Adjunct Associate Professor of Learning Health Sciences and Associate Chief Medical Information Officer of Artificial Intelligence
[email protected]
Available to mentor
Karandeep Singh
Adjunct Associate Professor
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Center MemberCenter for Computational Medicine and Bioinformatics
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Center MemberPrecision Health Initiative
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Center Membere-Health and Artificial Intelligence Initiative
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Rountree L, Lin Y-T, Liu C, Salvatore M, Admon A, Nallamothu BK, Singh K, Basu A, Mukherjee B. medRxiv,PreprintReporting of Fairness Metrics in Clinical Risk Prediction Models: A Call for Change
DOI:10.1101/2024.03.16.24304390 -
Boynton D, Noyes SL, Murali A, Peabody H, Krumm A, Singh K, Lane BR. Urol Oncol, 2024 Mar; 42 (3): 72.e1 - 72.e8.Journal ArticleSimplified cardiovascular index may be the best comorbidity index for clinical use in prediction of mortality for renal cancer patients.
DOI:10.1016/j.urolonc.2024.01.004 PMID: 38242826 -
Kamran F, Tjandra D, Heiler A, Virzi J, Singh K, King JE, Valley TS, Wiens J. NEJM AI, 2024 Feb 22; 1 (3):Journal ArticleEvaluation of Sepsis Prediction Models before Onset of Treatment
DOI:10.1056/aioa2300032 -
Nong P, Hamasha R, Singh K, Adler-Milstein J, Platt J. NEJM AI, 2024 Feb 22; 1 (3):Journal ArticleHow Academic Medical Centers Govern AI Prediction Tools in the Context of Uncertainty and Evolving Regulation
DOI:10.1056/aip2300048 -
Lane BR, Cheaib JG, Boynton D, Pierorazio P, Noyes SL, Peabody H, Singla N, Johnson A, Ghani KR, Krumm A, Singh K. Urol Oncol, 2024 May 3;Journal ArticleDevelopment and validation of a multicenter Cox regression model to predict all-cause mortality in patients with renal masses suspicious for renal cancer.
DOI:10.1016/j.urolonc.2024.04.007 PMID: 38704319 -
Collins GS, Moons KGM, Dhiman P, Riley RD, Beam AL, Van Calster B, Ghassemi M, Liu X, Reitsma JB, van Smeden M, Boulesteix A-L, Camaradou JC, Celi LA, Denaxas S, Denniston AK, Glocker B, Golub RM, Harvey H, Heinze G, Hoffman MM, Kengne AP, Lam E, Lee N, Loder EW, Maier-Hein L, Mateen BA, McCradden MD, Oakden-Rayner L, Ordish J, Parnell R, Rose S, Singh K, Wynants L, Logullo P. BMJ, 2024 Apr 16; 385: e078378Journal ArticleTRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods.
DOI:10.1136/bmj-2023-078378 PMID: 38626948 -
Kashani KB, Awdishu L, Bagshaw SM, Barreto EF, Claure-Del Granado R, Evans BJ, Forni LG, Ghosh E, Goldstein SL, Kane-Gill SL, Koola J, Koyner JL, Liu M, Murugan R, Nadkarni GN, Neyra JA, Ninan J, Ostermann M, Pannu N, Rashidi P, Ronco C, Rosner MH, Selby NM, Shickel B, Singh K, Soranno DE, Sutherland SM, Bihorac A, Mehta RL. Nat Rev Nephrol, 2023 Dec; 19 (12): 807 - 818.Journal ArticleDigital health and acute kidney injury: consensus report of the 27th Acute Disease Quality Initiative workgroup.
DOI:10.1038/s41581-023-00744-7 PMID: 37580570 -
Gulamali FF, Sawant AS, Liharska L, Horowitz CR, Chan L, Kovatch PH, Hofer I, Singh K, Richardson LD, Mensah E, Charney AW, Reich DL, Hu J, Nadkarni GN. medRxiv,PreprintDerivation and Validation of a Machine Learning Approach to Detect and Mitigate Biases in Healthcare Data
DOI:10.1101/2023.11.06.23298164