Calibration drift in regression and machine learning models for acute kidney injury
Davis, Sharon E, Lasko, Thomas A, Chen, Guanhua, Siew, Edward D, Matheny, Michael E·2017·Journal of the American Medical Informatics Association
Cited by (313)
Items 101–200 of 313
- Does Artificial Intelligence Make Clinical Decision Better? A Review of Artificial Intelligence and Machine Learning in Acute Kidney Injury PredictionTao Han Lee, Jia‐Jin Chen, Chi‐Tung Cheng, Chih‐Hsiang Chang · 2021 · Healthcare
- Comparison of Prediction Model Performance Updating Protocols: Using a Data-Driven Testing Procedure to Guide Updating.Sharon E. Davis, Robert A. Greevy, Thomas A. Lasko, Colin G. Walsh, Michael Edwin Matheny · 2019 · PubMed Central
- Development and temporal validation of a clinical prediction model of transition to psychosis in individuals at ultra‐high risk in the UHR 1000+ cohortSimon Hartmann, Dominic Dwyer, Blake Stockton Cavve, Enda M. Byrne, Isabelle Scott, Caroline X. Gao, Cassandra Wannan, Hok Pan Yuen, Jessica Hartmann, Ashleigh Peng Lin et al. · 2024 · World Psychiatry
- Recalibration Methods for Improved Clinical Utility of Risk ScoresAnu Mishra, Robyn L. McClelland, Lurdes Y. T. Inoue, Kathleen F. Kerr · 2021 · Medical Decision Making
- Uncertainty Estimation and Reduction of Pre-trained Models for Text RegressionWang, Yuxia, Beck, Daniel, Baldwin, Timothy, Verspoor, Karin · 2022 · Transactions of the Association for Computational Linguistics
- Gaps in artificial intelligence research for rural health in the United States: a scoping reviewKatherine E Brown, Sharon E. Davis · 2025 · Journal of the American Medical Informatics Association
- Artificial intelligence for surgical scene understanding: a systematic review and reporting quality meta-analysisMatthias Carstens, Shubha Vasisht, Zheyuan Zhang, Iulia Barbur, Annika Reinke, Lena Maier-Hein, Daniel A. Hashimoto, Fiona R. Kolbinger · 2025 · npj Digital Medicine
- Accelerating Surgical Site Infection Abstraction With a Semi-automated Machine-learning ApproachSteven J. Skube, Zhen Hu, György Simon, Elizabeth Collens Wick, Elliot G. Arsoniadis, Clifford Y. Ko, Genevieve B. Melton · 2020 · Annals of Surgery
- Artificial Intelligence in the healthcare of older peopleElizabeta B Mukaetova-Ladinska, Tracy G. Harwood, John Maltby · 2020 · Archives of Psychiatry and Mental Health
- Longitudinal Model Shifts of Machine Learning–Based Clinical Risk Prediction Models: Evaluation Study of Multiple Use Cases Across Different HospitalsCabanillas Silva, Patricia, Sun, Hong, Rezk, Mohamed, Roccaro-Waldmeyer, Diana M, Fliegenschmidt, Janis, Hulde, Nikolai, von Dossow, Vera, Meesseman, Laurent, Depraetere, Kristof, Stieg, Joerg et al. · 2024 · Journal of Medical Internet Research
- A hitchhiker’s guide to cancer modelsKarim I. Budhwani, Zeelu H. Patel, Rachael E. Guenter, Areesha A. Charania · 2022 · Trends in biotechnology
- The incidence and risk factors analysis of acute kidney injury in hospitalized patients received diuretics: A single-center retrospective studyRuiqiu Zhang, Yanxin Liu, Jia Cao, Jiahui Lao, Baobao Wang, Siwen Li, Xin Huang, Fang Tang, Xiao Yue Li · 2022 · Frontiers in Pharmacology
- A Transfer Learning Approach to Correct the Temporal Performance Drift of Clinical Prediction Models: Retrospective Cohort StudyXiangzhou Zhang, Yunfei Xue, Xinyu Su, Shaoyong Chen, Kang Liu, Weiqi Chen, Mei Liu, Yong Qiang Hu · 2022 · JMIR Medical Informatics
- Development and Prospective Validation of a Machine Learning-Based Risk of Readmission Model in a Large Military HospitalCarly Eckert, Neris M. Nieves-Robbins, Elena A. Spieker, Tom Louwers, David Hazel, James Marquardt, Keith Solveson, Anam Zahid, Muhammad Aurangzeb Ahmad, Richard P. Barnhill et al. · 2019 · Applied Clinical Informatics
- DeepHealth: Review and challenges of artificial intelligence in health informaticsGloria Hyunjung Kwak, Pan Hui · 2019 · arXiv (Cornell University)
- The Role of Artificial Intelligence in Chronic Liver Diseases and Liver TransplantationAshley Spann, Alexandra T. Strauss, Sharon E. Davis, Mamatha Bhat · 2025 · Gastroenterology
- Machine Learning in Emergency Medicine: Keys to Future SuccessRichard Andrew Taylor, Adrian D. Haimovich · 2020 · Academic Emergency Medicine
- Supporting Acute Advance Care Planning with Precise, Timely Mortality Risk PredictionsErwin Wang, Vincent J. Major, Nicole Adler, Kevin D. Hauck, Jonathan S. Austrian, Yindalon Aphinyanaphongs, Leora Idit Horwitz · 2021 · NEJM Catalyst
- Evaluation of MRI-based machine learning approaches for computer-aided diagnosis of dementia in a clinical data warehouseSimona Bottani, Ninon Burgos, Aurélien Maire, Dario Saracino, Sébastian Ströer, Didier Dormont, Olivier Colliot · 2023 · Medical Image Analysis
- Optimizing Equity: Working towards Fair Machine Learning Algorithms in Laboratory MedicineVahid Azimi, Mark A. Zaydman · 2023 · The Journal of Applied Laboratory Medicine
- Acute coronary syndromes diagnosis, version 2.0: Tomorrow's approach to diagnosing acute coronary syndromes?Richard M. Body · 2018 · Turkish Journal of Emergency Medicine
- “Yes, but will it work for my patients?” Driving clinically relevant research with benchmark datasetsTrishan Panch, Tom Pollard, Heather Mattie, Emily Lindemer, Pearse Andrew Keane, Leo Anthony Celi · 2020 · npj Digital Medicine
- Development and Validation of a Web-Based Prediction Model for AKI after SurgerySang Hoon Woo, Jillian H. Zavodnick, Lily L. Ackermann, Omar H. Maarouf, Jingjing Zhang, Scott W. Cowan · 2020 · Kidney360
- Comparative Performance of Prediction Models for Contrast-Associated Acute Kidney Injury After Percutaneous Coronary InterventionBryan Ma, David W. Allen, Michelle M. Graham, Bryan Har, Ben D. Tyrrell, Zhi Tan, John A. Spertus, Jeremiah R. Brown, Michael Edwin Matheny, Brenda R. Hemmelgarn et al. · 2019 · Circulation Cardiovascular Quality and Outcomes
- Artificial intelligence to guide management of acute kidney injury in the ICU: a narrative reviewGreet De Vlieger, KIANOUSH B KASHANI, Geert Meyfroidt · 2020 · Current Opinion in Critical Care
- Performance drift in a mortality prediction algorithm among patients with cancer during the SARS-CoV-2 pandemicRavi Bharat Parikh, Yichen Zhang, Likhitha Kolla, Corey Chivers, Katherine R. Courtright, Jingsan Zhu, Amol S. Navathe, Jinbo Chen · 2022 · Journal of the American Medical Informatics Association
- Evaluation of Electronic Health Record-Based Suicide Risk Prediction Models on Contemporary DataRod L. Walker, Susan M. Shortreed, Rebecca A. Ziebell, Eric Johnson, Jennifer M. Boggs, Frances L. Lynch, Yihe Goh Daida, Brian Kenneth Ahmedani, Rebecca C. Rossom, Karen J. Coleman et al. · 2021 · Applied Clinical Informatics
- Pseudoprospective Paraclinical Interaction of Radiology Residents With a Deep Learning System for Prostate Cancer DetectionKevin Sun Zhang, Patrick Schelb, Nils Netzer, Anoshirwan Andrej Tavakoli, Myriam Keymling, Eckhard Wehrse, Robert Hog, Lukas T. Rotkopf, Markus Wennmann, Philip Alexander Glemser et al. · 2022 · Investigative Radiology
- Machine learning models for acute kidney injury prediction and management: a scoping review of externally validated studiesAqeeb Ur Rehman, Javier A. Neyra, Jin Chen, Lama Ghazi · 2025 · Critical Reviews in Clinical Laboratory Sciences
- Predicting acute kidney injury at hospital re-entry using high-dimensional electronic health record dataSamuel J. Weisenthal, Caroline M. Quill, Samir A. Farooq, Henry Kautz, Martin Stuart Zand · 2018 · PLoS ONE
- Health Care Analytics With Time-Invariant and Time-Variant Feature Importance to Predict Hospital-Acquired Acute Kidney Injury: Observational Longitudinal StudyHorng‐Ruey Chua, Kaiping Zheng, Anantharaman Vathsala, Kee Yuan Ngiam, Hui‐Kim Yap, Liangjian Lu, Ho Yee Tiong, Amartya Mukhopadhyay, Graeme MacLaren, Shir Lynn Lim et al. · 2021 · Journal of Medical Internet Research
- Artificial Intelligence Algorithms for Medical Prediction Should Be Nonproprietary and Readily AvailableBen VAN CALSTER, Ewout Willem Steyerberg, Professor Gary S. Collins · 2019 · JAMA Internal Medicine
- Machine learning to develop a predictive model of pressure injury in persons with spinal cord injuryStephen L. Luther, Susan S. Thomason, Sunil Sabharwal, Dezon K. Finch, James A. McCart, Peter A. Toyinbo, Lina Bouayad, William A. Lapcevic, Bridget Hahm, Ronald George Hauser et al. · 2023 · Spinal Cord
- Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guaranteesJean Feng, Alexej Gossmann, Berkman Sahiner, Romain Pirracchio · 2021 · Journal of the American Medical Informatics Association
- Considering the Secondary Use of Clinical and Educational Data to Facilitate the Development of Artificial Intelligence ModelsBrent Thoma, Maxwell Spadafore, Stefanie S. Sebok‐Syer, Brian C. George, Teresa M. Chan, Andrew E. Krumm · 2023 · Academic Medicine
- Prediction of 30-Day Mortality Following Revision Total Hip and Knee Arthroplasty: Machine Learning Algorithms Outperform CARDE-B, 5-Item, and 6-Item Modified Frailty Index Risk ScoresChristian Alexander Pean, Anirudh Buddhiraju, Michelle R. Shimizu, Tony L-W Chen, John G. Esposito, Young‐Min Kwon · 2024 · The Journal of Arthroplasty
- Deep learning-based prediction of particle breakage and friction angle of water-degradable geomaterialsMubashir Aziz, Anwaruddin Siddiqui Mohammed, Umair Ali, Muhammad Azhar Saleem, Khwaja Mateen Mazher, Asad Hanif, Usman Ali · 2024 · Powder Technology
- Developing and Validating Multi-Modal Models for Mortality Prediction in COVID-19 Patients: a Multi-center Retrospective StudyJoy Tzung-Yu Wu, Miguel Ángel Armengol de la Hoz, Po‐Chih Kuo, Joseph Alexander Paguio, Jasper Seth Yao, Edward Christopher Dee, Wesley Lok Kin Yeung, Jerry Jurado, Achintya N. Moulick, Carmelo Milazzo et al. · 2022 · Journal of Imaging Informatics in Medicine
- Consecutive prediction of adverse maternal outcomes of preeclampsia, using the PIERS-ML and fullPIERS models: A multicountry prospective observational studyGuiyou Yang, Tünde Montgomery-Csobán, Wessel Ganzevoort, Sanne Jehanne Gordijn, Kimberley Kavanagh, Paul Murray, Laura Ann Magee, Henk Groen, Peter von Dadelszen · 2025 · PLoS Medicine
- Longitudinal validation of an electronic health record delirium prediction model applied at admission in COVID-19 patientsVictor Manuel Castro, Kamber L. Hart, Chana A. Sacks, Shawn N. Murphy, Roy H. Perlis, Thomas H. McCoy · 2021 · General Hospital Psychiatry
- Assessing Quality of Surgical Real-World Data from an Automated Electronic Health Record PipelineKristin Corey, Joshua K. Helmkamp, Morgan G. Simons, Lesley H. Curtis, Keith A. Marsolo, Suresh Balu, Michael C. Gao, Marshall Nichols, Joshua A. Watson, Leila Mureebe et al. · 2020 · Journal of the American College of Surgeons
- Generalization in Clinical Prediction Models: The Blessing and Curse of Measurement Indicator VariablesJoseph Futoma, Morgan G. Simons, Finale Doshi‐Velez, Rishikesan Kamaleswaran · 2021 · Critical Care Explorations
- Digital Health Solutions to Reduce the Burden of Atherosclerotic Cardiovascular Disease Proposed by the CARRIER ConsortiumBart Scheenstra, Anke Bruninx, Florian van Daalen, Nina Stahl, Elizabeth Latuapon, Maike S.V. Imkamp, Lianne Ippel, Sulaika Duijsings-Mahangi, Djura Smits, David M. R. Townend et al. · 2022 · JMIR Cardio
- Derivation and External Validation of a Risk Index for Predicting Acute Kidney Injury Requiring Kidney Replacement Therapy After Noncardiac SurgeryTodd Wilson, Lawrence de Koning, Robert Ross Quinn, Kelly B. Zarnke, Eric McArthur, Carina Iskander, Pavel S Roshanov, Amit X. Garg, Brenda R. Hemmelgarn, Neesh Pannu et al. · 2021 · JAMA Network Open
- The Trade Secret Taboo: Open Science Methods are Required to Improve Prediction Models in Sports Medicine and PerformanceGarrett Scott Bullock, Patrick Ward, Franco Milko Impellizzeri, Stefan Kluzek, Tom Hughes, Paula Dhiman, Richard D Riley, Professor Gary S. Collins · 2023 · Sports Medicine
- Integration of Machine Learning in Clinical Decision Support SystemsMoazzam Siddiq · 2021 · Eduvest - Journal Of Universal Studies
- Recent Advances and Future Perspectives in the Use of Machine Learning and Mathematical Models in NephrologyPaulo Paneque Galuzio, Alhaji Cherif · 2022 · Advances in Chronic Kidney Disease
- Multicenter Development and Validation of a Multimodal Deep Learning Model to Predict Moderate to Severe AKIKoyner, Jay L., Martin, Jennie, Carey, Kyle A., Caskey, John, Edelson, Dana P., Mayampurath, Anoop, Dligach, Dmitriy, Afshar, Majid, Churpek, Matthew M. · 2025 · Clinical Journal of the American Society of Nephrology
- When the whole is greater than the sum of its parts: why machine learning and conventional statistics are complementary for predicting future health outcomesRoemer J. Janse, Ameen Abu–Hanna, Iacopo Vagliano, Vianda S Stel, Kitty J. Jager, Giovanni Luigi Tripepi, Carmine Zoccali, Friedo Wilhelm Dekker, Merel van Diepen · 2025 · Clinical Kidney Journal
- Risk Prediction for Acute Kidney Injury in Patients Hospitalized With COVID-19Meredith C. McAdams, Pin Xu, Sameh N. Saleh, Michael Li, Mauricio Ostrosky-Frid, L. Parker Gregg, DuWayne L. Willett, Ferdinand T. Velasco, Christoph Ulrich Lehmann, S. Susan Hedayati · 2022 · Kidney Medicine
- Prediction models for brachytherapy-induced rectal toxicity in patients with locally advanced pelvic cancers: a systematic reviewF. Tohidinezhad, Y. Willems, M. Berbée, E. V. Van Limbergen, F. Verhaegen, A. Dekker, A. Traverso · 2022 · Journal of Contemporary Brachytherapy
- Diagnosing and remediating harmful data shifts for the responsible deployment of clinical AI modelsVallijah Subasri, Amrit Krishnan, Azra Dhalla, Deval Pandya, David M. Malkin, Fahad A. Razak, Amol A. Verma, Anna Goldenberg, Elham Dolatabadi · 2023 · medRxiv
- Prediction differences and implications of acute kidney injury with and without urine output criteria in adult critically ill patientsLijuan Wu, Yanqin Li, Xiangzhou Zhang, Xuanhui Chen, Deyang Li, Sheng Nie, Xin Li, Abdelouahab Bellou · 2023 · Nephrology Dialysis Transplantation
- Performance deterioration of deep learning models after clinical deployment: a case study with auto-segmentation for definitive prostate cancer radiotherapyBiling Wang, Michael J. Dohopolski, Ti Bai, Junjie Wu, Raquibul Hannan, Neil Bipinchandra Desai, Aurélie Garant, Daniel Xiao Yang, Dan T. D. Nguyen, Mu‐Han Lin et al. · 2024 · Machine Learning Science and Technology
- Validation of the 30-Year Framingham Risk Score in a German Population-Based CohortSusanne Rospleszcz, Fabian Starnecker, Birgit Linkohr, Moritz von Scheidt, Christian Gieger, Heribert Schunkert, Annette Peters · 2022 · Diagnostics
- Impact of the Covid-19 pandemic on the performance of machine learning algorithms for predicting perioperative mortalityDimislav Ivanov Andonov, Bernhard Ulm, Martin Graeßner, Armin Horst Podtschaske, Manfred Blobner, Bettina Jungwirth, Simone Maria Kagerbauer · 2023 · BMC Medical Informatics and Decision Making
- Chasing Your Long Tails: Differentially Private Prediction in Health Care SettingsVinith M. Suriyakumar, Nicolas Papernot, Anna Goldenberg, Marzyeh Ghassemi · 2020 · arXiv (Cornell University)
- Artificial Intelligence for Surgical Scene Understanding: A Systematic Review and Reporting Quality Meta-AnalysisMatthias Carstens, Shubha Vasisht, Zheyuan Zhang, Iulia Barbur, Annika Reinke, Lena Maier‐Hein, Daniel A. Hashimoto, Fiona R. Kolbinger · 2025 · medRxiv
- Why almost all ML models for medicine are wrong-and what we need for evidence-based medical AIFederico Cabitza, Giuseppe Jurman, Filippo Molinari, Riccardo Bellazzi · 2026 · International Journal of Medical Informatics
- Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicineBergquist, Timothy, Schaffter, Thomas, Yan, Yao, Yu, Thomas, Prosser, Justin, Gao, Jifan, Chen, Guanhua, Charzewski, Łukasz, Nawalany, Zofia, Brugere, Ivan et al. · 2023 · Journal of the American Medical Informatics Association
- Clinical Text Generation: Are We There Yet?Nicolas Hiebel, Olivier Ferret, Karën Fort, Aurélie Névéol · 2025 · Annual Review of Biomedical Data Science
- Algorithmic prognostication in critical care: a promising but unproven technology for supporting difficult decisionsGary E. Weissman, Vincent X. Liu · 2021 · Current Opinion in Critical Care
- Deploying Predictive Models In A Healthcare Environment - An Open Source ApproachDennis H. Murphree, Daniel J. Quest, Ryan M. Allen, Che G. Ngufor, Curtis B. Storlie · 2018 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- Maintaining a National Acute Kidney Injury Risk Prediction Model to Support Local Quality BenchmarkingSharon E. Davis, Jeremiah R. Brown, Chad A. Dorn, Dax M. Westerman, Richard Solomon, Michael Edwin Matheny · 2022 · Circulation Cardiovascular Quality and Outcomes
- Bibliometric and visual analysis of machine learning-based research in acute kidney injury worldwideXiang Yu, Rilige Wu, Yuwei Ji, Zhe Feng · 2023 · Frontiers in Public Health
- Applying Machine Learning Techniques to Implementation ScienceNathalie Huguet, Jinying Chen, Ravi Bharat Parikh, Miguel Marino, Susan A. Flocke, Sonja Likumahuwa-Ackman, Justin E. Bekelman, Jennifer E. DeVoe · 2024 · Online Journal of Public Health Informatics
- Intelligent Animal Husbandry: Present and FutureElena K. Kistanova, Stanimir Angelov Yotov, Дарина Заімова · 2024 · Animals
- Implementation of a dynamic model updating pipeline provides a systematic process for maintaining performance of prediction modelsKamaryn Tanner, Karla Diaz‐Ordaz, Ruth H. Keogh · 2024 · Journal of Clinical Epidemiology
- Performance Drift in a Nationally Deployed Population Health Risk Algorithm in the US Veterans Health AdministrationLikhitha Kolla, Kristin A. Linn, Amol S. Navathe, Craig Kreisler, Christopher Brent Roberts, Sae-Hwan Park, Harvineet Singh, Jean Feng, Jinbo Chen, Ravi Bharat Parikh · 2025 · JAMA Health Forum
- Is your clinical prediction model past its sell by date?Charles Reynard, David A. Jenkins, Glen Philip Martin, Evangelos Kontopantelis, Richard M. Body · 2022 · Emergency Medicine Journal
- Development of a national Department of Veterans Affairs mortality risk prediction model among patients with cirrhosisJejo Koola, Samuel B. Ho, Guanhua Chen, Amy M. Perkins, Aize Cao, Sharon E. Davis, Michael Edwin Matheny · 2019 · BMJ Open Gastroenterology
- Monitoring Approaches for a Pediatric Chronic Kidney Disease Machine Learning ModelKeith Morse, Conner Brown, Scott L. Fleming, Irene Todd, Austin Powell, W. Alton Russell, David Scheinker, Scott M. Sutherland, Jonathan Lu, Brendan Watkins et al. · 2022 · Applied Clinical Informatics
- The past, the present and the future of machine learning and artificial intelligence in anesthesia and Postanesthesia Care Units (PACU)Romain Pirracchio · 2022 · Minerva Anestesiologica
- Machine learning based prediction of low birth weight and its associated risk factors: Insights from the Bangladesh Demographic and Health Survey 2022Nourin Sultana, Zeba Afia, Isteaq Kabir Sifat, Shamsuz Zoha, Tajin Ahmed Jisa, Md. Kaderi Kibria · 2025 · PLOS Global Public Health
- Prediction and validation of survival rate of metachronous second primary lung cancer patients using machine learning classifiersPriyanka Ramesh, Shanthi Veerappapillai · 2023 · Smart Science
- AI and the next medical revolution: deep learning’s uncharted healthcare promiseL. B. Krithika, S. Vishnu, Evans Kotei, Ashok Gadde, Ganga Abhirup Kothamasu, Sri Charan Nallabantu, Guruprakash Jayabalasamy · 2024 · Engineering Research Express
- External validation of a paediatric Smart triage model for use in resource limited facilitiesJoyce Kigo, Stephen Kamau, Alishah Mawji, Paul Mwaniki, Dustin T. Dunsmuir, Yashodani Pillay, Cherri Zhang, Katija Pallot, Morris Ondieki Ogero, David Kibiwott Kimutai et al. · 2024 · PLOS Digital Health
- Discrimination and calibration performances of non-laboratory-based and laboratory-based cardiovascular risk predictions: a systematic reviewMegbaru Alemu, Sisay Mulugeta Alemu, Nasser Bagheri, Kinley Wangdi, Dan G. Chateau · 2025 · Open Heart
- Dynamic Updating of Psychosis Prediction Models in Individuals at Ultra-High Risk of PsychosisSimon Hartmann, Dominic Dwyer, Isabelle Scott, Cassandra Wannan, Josh Nguyen, Ashleigh Peng Lin, Christel Maria Middeldorp, Stephen James Wood, Alison Ruth Yung, Patrick D. McGorry et al. · 2025 · Biological Psychiatry Cognitive Neuroscience and Neuroimaging
- Development and External Validation of a Prediction Model for Colorectal Cancer Among Patients Awaiting Surveillance Colonoscopy Following PolypectomyTheodore R. Levin, Christopher D. Jensen, Amy R. Marks, David Schlessinger, Vincent X. Liu, Natalia V. Udaltsova, Jessica M. Badalov, Evan Layefsky, Douglas A. Corley, Joshua R. Nugent et al. · 2024 · Gastro Hep Advances
- Frideswide – An artificial intelligence deep learning algorithm for audits and quality improvement in the neurosurgical practiceMaksymilian Aleksander Brzezicki, Matthew David Kobetić, Sandra Neumann · 2017 · International Journal of Surgery
- Predicting Acute Kidney Injury: A Machine Learning Approach Using Electronic Health RecordsSheikh Shaugat Abdullah, Neda Rostamzadeh, Kamran Sedig, Amit X. Garg, Eric McArthur · 2020 · Information
- Learning to safely approve updates to machine learning algorithmsJean Feng · 2021 · ACM Conference on Health, Inference, and Learning (CHIL)
- Reducing readmissions in patients with cirrhosis: the time to act is nowArpan Patel, Jejo Koola, Michael Edwin Matheny · 2021 · Annals of Translational Medicine
- Machine learning-based analysis of hyperspectral images for automated sepsis diagnosisMaximilian Dietrich, Silvia Seidlitz, Nicholas Schreck, Manuel Wiesenfarth, Patrick Godau, Minu D. Tizabi, Jan Sellner, Marx, Sebastian, Samuel Knödler, Michael M. Allers et al. · 2021 · arXiv (Cornell University)
- Explainability in context: calibrating appropriate trust and reliance in artificial intelligenceSharon E. Davis, Megan Elizabeth Salwei · 2026 · Journal of the American Medical Informatics Association
- Analytical Performance Specifications for Input Variables: Investigation of the Model of End-Stage Liver DiseaseEline Sandvig Andersen, Richard Röttger, Claus Lohman Brasen, Ivan Brandslund · 2024 · Clinical Chemistry
- Validation of a Retrospective Computing Model for Mortality Risk in the Intensive Care UnitTan, Eugene M., Kashyap, Rahul, Olson, Ian C., O’Horo, John C. · 2020 · Mayo Clinic Proceedings: Innovations, Quality & Outcomes
- A Machine Learning Model for Acute Kidney Injury Prediction with Novel Kidney BiomarkersFathima Begum M, Subhashini Narayan · 2022 · International Conference on Next Generation Intelligent Systems (ICNGIS)
- Artificial intelligence in cardiothoracic surgery: current applications and future perspectivesRayan Ebnali Harari, Marco A. Zenati, ROGER DAGLIUS DIAS · 2023 · Elsevier eBooks
- Künstliche Intelligenz und akute NierenschädigungFabian Perschinka, Andreas Peer, Michael Joannidis · 2024 · Medizinische Klinik - Intensivmedizin und Notfallmedizin
- Balancing Performance and Interpretability: Selecting Features with Bootstrapped Ridge Regression.Matthew C Lenert, Colin G. Walsh · 2018 · Europe PMC (PubMed Central)
- A new expert system with diagnostic accuracy for pediatric upper respiratory conditionsShahram Yazdani, Carlos F. Lerner, Deepa Kulkarni, Audrey D. Kamzan, Ronald C. Henry · 2022 · Healthcare Analytics
- Monitoring performance of clinical artificial intelligence: a scoping review protocolEline Sandvig Andersen, Johan Baden Birk‐Korch, Richard Röttger, Claus Lohman Brasen, Ivan Brandslund, Jonna Skov Madsen · 2024 · JBI Evidence Synthesis
- Declining Clinical Utility of Tools for Predicting Sentinel Lymph Node Biopsy Status: A Single Institution Experience from 2000 to 2021Harrison M. Drebin, Nicholas R. Kurtansky, Sharif Hosein, Emily R. Nadelmann, Andrea Primiani Moy, Charlotte Eielson Ariyan, Danielle M. Bello, Mary Susan Brady, Daniel G. Coit, Michael Armando Marchetti et al. · 2024 · Annals of Surgical Oncology
- Evaluation of crowdsourced mortality prediction models as a framework for assessing AI in medicineTimothy R. Bergquist, Thomas Schaffter, Yao Yan, Thomas Von Yu, Justin Prosser, Jifan Gao, Guanhua Chen, Łukasz Charzewski, Zofia Nawalany, Ivan Brugere et al. · 2021 · medRxiv
- Diverging regulatory DNA in adaptive medical AI: US agility and EU accountability in lifecycle governanceJae Hyun Lee, Boram Choi, Kwunho Jeong, Sang Won Suh, Hwanseok Rhee, Ju Han Kim, Dae-Soon Son · 2026 · Frontiers in Medicine
- A hybrid adaptive approach for instance transfer learning with dynamic and imbalanced dataXiangzhou Zhang, Kang Liu, Borong Yuan, Hongnian Wang, Shaoyong Chen, Yunfei Xue, Weiqi Chen, Mei Liu, Yong Qiang Hu · 2022 · International Journal of Intelligent Systems
- Adapting a Risk Prediction Tool for Neonatal Opioid Withdrawal SyndromeThomas J. Reese, Andrew David Wiese, Ashley A. Leech, Henry John Domenico, Elizabeth A. McNeer, Sharon E. Davis, Michael Edwin Matheny, Adam T. Wright, Stephen W. Patrick · 2025 · PEDIATRICS
- A simplified prediction model for end-stage kidney disease in patients with diabetesToyoshi Inoguchi, Tasuku Okui, Chinatsu Nojiri, Erina Eto, Nao Hasuzawa, Yukihiro Inoguchi, Kentaro Ochi, Yuichi Takashi, Fujiyo Hiyama, Daisuke Nishida et al. · 2022 · Scientific Reports