| AI recognition of patient race in medical imaging: a modelling study JW Gichoya, I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, ... The Lancet Digital Health 4 (6), e406-e414, 2022 | 624 | 2022 |
| Ethics of large language models in medicine and medical research H Li, JT Moon, S Purkayastha, LA Celi, H Trivedi, JW Gichoya The Lancet Digital Health 5 (6), e333-e335, 2023 | 333 | 2023 |
| AI pitfalls and what not to do: mitigating bias in AI JW Gichoya, K Thomas, LA Celi, N Safdar, I Banerjee, JD Banja, ... The British Journal of Radiology 96 (1150), 20230023, 2023 | 280 | 2023 |
| Know thy eHealth user: Development of biopsychosocial personas from a study of older adults with heart failure RJ Holden, A Kulanthaivel, S Purkayastha, KM Goggins, S Kripalani International journal of medical informatics 108, 158-167, 2017 | 158 | 2017 |
| “Shortcuts” causing bias in radiology artificial intelligence: causes, evaluation, and mitigation I Banerjee, K Bhattacharjee, JL Burns, H Trivedi, S Purkayastha, ... Journal of the American College of Radiology 20 (9), 842-851, 2023 | 120 | 2023 |
| Reading race: AI recognises patient's racial identity in medical images I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, R Correa, ... arXiv preprint arXiv:2107.10356, 2021 | 94 | 2021 |
| Current clinical applications of artificial intelligence in radiology and their best supporting evidence A Tariq, S Purkayastha, GP Padmanaban, E Krupinski, H Trivedi, ... Journal of the American College of Radiology 17 (11), 1371-1381, 2020 | 77 | 2020 |
| Natural language processing of MIMIC-III clinical notes for identifying diagnosis and procedures with neural networks S Nuthakki, S Neela, JW Gichoya, S Purkayastha arXiv preprint arXiv:1912.12397, 2019 | 68 | 2019 |
| eHBB: a randomised controlled trial of virtual reality or video for neonatal resuscitation refresher training in healthcare workers in resource-scarce settings R Umoren, S Bucher, DS Hippe, BN Ezenwa, IB Fajolu, FM Okwako, ... BMJ open 11 (8), e048506, 2021 | 64 | 2021 |
| Blood glucose level prediction as time-series modeling using sequence-to-sequence neural networks A Bhimireddy, P Sinha, B Oluwalade, JW Gichoya, S Purkayastha CEUR Workshop Proceedings, 2020 | 55 | 2020 |
| Human Activity Recognition using Deep Learning Models on Smartphones and Smartwatches Sensor Data B Oluwalade, S Neela, J Wawira, T Adejumo, S Purkayastha Proceedings of the 14th International Joint Conference on Biomedical …, 2021 | 52 | 2021 |
| Comparison of open-source electronic health record systems based on functional and user performance criteria S Purkayastha, R Allam, P Maity, JW Gichoya Healthcare informatics research 25 (2), 89-98, 2019 | 52 | 2019 |
| Digital health innovations, tools, and resources to support helping babies survive programs SL Bucher, P Cardellichio, N Muinga, JK Patterson, A Thukral, AK Deorari, ... Pediatrics 146 (Supplement_2), S165-S182, 2020 | 41 | 2020 |
| Synthetically enhanced: unveiling synthetic data's potential in medical imaging research B Khosravi, F Li, T Dapamede, P Rouzrokh, CU Gamble, HM Trivedi, ... EBioMedicine 104, 2024 | 38 | 2024 |
| Patient-specific COVID-19 resource utilization prediction using fusion AI model A Tariq, LA Celi, JM Newsome, S Purkayastha, NK Bhatia, H Trivedi, ... NPJ digital medicine 4 (1), 94, 2021 | 38 | 2021 |
| Critical Components of Formative Assessment in Process-Oriented Guided Inquiry Learning for Online Labs. S Purkayastha, AK Surapaneni, P Maity, AS Rajapuri, JW Gichoya Electronic Journal of E-learning 17 (2), 79-92, 2019 | 37 | 2019 |
| Dyscover—An Orton-Gillingham approach inspired multi-sensory learning application for dyslexic children S Purkayastha, N Nehete, J Purkayastha 2012 World Congress on Information and Communication Technologies, 685-690, 2012 | 37 | 2012 |
| Engagement and usability of a cognitive behavioral therapy mobile app compared with web-based cognitive behavioral therapy among college students: randomized heuristic trial S Purkayastha, SA Addepally, S Bucher JMIR human factors 7 (1), e14146, 2020 | 35 | 2020 |
| Identification of patients in need of advanced care for depression using data extracted from a statewide health information exchange: a machine learning approach SN Kasthurirathne, PG Biondich, SJ Grannis, S Purkayastha, JR Vest, ... Journal of medical Internet research 21 (7), e13809, 2019 | 35 | 2019 |
| Big data analytics for developing countries–using the cloud for operational BI in health S Purkayastha, J Braa The Electronic Journal of Information Systems in Developing Countries 59 (1 …, 2013 | 31 | 2013 |
Judy Wawira GichoyaEmory UniversityVerified email at emory.edu
