Posts Tagged ‘Critical Care’
Deep Learning and Gastric Cancer: Systematic Review of AI-Assisted Endoscopy.
Link: https://doi.org/10.3390/diagnostics13243613 Authors: Klang, Eyal; Sourosh, Ali; Nadkarni, Girish N; Sharif, Kassem; Lahat, Adi Abstract: Gastric cancer (GC), a significant health burden worldwide, is typically diagnosed in the advanced stages due to its non-specific symptoms and complex morphological features. Deep learning (DL) has shown potential for improving and standardizing early GC detection. This systematic review…
Read MoreDevelopment of the ehive Digital Health App: Protocol for a Centralized Research Platform.
Link: https://doi.org/10.2196/49204 Authors: Hirten, Robert P; Danieletto, Matteo; Landell, Kyle; Zweig, Micol; Golden, Eddye; Orlov, Georgy; Rodrigues, Jovita; Alleva, Eugenia; Ensari, Ipek; Bottinger, Erwin; Nadkarni, Girish N; Fuchs, Thomas J; Fayad, Zahi A Abstract: The increasing use of smartphones, wearables, and connected devices has enabled the increasing application of digital technologies for research. Remote digital…
Read MorePeripheral Transcriptomics in Acute and Long-Term Kidney Dysfunction in SARS-CoV2 Infection.
Link: https://doi.org/10.1101/2023.10.25.23297469 Authors: Jayaraman, Pushkala; Rajagopal, Madhumitha; Paranjpe, Ishan; Liharska, Lora; Suarez-Farinas, Mayte; Thompson, Ryan; Del Valle, Diane Marie; Beckmann, Noam; Oh, Wonsuk; Gulamali, Faris F; Kauffman, Justin; Gonzalez-Kozlova, Edgar; Dellepiane, Sergio; Vasquez-Rios, George; Vaid, Akhil; Jiang, Joy; Chen, Annie; Sakhuja, Ankit; Chen, Steven; Kenigsberg, Ephraim; He, John Cijiang; Coca, Steven G; Chan, Lili; Schadt,…
Read MorePer- and polyfluoroalkyl substances (PFAS) exposure and thyroid cancer risk.
Link: https://doi.org/10.1016/j.ebiom.2023.104831 Authors: van Gerwen, Maaike; Colicino, Elena; Guan, Haibin; Dolios, Georgia; Nadkarni, Girish N; Vermeulen, Roel C H; Wolff, Mary S; Arora, Manish; Genden, Eric M; Petrick, Lauren M Abstract: Although per- and polyfluoroalkyl substances (PFAS) exposure is a potential contributor to the increasing thyroid cancer trend, limited studies have investigated the association between…
Read MoreDevelopment and Validation of a Formative Assessment Tool for Nephrology Fellows’ Clinical Reasoning.
Link: https://doi.org/10.2215/CJN.0000000000000315 Authors: Boyle, Suzanne M; Martindale, James; Parsons, Andrew S; Sozio, Stephen M; Hilburg, Rachel; Bahrainwala, Jehan; Chan, Lili; Stern, Lauren D; Warburton, Karen M Abstract: Diagnostic errors are commonly driven by failures in clinical reasoning. Deficits in clinical reasoning are common among graduate medical learners, including nephrology fellows. We created and validated an…
Read MoreImplications of the Use of Artificial Intelligence Predictive Models in Health Care Settings : A Simulation Study.
Link: https://doi.org/10.7326/M23-0949 Authors: Vaid, Akhil; Sawant, Ashwin; Suarez-Farinas, Mayte; Lee, Juhee; Kaul, Sanjeev; Kovatch, Patricia; Freeman, Robert; Jiang, Joy; Jayaraman, Pushkala; Fayad, Zahi; Argulian, Edgar; Lerakis, Stamatios; Charney, Alexander W; Wang, Fei; Levin, Matthew; Glicksberg, Benjamin; Narula, Jagat; Hofer, Ira; Singh, Karandeep; Nadkarni, Girish N Abstract: Substantial effort has been directed toward demonstrating uses of…
Read MoreClinical Informatics in Critical Care Medicine.
Link: https://doi.org/10.59249/WTTU3055 Authors: Nadkarni, Girish N; Sakhuja, Ankit Abstract: Continuous monitoring and treatment of patients in intensive care units generates vast amounts of data. Critical Care Medicine clinicians incorporate this continuously evolving data to make split-second, life or death decisions for management of these patients. Despite the abundance of data, it can be challenging to…
Read MoreDerivation and independent validation of kidneyintelX.dkd: A prognostic test for the assessment of diabetic kidney disease progression.
Link: https://doi.org/10.1111/dom.15273 Authors: Nadkarni, Girish N; Stapleton, Sharon; Takale, Dipti; Edwards, Katherine; Moran, Kara; Mosoyan, Gohar; Hansen, Michael K; Donovan, Michael J; Heerspink, Hiddo J L; Fleming, Fergus; Coca, Steven G Abstract: To develop and validate an updated version of KidneyIntelX (kidneyintelX.dkd) to stratify patients for risk of progression of diabetic kidney disease (DKD) stages…
Read MoreAutomated Identification of Heart Failure with Reduced Ejection Fraction using Deep Learning-based Natural Language Processing.
Link: https://doi.org/10.1101/2023.09.10.23295315 Authors: Nargesi, Arash A; Adejumo, Philip; Dhingra, Lovedeep; Rosand, Benjamin; Hengartner, Astrid; Coppi, Andreas; Benigeri, Simon; Sen, Sounok; Ahmad, Tariq; Nadkarni, Girish N; Lin, Zhenqiu; Ahmad, Faraz S; Krumholz, Harlan M; Khera, Rohan Abstract: The lack of automated tools for measuring care quality has limited the implementation of a national program to assess…
Read MoreDevelopment of a decentralized cohort for studying post-acute sequelae of COVID-19 in India in the Data4life Study.
Link: https://doi.org/10.1038/s43856-023-00349-y Authors: Schilling, Josh; Shokouhi, Sepideh; Montgomery, Aisha; Nadkarni, Girish N; Charney, Alexander W; Shanker, Anil; Singh, Rajbir; Jhaveri, Kenar; Singh, Karandeep S; Khadke, Prashant; Jain, Praduman Abstract: Decentralized, digital health studies can provide real-world evidence of the lasting effects of COVID-19 on physical, socioeconomic, psychological, and social determinant factors of health in India. Existing…
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