danese, B Eldem, ... Current opinion in ophthalmology 34 (5), 403-413, 2023 | 12 | 2023 |
| Deep learning under scrutiny: performance against health care professionals in detecting diseases from medical imaging-systematic review and meta-Analysis L Faes, X Liu, A Kale, A Bruynseels, M Shamdas, G Moraes, DJ Fu, ... | 12 | 2019 |
| OCT assisted quantification of vitreous inflammation in uveitis X Liu, AU Kale, G Ometto, G Montesano, AJ Sitch, N Capewell, ... Translational vision science & technology 11 (1), 3-3, 2022 | 7 | 2022 |
| A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis (vol 1, pg e271, 2019) X Liu, L Faes, AU Kale LANCET DIGITAL HEALTH 1 (7), E334-E334, 2019 | 7 | 2019 |
| The impact of artificial intelligence on retinal disease management: Vision Academy retinal expert consensus C Danese, AU Kale, T Aslam, P Lanzetta, J Barratt, YB Chou, B Eldem, ... Current opinion in ophthalmology 34 (5), 396-402, 2023 | 6 | 2023 |
| New Horizons in artificial intelligence in the healthcare of older people T Shiwani, S Relton, R Evans, A Kale, A Heaven, A Clegg, O Todd Age and Ageing 52 (12), afad219, 2023 | 5 | 2023 |
| Stability of OCT and OCTA in the intensive therapy unit setting EF Courtie, AU Kale, BTK Hui, X Liu, NI Capewell, JRB Bishop, ... Diagnostics 11 (8), 1516, 2021 | 5 | 2021 |
| Building trust in real-world data: lessons from INSIGHT, the UK's health data research hub for eye health and oculomics AK Denniston, AU Kale, WH Lee, SP Mollan, PA Keane Current Opinion in Ophthalmology 33 (5), 399-406, 2022 | 4 | 2022 |
| Reliability of Optical Coherence Tomography Angiography Retinal Blood Flow Analyses EF Courtie, A Gilani, N Capewell, AU Kale, BTK Hui, X Liu, G Montesano, ... Translational Vision Science & Technology 12 (7), 3-3, 2023 | 3 | 2023 |
| Concordance of randomised controlled trials for artificial intelligence interventions with the CONSORT-AI reporting guidelines APL Martindale, B Ng, V Ngai, AU Kale, L Ferrante di Ruffano, RM Golub, ... Nature Communications 15 (1), 1619, 2024 | 2 | 2024 |
| Measuring inflammation in the vitreous and retina: a narrative review AU Kale, A Serrano, X Liu, B Balasubramaniam, PA Keane, DJ Moore, ... Ocular immunology and inflammation 31 (4), 768-777, 2023 | 2 | 2023 |
| Sudden onset peripheral visual deficit secondary to retinal artery spasm in Raynaud’s phenomenon Y Ansari, AU Kale, MO Tallouzi, A Manna BMJ Case Reports CP 14 (2), e239954, 2021 | 2 | 2021 |
| A Datasheet for the INSIGHT Birmingham, Solihull, and Black Country Diabetic Retinopathy Screening Dataset AU Kale, A Mills, E Guggenheim, D Gee, S Bodza, A Anumakonda, ... Ophthalmology Science 3 (3), 100293, 2023 | 1 | 2023 |
| Skeletonization reduces the reliability of OCTA retinal blood flow analyses. E Courtie, A Kale, N Capewell, X Liu, A Gilani, G Montesano, M Teussink, ... Investigative Ophthalmology & Visual Science 63 (7), 2953–F0106-2953–F0106, 2022 | 1 | 2022 |
| Detecting Algorithmic Errors and Patient Harms for AI-Enabled Medical Devices in Randomized Controlled Trials: Protocol for a Systematic Review AU Kale, HDJ Hogg, R Pearson, B Glocker, S Golder, A Coombe, ... JMIR Research Protocols 13 (1), e51614, 2024 | | 2024 |
| AI as a Medical Device for Ophthalmic Imaging in Europe, Australia, and the United States: Protocol for a Systematic Scoping Review of Regulated Devices AY Ong, HDJ Hogg, AU Kale, P Taribagil, A Kras, E Dow, T Macdonald, ... JMIR Research Protocols 13 (1), e52602, 2024 | | 2024 |
Alastair DennistonConsultant Ophthalmologist/Hon Professor, University Hospitals Birmingham/University of Birmingham在 bham.ac.uk 的电子邮件经过验证
