Posts Tagged ‘Critical Care’
Ensemble Modeling of Multimodal Electrocardiogram and Echocardiogram Data Improves Quantitative Assessment of Right Ventricular Function.
Link: https://doi.org/10.1016/j.jacadv.2024.101186 Authors: Duong, Son Q; Dominy, Calista L; Lampert, Joshua; Singh, Supreet; Croft, Lori; Zaidi, Ali N; Lerakis, Stamatios; Goldman, Martin E; Vaid, Akhil; Nadkarni, Girish N Abstract:
Read MoreDistinguishing neonatal culture-negative sepsis from rule-out sepsis with artificial intelligence-derived graphs.
Link: https://doi.org/10.1038/s41390-024-03458-z Authors: Holmes, Emma; Kauffman, Justin; Juliano, Courtney; Duchon, Jennifer; Nadkarni, Girish N Abstract: Novel artificial intelligence methods can aide in identification of cases of conditions using only unstructured electronic health record data. This graph-based method compares comprehensive electronic health records among neonates using temporal data. This provides a scalable solution to distinguish culture…
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 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…
Read MoreApplications of large language models in psychiatry: a systematic review.
Link: https://doi.org/10.3389/fpsyt.2024.1422807 Authors: Omar, Mahmud; Soffer, Shelly; Charney, Alexander W; Landi, Isotta; Nadkarni, Girish N; Klang, Eyal Abstract: With their unmatched ability to interpret and engage with human language and context, large language models (LLMs) hint at the potential to bridge AI and human cognitive processes. This review explores the current application of LLMs, such…
Read MoreStress Ulcer Prophylaxis during Invasive Mechanical Ventilation.
Link: https://doi.org/10.1056/NEJMoa2404245 Authors: Cook, Deborah; Deane, Adam; Lauzier, François; Zytaruk, Nicole; Guyatt, Gordon; Saunders, Lois; Hardie, Miranda; Heels-Ansdell, Diane; Alhazzani, Waleed; Marshall, John; Muscedere, John; Myburgh, John; English, Shane; Arabi, Yaseen M; Ostermann, Marlies; Knowles, Serena; Hammond, Naomi; Byrne, Kathleen M; Chapman, Marianne; Venkatesh, Balasubramanian; Young, Paul; Rajbhandari, Dorrilyn; Poole, Alexis; Al-Fares, Abdulrahman; Reis, Gilmar;…
Read MoreAccurate prediction of neurologic changes in critically ill infants using pose AI.
Link: https://doi.org/10.1101/2024.04.17.24305953 Authors: Gleason, Alec; Richter, Florian; Beller, Nathalia; Arivazhagan, Naveen; Feng, Rui; Holmes, Emma; Glicksberg, Benjamin S; Morton, Sarah U; La Vega-Talbott, Maite; Fields, Madeline; Guttmann, Katherine; Nadkarni, Girish N; Richter, Felix Abstract: Infant alertness and neurologic changes can reflect life-threatening pathology but are assessed by exam, which can be intermittent and subjective. Reliable,…
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