Posts Tagged ‘4research’
Economic Impact of Postoperative Urinary Retention in the US Hospital Setting.
Link: https://doi.org/10.36469/001c.121641 Authors: Wang, Weijia; Marks-Anglin, Arielle; Turzhitsky, Vladimir; Mark, Robert J; Otero Rosales, Aurelio; Bailey, Nathaniel W; Jiang, Yiling; Abueg, Joseph; Hofer, Ira S; Weingarten, Toby N Abstract:
Read MorePerceptions Related to Careers in Nephrology on Student Doctor Network Using Natural Language Processing.
Link: https://doi.org/10.1016/j.ekir.2024.07.030 Authors: Takkavatakarn, Kullaya; Dai, Yang; Sridhar, Abhinaya; Borvick, Miriam; Ehrenfeld, Ricki; Cepin, Cristina Liriano; Nadkarni, Girish N; Chan, Lili Abstract:
Read MoreA foundation model for clinician-centered drug repurposing.
Link: https://doi.org/10.1101/2023.03.19.23287458 Authors: Huang, Kexin; Chandak, Payal; Wang, Qianwen; Havaldar, Shreyas; Vaid, Akhil; Leskovec, Jure; Nadkarni, Girish; Glicksberg, Benjamin S; Gehlenborg, Nils; Zitnik, Marinka Abstract: Drug repurposing – identifying new therapeutic uses for approved drugs – is often serendipitous and opportunistic, expanding the use of drugs for new diseases. The clinical utility of drug repurposing…
Read MoreDevelopment and Validation of a Policy Tree Approach for Optimizing Intravenous Fluids in Critically Ill Patients with Sepsis and Acute Kidney Injury.
Link: https://doi.org/10.1101/2024.08.06.24311556 Authors: Oh, Wonsuk; Takkavatakarn, Kullaya; Kittrell, Hannah; Shawwa, Khaled; Gomez, Hernando; Sawant, Ashwin S; Tandon, Pranai; Kumar, Gagan; Sterling, Michael; Hofer, Ira; Chan, Lili; Oropello, John; Kohli-Seth, Roopa; Charney, Alexander W; Kraft, Monica; Kovatch, Patricia; Kellum, John A; Nadkarni, Girish N; Sakhuja, Ankit Abstract: Intravenous fluids are mainstay of management of acute kidney…
Read MoreA foundational transformer leveraging full night, multichannel sleep study data accurately classifies sleep stages.
Link: https://doi.org/10.1101/2024.08.02.24311417 Authors: Fox, Benjamin; Jiang, Joy; Wickramaratne, Sajila; Kovatch, Patricia; Suarez-Farinas, Mayte; Shah, Neomi A; Parekh, Ankit; Nadkarni, Girish N Abstract: To investigate whether a foundational transformer model using 8-hour, multichannel data from polysomnograms can outperform existing artificial intelligence (AI) methods for sleep stage classification. We utilized the Sleep Heart Health Study (SHHS) visits…
Read MoreRacial, Ethnic, and Sex Differences in Incidence-Based Mortality of Aggregate Upper Gastrointestinal Cancers.
Link: https://doi.org/10.14309/ctg.0000000000000745 Authors: Malick, Alyyah; Ferris, Jennifer S; Hur, Chin; Abrams, Julian A; Soroush, Ali Abstract: Current strategies for upper gastrointestinal (UGI) cancer screening primarily target cancer-specific risk, with the strongest focus on esophageal adenocarcinoma (EAC). However, all UGI cancers are amendable to screening and early detection with an upper endoscopic examination. This study assesses…
Read MoreRole of artificial intelligence in critical care nutrition support and research.
Link: https://doi.org/10.1002/ncp.11194 Authors: Kittrell, Hannah D; Shaikh, Ahmed; Adintori, Peter A; McCarthy, Paul; Kohli-Seth, Roopa; Nadkarni, Girish N; Sakhuja, Ankit Abstract: Nutrition plays a key role in the comprehensive care of critically ill patients. Determining optimal nutrition strategy, however, remains a subject of intense debate. Artificial intelligence (AI) applications are becoming increasingly common in medicine,…
Read MoreEvaluating prompt engineering on GPT-3.5’s performance in USMLE-style medical calculations and clinical scenarios generated by GPT-4.
Link: https://doi.org/10.1038/s41598-024-66933-x Authors: Patel, Dhavalkumar; Raut, Ganesh; Zimlichman, Eyal; Cheetirala, Satya Narayan; Nadkarni, Girish N; Glicksberg, Benjamin S; Apakama, Donald U; Bell, Elijah J; Freeman, Robert; Timsina, Prem; Klang, Eyal Abstract: This study was designed to assess how different prompt engineering techniques, specifically direct prompts, Chain of Thought (CoT), and a modified CoT approach, influence…
Read MoreClosing the gap between open-source and commercial large language models for medical evidence summarization.
Link: https://doi.org/arXiv:2408.00588v1 Authors: Zhang, Gongbo; Jin, Qiao; Zhou, Yiliang; Wang, Song; Idnay, Betina R; Luo, Yiming; Park, Elizabeth; Nestor, Jordan G; Spotnitz, Matthew E; Soroush, Ali; Campion, Thomas; Lu, Zhiyong; Weng, Chunhua; Peng, Yifan Abstract: Large language models (LLMs) hold great promise in summarizing medical evidence. Most recent studies focus on the application of proprietary…
Read MoreAdvancing Genetic Testing in Kidney Diseases: Report From a National Kidney Foundation Working Group.
Link: https://doi.org/S0272-6386(24)00871-0 Authors: Franceschini, Nora; Feldman, David L; Berg, Jonathan S; Besse, Whitney; Chang, Alexander R; Dahl, Neera K; Gbadegesin, Rasheed; Pollak, Martin R; Rasouly, Hila Milo; Smith, Richard J H; Winkler, Cheryl A; Gharavi, Ali G; , Abstract: About 37 million people in the United States have chronic kidney disease, a disease that encompasses…
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