Artificial intelligence and human trust in healthcare: focus on clinicians O Asan, AE Bayrak, A Choudhury Journal of medical Internet research 22 (6), e15154, 2020 | 671 | 2020 |
Role of artificial intelligence in patient safety outcomes: systematic literature review A Choudhury, O Asan JMIR medical informatics 8 (7), e18599, 2020 | 338 | 2020 |
Investigating the Impact of User Trust on Adoption and Use of ChatGPT: A Survey Analysis A Choudhury, H Shamszare Journal of Medical Internet Research, 2023 | 254 | 2023 |
User intentions to use ChatGPT for self-diagnosis and health-related purposes: cross-sectional survey study Y Shahsavar, A Choudhury JMIR Human Factors 10 (1), e47564, 2023 | 193 | 2023 |
Research trends in artificial intelligence applications in human factors health care: mapping review O Asan, A Choudhury JMIR human factors 8 (2), e28236, 2021 | 90 | 2021 |
Use of machine learning in geriatric clinical care for chronic diseases: a systematic literature review A Choudhury, E Renjilian, O Asan JAMIA open 3 (3), 459-471, 2020 | 76 | 2020 |
Forecasting hourly emergency department arrival using time series analysis A Choudhury, E Urena British Journal of Healthcare Management 26 (1), 34-43, 2020 | 69 | 2020 |
Impact of accountability, training, and human factors on the use of artificial intelligence in healthcare: Exploring the perceptions of healthcare practitioners in the US A Choudhury, O Asan Human Factors in Healthcare 2, 100021, 2022 | 66 | 2022 |
Effect of risk, expectancy, and trust on clinicians’ intent to use an artificial intelligence system--Blood Utilization Calculator A Choudhury, O Asan, JE Medow Applied Ergonomics 101, 103708, 2022 | 59 | 2022 |
Classification of cervical cancer dataset A Choudhury, YM Wesabi, D Won arXiv preprint arXiv:1812.10383, 2018 | 53 | 2018 |
Large language models and user trust: consequence of self-referential learning loop and the deskilling of health care professionals A Choudhury, Z Chaudhry Journal of Medical Internet Research 26, e56764, 2024 | 45 | 2024 |
Clinicians’ social support, job stress, and intent to leave healthcare during COVID-19 A Tabur, A Choudhury, A Emhan, C Mengenci, O Asan Healthcare 10 (2), 229, 2022 | 44 | 2022 |
Toward an ecologically valid conceptual framework for the use of artificial intelligence in clinical settings: need for systems thinking, accountability, decision-making, trust … A Choudhury JMIR Human Factors 9 (2), e35421, 2022 | 43 | 2022 |
Humanoid robot-application and influence A Choudhury, H Li, C Greene, S Perumalla arXiv preprint arXiv:1812.06090, 2018 | 43 | 2018 |
Predicting cancer using supervised machine learning: Mesothelioma A Choudhury Technology and Health Care 29 (1), 45-58, 2021 | 36 | 2021 |
Hepatitis E in solid organ transplant recipients: A systematic review and meta-analysis P Hansrivijit, A Trongtorsak, MM Puthenpura, B Boonpheng, ... World Journal of Gastroenterology 27 (12), 1240, 2021 | 32 | 2021 |
Factors influencing clinicians’ willingness to use an AI-based clinical decision support system A Choudhury Frontiers Digital Health, 4:920662, 2022 | 31 | 2022 |
Artificial intelligence to improve health outcomes in the NICU and PICU: a systematic review CO Adegboro, A Choudhury, O Asan, MM Kelly Hospital Pediatrics 12 (1), 93-110, 2022 | 31 | 2022 |
PSSO: Political squirrel search optimizer-driven deep learning for severity level detection and classification of lung cancer A Choudhury, S Balasubramaniam, AP Kumar, SNP Kumar International Journal of Information Technology & Decision Making, 1-34, 2023 | 30 | 2023 |
Evaluating patient readmission risk: a predictive analytics approach A Choudhury, CM Greene arXiv preprint arXiv:1812.11028, 2018 | 28 | 2018 |