Posts Tagged ‘Machine Learning’
Metaanalysis of Multivessel vs Culprit Artery Only Percutaneous Coronary Intervention in ST Elevation Myocardial Infarction.
Link: https://doi.org/10.31486/toj.18.0033 Authors: Garcia, Daniel C; Benjo, Alexandre M; White, Christopher J; Cardoso, Rhanderson N; Macedo, Francisco Y B; Schob, Alan H; El-Hayek, Georges E; Nadkarni, Girish N; Aziz, Emad F; Patel, Rajan A G Abstract:
Read MoreContinuous Kidney Replacement Therapy of the Future: Innovations in Information Technology, Data Analytics, and Quality Assurance Systems.
Link: https://doi.org/S1548-5595(21)00031-8 Authors: Neyra, Javier A; Nadkarni, Girish N Abstract: Continuous kidney replacement therapy is commonly used in the critically ill population. Despite the recent development in continuous kidney replacement therapy technology and clinical informatics, many aspects of continuous kidney replacement therapy delivery are still not fully standardized, and quality assurance programs for the provision…
Read MoreThe Future of Artificial Intelligence and Machine Learning in Kidney Health and Disease.
Link: https://doi.org/S1548-5595(22)00193-8 Authors: Nadkarni, Girish N; Kotanko, Peter Abstract:
Read MoreLumasiran, an RNAi Therapeutic for Primary Hyperoxaluria Type 1.
Link: https://doi.org/10.1056/NEJMoa2021712 Authors: Garrelfs, Sander F; Frishberg, Yaacov; Hulton, Sally A; Koren, Michael J; O’Riordan, William D; Cochat, Pierre; Deschênes, Georges; Shasha-Lavsky, Hadas; Saland, Jeffrey M; Van’t Hoff, William G; Fuster, Daniel G; Magen, Daniella; Moochhala, Shabbir H; Schalk, Gesa; Simkova, Eva; Groothoff, Jaap W; Sas, David J; Meliambro, Kristin A; Lu, Jiandong; Sweetser, Marianne…
Read MoreAuthor Correction: Metabolic gatekeeper function of B-lymphoid transcription factors.
Link: https://doi.org/10.1038/s41586-018-0164-5 Authors: Chan, Lai N; Chen, Zhengshan; Braas, Daniel; Lee, Jae-Woong; Xiao, Gang; Geng, Huimin; Cosgun, Kadriye Nehir; Hurtz, Christian; Shojaee, Seyedmehdi; Cazzaniga, Valeria; Schjerven, Hilde; Ernst, Thomas; Hochhaus, Andreas; Kornblau, Steven M; Konopleva, Marina; Pufall, Miles A; Cazzaniga, Giovanni; Liu, Grace J; Milne, Thomas A; Koeffler, H Phillip; Ross, Theodora S; Sánchez-García, Isidro;…
Read MoreAnticoagulation in Patients With COVID-19: JACC Review Topic of the Week.
Link: https://doi.org/S0735-1097(22)00007-9 Authors: Farkouh, Michael E; Stone, Gregg W; Lala, Anuradha; Bagiella, Emilia; Moreno, Pedro R; Nadkarni, Girish N; Ben-Yehuda, Ori; Granada, Juan F; Dressler, Ovidiu; Tinuoye, Elizabeth O; Granada, Carlos; Bustamante, Jessica; Peyra, Carlos; Godoy, Lucas C; Palacios, Igor F; Fuster, Valentin Abstract: Clinical, laboratory, and autopsy findings support an association between coronavirus disease-2019…
Read MoreNeighborhood Childhood Opportunity, Race/Ethnicity, and Surgical Outcomes in Children With Congenital Heart Disease.
Link: https://doi.org/S0735-1097(23)06037-0 Authors: Duong, Son Q; Elfituri, Mahmud O; Zaniletti, Isabella; Ressler, Robert W; Noelke, Clemens; Gelb, Bruce D; Pass, Robert H; Horowitz, Carol R; Seiden, Howard S; Anderson, Brett R Abstract: Racial and ethnic disparities in outcomes for children with congenital heart disease (CHD) coexist with disparities in educational, environmental, and economic opportunity. We…
Read MoreThe authors reply.
Link: https://doi.org/S0085-2538(20)31039-5 Authors: Paranjpe, Ishan; Nadkarni, Girish N Abstract:
Read MoreCost-Effective Approach to the Laparoscopic Appendectomy : Balancing Disposable Instrument Cost With Operative Time.
Link: https://doi.org/10.1177/0003134820923337 Authors: DeMare, Alexander M; Luehmann, Natalie C; Kawak, Samer; Abbott, Emily E; Long, Jordan; Akay, Begum; Brahmamdam, Pavan; Iacco, Anthony A; Novotny, Nathan M Abstract: Surgeons can help reduce health care spending by selecting affordable and efficient instruments. The laparoscopic appendectomy (LA) is commonly performed and can serve as a model for improving…
Read MoreFederated Learning in Health care Using Structured Medical Data.
Link: https://doi.org/S2949-8139(22)00008-8 Authors: Oh, Wonsuk; Nadkarni, Girish N Abstract: The success of machine learning-based studies is largely subjected to accessing a large amount of data. However, accessing such data is typically not feasible within a single health system/hospital. Although multicenter studies are the most effective way to access a vast amount of data, sharing data…
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