Posts Tagged ‘Machine Learning’
Machine Learning Quantification of Pulmonary Regurgitation Fraction from Echocardiography.
Link: https://doi.org/10.1007/s00246-024-03511-y Authors: Cohen, Jennifer; Duong, Son Q; Arivazhagan, Naveen; Barris, David M; Bebiya, Surkhay; Castaldo, Rosalie; Gayanilo, Marjorie; Hopkins, Kali; Kailas, Maya; Kong, Grace; Ma, Xiye; Marshall, Molly; Paul, Erin A; Tan, Melanie; Yau, Jen Lie; Nadkarni, Girish N; Ezon, David Abstract: Assessment of pulmonary regurgitation (PR) guides treatment for patients with congenital heart…
Read MoreMachine learning derived serum creatinine trajectories in acute kidney injury in critically ill patients with sepsis.
Link: https://doi.org/10.1186/s13054-024-04935-x Authors: Takkavatakarn, Kullaya; Oh, Wonsuk; Chan, Lili; Hofer, Ira; Shawwa, Khaled; Kraft, Monica; Shah, Neomi; Kohli-Seth, Roopa; Nadkarni, Girish N; Sakhuja, Ankit Abstract: Current classification for acute kidney injury (AKI) in critically ill patients with sepsis relies only on its severity-measured by maximum creatinine which overlooks inherent complexities and longitudinal evaluation of this…
Read MoreA clustering approach to improve our understanding of the genetic and phenotypic complexity of chronic kidney disease.
Link: https://doi.org/10.1038/s41598-024-59747-4 Authors: Eoli, A; Ibing, S; Schurmann, C; Nadkarni, G N; Heyne, H O; Böttinger, E Abstract: Chronic kidney disease (CKD) is a complex disorder that causes a gradual loss of kidney function, affecting approximately 9.1% of the world’s population. Here, we use a soft-clustering algorithm to deconstruct its genetic heterogeneity. First, we selected…
Read MoreNeuropsychiatric complications of coronavirus disease 2019: Mount Sinai Health System cohort study.
Link: https://doi.org/10.1007/s00415-024-12370-9 Authors: Gururangan, Kapil; Peschansky, Veronica J; Van Hyfte, Grace; Agarwal, Parul; Blank, Leah J; Mathew, Brian; Goldstein, Jonathan; Kwon, Churl-Su; McCarthy, Louise; Cohen, Ariella; Chan, Andy Ho Wing; Deng, Pojen; Dhamoon, Mandip; Gutzwiller, Eveline; Hao, Qing; He, Celestine; Klenofsky, Britany; Lemus, Hernan Nicolas; Marcuse, Lara; Navis, Allison; Heredia Nunez, Wilson D; Luckey, Mallory…
Read MoreThe Association of Racial Residential Segregation and Survival After Out-of-Hospital Cardiac Arrest in the United States.
Link: https://doi.org/10.1101/2024.04.22.24306186 Authors: Abbott, Ethan E; Buckler, David G; Shekhar, Aditya C; Landry, Elizabeth; Abella, Benjamin S; Richardson, Lynne D; Zebrowski, Alexis M; , Abstract: Residential segregation has been identified as drivers of disparities in health outcomes, but further work is needed to understand this association with clinical outcomes for out-of-hospital cardiac arrest (OHCA). We…
Read MoreA Multimodal Video-Based AI Biomarker for Aortic Stenosis Development and Progression.
Link: https://doi.org/10.1001/jamacardio.2024.0595 Authors: Oikonomou, Evangelos K; Holste, Gregory; Yuan, Neal; Coppi, Andreas; McNamara, Robert L; Haynes, Norrisa A; Vora, Amit N; Velazquez, Eric J; Li, Fan; Menon, Venu; Kapadia, Samir R; Gill, Thomas M; Nadkarni, Girish N; Krumholz, Harlan M; Wang, Zhangyang; Ouyang, David; Khera, Rohan Abstract: Aortic stenosis (AS) is a major public health…
Read MoreIntegrated multiomics implicates dysregulation of ECM and cell adhesion pathways as drivers of severe COVID-associated kidney injury.
Link: https://doi.org/10.1101/2024.03.18.24304401 Authors: Anandakrishnan, Nanditha; Yi, Zhengzi; Sun, Zeguo; Liu, Tong; Haydak, Jonathan; Eddy, Sean; Jayaraman, Pushkala; DeFronzo, Stefanie; Saha, Aparna; Sun, Qian; Yang, Dai; Mendoza, Anthony; Mosoyan, Gohar; Wen, Huei Hsun; Schaub, Jennifer A; Fu, Jia; Kehrer, Thomas; Menon, Rajasree; Otto, Edgar A; Godfrey, Bradley; Suarez-Farinas, Mayte; Leffters, Sean; Twumasi, Akosua; Meliambro, Kristin; Charney,…
Read MoreA Multimodality Video-Based AI Biomarker For Aortic Stenosis Development And Progression.
Link: https://doi.org/10.1101/2023.09.28.23296234 Authors: Oikonomou, Evangelos K; Holste, Gregory; Yuan, Neal; Coppi, Andreas; McNamara, Robert L; Haynes, Norrisa; Vora, Amit N; Velazquez, Eric J; Li, Fan; Menon, Venu; Kapadia, Samir R; Gill, Thomas M; Nadkarni, Girish N; Krumholz, Harlan M; Wang, Zhangyang; Ouyang, David; Khera, Rohan Abstract: Aortic stenosis (AS) is a major public health challenge…
Read MoreLarge language models: a primer and gastroenterology applications.
Link: https://doi.org/10.1177/17562848241227031 Authors: Shahab, Omer; El Kurdi, Bara; Shaukat, Aasma; Nadkarni, Girish; Soroush, Ali Abstract: Over the past year, the emergence of state-of-the-art large language models (LLMs) in tools like ChatGPT has ushered in a rapid acceleration in artificial intelligence (AI) innovation. These powerful AI models can generate tailored and high-quality text responses to instructions…
Read MorePublication: Machine Learning Boosts Precision in Social Determinants of Health Analysis
Area-level social determinants of health (SDOH) based on patients’ ZIP codes or census tracts have been commonly used in research instead of individual SDOHs. However, using area-level SDOH measures as a substitute for individual SDOH measures may not be appropriate, especially in highly diverse urban neighbourhoods like New York City. On February 8, 2024, a…
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