| Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI B Vasey, M Nagendran, B Campbell, DA Clifton, GS Collins, S Denaxas, ... bmj 377, 2022 | 277 | 2022 |
| Multimodal machine learning for automated ICD coding K Xu, M Lam, J Pang, X Gao, C Band, P Mathur, F Papay, AK Khanna, ... Machine learning for healthcare conference, 197-215, 2019 | 99 | 2019 |
| Evaluation framework to guide implementation of AI systems into healthcare settings S Reddy, W Rogers, VP Makinen, E Coiera, P Brown, M Wenzel, ... BMJ health & care informatics 28 (1), 2021 | 81 | 2021 |
| Bias in artificial intelligence algorithms and recommendations for mitigation LH Nazer, R Zatarah, S Waldrip, JXC Ke, M Moukheiber, AK Khanna, ... PLOS Digital Health 2 (6), e0000278, 2023 | 79 | 2023 |
| Artificial intelligence in critical care P Mathur, ML Burns International anesthesiology clinics 57 (2), 89-102, 2019 | 37 | 2019 |
| Utilization and impact on fellowship training of non-physician advanced practice providers in intensive care units of academic medical centers: a survey of critical care … AM Joffe, SM Pastores, LL Maerz, P Mathur, SJ Lisco Journal of Critical Care 29 (1), 112-115, 2014 | 37 | 2014 |
| Artificial intelligence for perioperative medicine: perioperative intelligence K Maheshwari, JB Cywinski, F Papay, AK Khanna, P Mathur Anesthesia & Analgesia 136 (4), 637-645, 2023 | 23 | 2023 |
| Quality improvement during the COVID-19 pandemic S Oesterreich, JB Cywinski, B Elo, M Geube, P Mathur Cleve Clin J Med 10, 2020 | 23 | 2020 |
| DECIDE‑AI expert group: reporting guideline for the early‑stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE‑AI B Vasey, M Nagendran, B Campbell, DA Clifton, GS Collins, S Denaxas, ... Nat Med 28 (5), 924-33, 2022 | 18 | 2022 |
| Identify and monitor clinical variation using machine intelligence: a pilot in colorectal surgery K Maheshwari, J Cywinski, P Mathur, KC Cummings, R Avitsian, T Crone, ... Journal of Clinical Monitoring and Computing 33, 725-731, 2019 | 15 | 2019 |
| Artificial Intelligence in Healthcare: 2020 Year in Review P Mathur, AK Khanna, JB Cywinski, K Maheshwari, L McCoy, AJ Naylor, ... Researchgate, 2021 | 7 | 2021 |
| Bias in artificial intelligence algorithms and recommendations for mitigation. PLOS Digital Health 2 (6): e0000278 LH Nazer, R Zatarah, S Waldrip, JXC Ke, M Moukheiber, AK Khanna, ... | 6 | 2023 |
| Explainable machine learning models to understand determinants of COVID-19 mortality in the United States P Mathur, T Sethi, A Mathur, K Maheshwari, JB Cywinski, AK Khanna, ... medRxiv, 2020.05. 23.20110189, 2020 | 5 | 2020 |
| Successful placement of double lumen endotracheal tube using fluoroscopy A Maheshwari, N Sharma, P Mathur Journal of Anaesthesiology Clinical Pharmacology 29 (1), 130-131, 2013 | 5 | 2013 |
| Quantitative and Qualitative evaluation of the recent Artificial Intelligence in Healthcare publications using Deep-Learning R Awasthi, S Mishra, JB Cywinski, AK Khanna, K Maheshwari, FA Papay, ... medRxiv, 2022.12. 31.22284092, 2023 | 4 | 2023 |
| Publisher correction: reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI B Vasey, M Nagendran, B Campbell, DA Clifton, GS Collins, S Denaxas, ... Nature Medicine 28 (10), 2218-2218, 2022 | 4 | 2022 |
| Incidental discovery of a partial anomalous pulmonary venous connection in the surgical critical care unit AK Khanna, A Maheshwari, MJ Popovich, P Mathur Journal of Clinical Anesthesia 26 (8), 693-696, 2014 | 4 | 2014 |
| HumanELY: Human evaluation of LLM yield, using a novel web-based evaluation tool R Awasthi, S Mishra, D Mahapatra, A Khanna, K Maheshwari, J Cywinski, ... medRxiv, 2023.12. 22.23300458, 2023 | 2 | 2023 |
| 1214: Machine learning-based early mortality prediction at the time of ICU admission S McManus, R Almuqati, R Khatib, A Khanna, J Cywinski, F Papay, ... Critical Care Medicine 50 (1), 607, 2022 | 2 | 2022 |
| Automated analysis of ambulatory surgery patient experience comments using artificial intelligence for quality improvement: A patient centered approach P Mathur, JB Cywinski, K Maheshwari, J Niezgoda, J Mathew, ... Intelligence-Based Medicine 5, 100043, 2021 | 2 | 2021 |
