Karandeep S Singh (Karandeep Singh)

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 23

Top Venues

BMJ (Clinical research ed.)

Clinical journal of the American Society of Nephrology : CJASN

Annals of internal medicine

medRxiv : the preprint server for health sciences

University of Michigan

This page only lists publications with an associated author ORCID identifier.

Affiliation History

University of Michigan

United States

Assistant Professor :: Learning Health Sciences and Medicine

Publications

Gary Stephen Collins, Karel G M Moons, Paula Dhiman, Richard D Riley, Andrew L Beam, Ben Van Calster, Marzyeh Ghassemi, Xiaoxuan Liu, Johannes B Reitsma, Maarten van Smeden, Anne-Laure Boulesteix, Jennifer Catherine Louise Camaradou, Leo Anthony Celi, Spiros Denaxas, Alastair Keith Denniston, Ben Glocker, Robert M Golub, Hugh Harvey, Georg Heinze, Michael M Hoffman, Andre Pascal Kengne, Emily Lam, Naomi Lee, Elizabeth W Loder, Lena Maier-Hein, Bilal Akhter Mateen, Melissa Danielle McCradden, Lauren Oakden-Rayner, Johan Ordish, Richard Parnell, Sherri Rose, Karandeep S Singh, Laure Wynants, Patrícia Logullo
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. BMJ (Clinical research ed.) 385 (2024)
Gary Stephen Collins, Karel G M Moons, Paula Dhiman, Richard D Riley, Andrew L Beam, Ben Van Calster, Marzyeh Ghassemi, Xiaoxuan Liu, Johannes B Reitsma, Maarten van Smeden, Anne-Laure Boulesteix, Jennifer Catherine Louise Camaradou, Leo Anthony Celi, Spiros Denaxas, Alastair Keith Denniston, Ben Glocker, Robert M Golub, Hugh Harvey, Georg Heinze, Michael M Hoffman, Andre Pascal Kengne, Emily Lam, Naomi Lee, Elizabeth W Loder, Lena Maier-Hein, Bilal Akhter Mateen, Melissa Danielle McCradden, Lauren Oakden-Rayner, Johan Ordish, Richard Parnell, Sherri Rose, Karandeep S Singh, Laure Wynants, Patrícia Logullo
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. BMJ (Clinical research ed.) 385 (2024)
Gary Stephen Collins, Karel G M Moons, Paula Dhiman, Richard D Riley, Andrew L Beam, Ben Van Calster, Marzyeh Ghassemi, Xiaoxuan Liu, Johannes B Reitsma, Maarten van Smeden, Anne-Laure Boulesteix, Jennifer Catherine Louise Camaradou, Leo Anthony Celi, Spiros Denaxas, Alastair Keith Denniston, Ben Glocker, Robert M Golub, Hugh Harvey, Georg Heinze, Michael M Hoffman, Andre Pascal Kengne, Emily Lam, Naomi Lee, Elizabeth W Loder, Lena Maier-Hein, Bilal Akhter Mateen, Melissa Danielle McCradden, Lauren Oakden-Rayner, Johan Ordish, Richard Parnell, Sherri Rose, Karandeep S Singh, Laure Wynants, Patrícia Logullo
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. BMJ (Clinical research ed.) 385 (2024)
Gary Stephen Collins, Karel G M Moons, Paula Dhiman, Richard D Riley, Andrew L Beam, Ben Van Calster, Marzyeh Ghassemi, Xiaoxuan Liu, Johannes B Reitsma, Maarten van Smeden, Anne-Laure Boulesteix, Jennifer Catherine Louise Camaradou, Leo Anthony Celi, Spiros Denaxas, Alastair Keith Denniston, Ben Glocker, Robert M Golub, Hugh Harvey, Georg Heinze, Michael M Hoffman, Andre Pascal Kengne, Emily Lam, Naomi Lee, Elizabeth W Loder, Lena Maier-Hein, Bilal Akhter Mateen, Melissa Danielle McCradden, Lauren Oakden-Rayner, Johan Ordish, Richard Parnell, Sherri Rose, Karandeep S Singh, Laure Wynants, Patrícia Logullo
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. BMJ (Clinical research ed.) 385 (2024)
Patrick G Lyons, David A Dorr, Genevieve B Melton, Karandeep S Singh, Philip Richard Orrin Payne
Meeting the Artificial Intelligence Needs of U.S. Health Systems. Annals of internal medicine (2024)
Gary Stephen Collins, Karel G M Moons, Paula Dhiman, Richard D Riley, Andrew L Beam, Ben Van Calster, Marzyeh Ghassemi, Xiaoxuan Liu, Johannes B Reitsma, Maarten van Smeden, Anne-Laure Boulesteix, Jennifer Catherine Louise Camaradou, Leo Anthony Celi, Spiros Denaxas, Alastair Keith Denniston, Ben Glocker, Robert M Golub, Hugh Harvey, Georg Heinze, Michael M Hoffman, Andre Pascal Kengne, Emily Lam, Naomi Lee, Elizabeth W Loder, Lena Maier-Hein, Bilal Akhter Mateen, Melissa Danielle McCradden, Lauren Oakden-Rayner, Johan Ordish, Richard Parnell, Sherri Rose, Karandeep S Singh, Laure Wynants, Patrícia Logullo
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. BMJ (Clinical research ed.) 385 (2024)
Gary Stephen Collins, Karel G M Moons, Paula Dhiman, Richard D Riley, Andrew L Beam, Ben Van Calster, Marzyeh Ghassemi, Xiaoxuan Liu, Johannes B Reitsma, Maarten van Smeden, Anne-Laure Boulesteix, Jennifer Catherine Louise Camaradou, Leo Anthony Celi, Spiros Denaxas, Alastair Keith Denniston, Ben Glocker, Robert M Golub, Hugh Harvey, Georg Heinze, Michael M Hoffman, Andre Pascal Kengne, Emily Lam, Naomi Lee, Elizabeth W Loder, Lena Maier-Hein, Bilal Akhter Mateen, Melissa Danielle McCradden, Lauren Oakden-Rayner, Johan Ordish, Richard Parnell, Sherri Rose, Karandeep S Singh, Laure Wynants, Patrícia Logullo
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. BMJ (Clinical research ed.) 385 (2024)
Gary Stephen Collins, Karel G M Moons, Paula Dhiman, Richard D Riley, Andrew L Beam, Ben Van Calster, Marzyeh Ghassemi, Xiaoxuan Liu, Johannes B Reitsma, Maarten van Smeden, Anne-Laure Boulesteix, Jennifer Catherine Louise Camaradou, Leo Anthony Celi, Spiros Denaxas, Alastair Keith Denniston, Ben Glocker, Robert M Golub, Hugh Harvey, Georg Heinze, Michael M Hoffman, Andre Pascal Kengne, Emily Lam, Naomi Lee, Elizabeth W Loder, Lena Maier-Hein, Bilal Akhter Mateen, Melissa Danielle McCradden, Lauren Oakden-Rayner, Johan Ordish, Richard Parnell, Sherri Rose, Karandeep S Singh, Laure Wynants, Patrícia Logullo
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. BMJ (Clinical research ed.) 385 (2024)
Gary Stephen Collins, Karel G M Moons, Paula Dhiman, Richard D Riley, Andrew L Beam, Ben Van Calster, Marzyeh Ghassemi, Xiaoxuan Liu, Johannes B Reitsma, Maarten van Smeden, Anne-Laure Boulesteix, Jennifer Catherine Louise Camaradou, Leo Anthony Celi, Spiros Denaxas, Alastair Keith Denniston, Ben Glocker, Robert M Golub, Hugh Harvey, Georg Heinze, Michael M Hoffman, Andre Pascal Kengne, Emily Lam, Naomi Lee, Elizabeth W Loder, Lena Maier-Hein, Bilal Akhter Mateen, Melissa Danielle McCradden, Lauren Oakden-Rayner, Johan Ordish, Richard Parnell, Sherri Rose, Karandeep S Singh, Laure Wynants, Patrícia Logullo
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. BMJ (Clinical research ed.) 385 (2024)
Akhil Vaid, Ashwin S Sawant, Mayte Suárez-Fariñas, Juhee Lee, Sanjeev Kaul, Patricia Kovatch, Robert M Freeman, Joy Jiang, Pushkala Jayaraman, Zahi Adel Fayad, Edgar Argulian, Stamatios Lerakis, Alexander W Charney, Fei Wang, Matthew A Levin, Benjamin Scott Glicksberg, Jagat Narula, Ira Hofer, Karandeep S Singh, Girish Nitin Nadkarni
Implications of the Use of Artificial Intelligence Predictive Models in Health Care Settings : A Simulation Study. Annals of internal medicine (2023)
Emily A Balczewski, Jie Cao, Karandeep S Singh
Risk Prediction and Machine Learning: A Case-Based Overview. Clinical journal of the American Society of Nephrology : CJASN (2023)
Josh Schilling, Sepideh Shokouhi, Aisha H Montgomery, Girish Nitin Nadkarni, Alexander W Charney, Anil Shanker, Rajbir Singh, Kenar D Jhaveri, Karandeep S Singh, Prashant Khadke, Praduman Jain
Development of a decentralized cohort for studying post-acute sequelae of COVID-19 in India in the Data4life Study. Communications medicine 3 (1) (2023)
Hannah Lamberg, Prasad R Shankar, Karandeep S Singh, Elaine M Caoili, Arvin K George, Caitlin Hackett, Anna Johnson, Matthew S Davenport
Preoperative Prostate MRI Predictors of Urinary Continence Following Radical Prostatectomy. Radiology 303 (1) (2022)
Sean R Meyer, Alissa Carver, Hyeon Joo, Kartik Kailas Venkatesh, John Eric Jelovsek, Thomas T Klumpner, Karandeep S Singh
External Validation of Postpartum Hemorrhage Prediction Models Using Electronic Health Record Data. American journal of perinatology (2022)
Karandeep S Singh, Thomas S Valley, Shengpu Tang, Benjamin Y Li, Fahad Kamran, Michael W Sjoding, Jenna Wiens, Erkin Otles, John P Donnelly, Melissa Y Wei, Jonathon P McBride, Jie Cao, Carleen Penoza, John Z Ayanian, Brahmajee K Nallamothu
Evaluating a Widely Implemented Proprietary Deterioration Index Model among Hospitalized Patients with COVID-19. Annals of the American Thoracic Society 18 (7) (2021)
Danielle E Soranno, Azra Bihorac, Stuart L Goldstein, Kianoush B Kashani, Shina Menon, Girish Nitin Nadkarni, Javier A Neyra, Neesh I Pannu, Karandeep S Singh, Jorge Cerdá, Jay L Koyner
Artificial Intelligence for AKI!Now: Let's Not Await Plato's Utopian Republic. Kidney360 3 (2) (2021)
Suraj K Jaladanki, Akhil Vaid, Ashwin S Sawant, Jie Xu, Kush Shah, Sergio Dellepiane, Ishan Paranjpe, Lili Chan, Patricia Kovatch, Alexander W Charney, Fei Wang, Benjamin Scott Glicksberg, Karandeep S Singh, Girish Nitin Nadkarni
Development of a federated learning approach to predict acute kidney injury in adult hospitalized patients with COVID-19 in New York City. medRxiv : the preprint server for health sciences (2021)
Brandon C Cummings, Sardar Ansari, Jonathan R Motyka, Guan Wang, Richard P Medlin, Steven L Kronick, Karandeep S Singh, Pauline K Park, Lena M Napolitano, Robert P Dickson, Michael R Mathis, Michael W Sjoding, Andrew J Admon, Ross Blank, Jakob I McSparron, Kevin R Ward, Christopher E Gillies
Predicting Intensive Care Transfers and Other Unforeseen Events: Analytic Model Validation Study and Comparison to Existing Methods. JMIR medical informatics 9 (4) (2021)
Karandeep S Singh
Mobile Health in Dialysis: The Best Engagement Medium Is the One that's with Patients. Clinical journal of the American Society of Nephrology : CJASN 16 (1) (2020)
Karandeep S Singh, Thomas S Valley, Shengpu Tang, Benjamin Y Li, Fahad Kamran, Michael W Sjoding, Jenna Wiens, Erkin Ötleş, John P Donnelly, Melissa Y Wei, Jonathon P McBride, Jie Cao, Carleen Penoza, John Z Ayanian, Brahmajee K Nallamothu
Evaluating a Widely Implemented Proprietary Deterioration Index Model Among Hospitalized COVID-19 Patients. medRxiv : the preprint server for health sciences (2020)
Karandeep S Singh, Clarissa Jonas Diamantidis, Shreyas Ramani, Nrupen A Bhavsar, Peter Mara, Julia Warner, Jorge Rodriguez, Tianshi Wang, Julie Wright-Nunes
Patients' and Nephrologists' Evaluation of Patient-Facing Smartphone Apps for CKD. Clinical journal of the American Society of Nephrology : CJASN 14 (4) (2019)
Karandeep S Singh, Niteesh K Choudhry, Alexis A Krumme, Caroline McKay, Newell E McElwee, Joe Kimura, Jessica M Franklin
A concept-wide association study to identify potential risk factors for nonadherence among prevalent users of antihypertensives. Pharmacoepidemiology and drug safety 28 (10) (2019)
Karandeep S Singh, Kaitlin Drouin, Lisa P Newmark, Malina Filkins, Elizabeth Silvers, Paul A Bain, Donna M Zulman, Jae-Ho Lee, Ronen Rozenblum, Erika Pabo, Adam B Landman, Elissa V Klinger, David Westfall Bates
Patient-Facing Mobile Apps to Treat High-Need, High-Cost Populations: A Scoping Review. JMIR mHealth and uHealth 4 (4) (2016)

Karandeep S Singh.css-eqlu8i{font-size:small;padding-left:4px;} (Karandeep Singh)

Publication Activity (10 Years)

Top Topics

Top Venues

Karandeep S Singh (Karandeep Singh)