Posts Tagged ‘Bioinformatics’
Local large language models for privacy-preserving accelerated review of historic echocardiogram reports.
Link: https://doi.org/10.1093/jamia/ocae085 Authors: Vaid, Akhil; Duong, Son Q; Lampert, Joshua; Kovatch, Patricia; Freeman, Robert; Argulian, Edgar; Croft, Lori; Lerakis, Stamatios; Goldman, Martin; Khera, Rohan; Nadkarni, Girish N Abstract: The study developed framework that leverages an open-source Large Language Model (LLM) to enable clinicians to ask plain-language questions about a patient’s entire echocardiogram report history. This…
Read MoreTime-to-Event Genome-Wide Association Study for Incident Cardiovascular Disease in People With Type 2 Diabetes.
Link: https://doi.org/10.2337/dc23-2274 Authors: Kwak, Soo Heon; Hernandez-Cancela, Ryan B; DiCorpo, Daniel A; Condon, David E; Merino, Jordi; Wu, Peitao; Brody, Jennifer A; Yao, Jie; Guo, Xiuqing; Ahmadizar, Fariba; Meyer, Mariah; Sincan, Murat; Mercader, Josep M; Lee, Sujin; Haessler, Jeffrey; Vy, Ha My T; Lin, Zhaotong; Armstrong, Nicole D; Gu, Shaopeng; Tsao, Noah L; Lange, Leslie…
Read MoreDeep Learning-Based Electrocardiogram Analysis Predicts Biventricular Dysfunction and Dilation in Congenital Heart Disease.
Link: https://doi.org/S0735-1097(24)07676-9 Authors: Mayourian, Joshua; Gearhart, Addison; La Cava, William G; Vaid, Akhil; Nadkarni, Girish N; Triedman, John K; Powell, Andrew J; Wald, Rachel M; Valente, Anne Marie; Geva, Tal; Duong, Son Q; Ghelani, Sunil J Abstract: Artificial intelligence-enhanced electrocardiogram (AI-ECG) analysis shows promise to detect biventricular pathophysiology. However, AI-ECG analysis remains underexplored in congenital…
Read MorePeripheral Transcriptomics in Acute and Long-Term Kidney Dysfunction in SARS-CoV2 Infection.
Link: https://doi.org/10.34067/KID.0000000727 Authors: Jayaraman, Pushkala; Rajagopal, Madhumitha; Paranjpe, Ishan; Suarez-Farinas, Mayte; Liharska, Lora; Thompson, Ryan; Del Valle, Diane Marie; Beckmann, Noam; Lund, Anina N; Gownivaripally, Pooja; Oh, Wonsuk; Gulamali, Faris F; Kauffman, Justin; Gonzalez-Kozlova, Edgar; Dellepiane, Sergio; Vasquez-Rios, George; Vaid, Akhil; Jiang, Joy; Fox, Ben; Sakhuja, Ankit; Chen, Steven; Kenigsberg, Ephraim; He, John Cijiang; Coca,…
Read MoreSex Differences in Long COVID.
Link: https://doi.org/10.1001/jamanetworkopen.2024.55430 Authors: Shah, Dimpy P; Thaweethai, Tanayott; Karlson, Elizabeth W; Bonilla, Hector; Horne, Benjamin D; Mullington, Janet M; Wisnivesky, Juan P; Hornig, Mady; Shinnick, Daniel J; Klein, Jonathan D; Erdmann, Nathaniel B; Brosnahan, Shari B; Lee-Iannotti, Joyce K; Metz, Torri D; Maughan, Christine; Ofotokun, Ighovwerha; Reeder, Harrison T; Stiles, Lauren E; Shaukat, Aasma; Hess,…
Read MoreVisual-textual integration in LLMs for medical diagnosis: A preliminary quantitative analysis.
Link: https://doi.org/10.1016/j.csbj.2024.12.019 Authors: Agbareia, Reem; Omar, Mahmud; Soffer, Shelly; Glicksberg, Benjamin S; Nadkarni, Girish N; Klang, Eyal Abstract: Visual data from images is essential for many medical diagnoses. This study evaluates the performance of multimodal Large Language Models (LLMs) in integrating textual and visual information for diagnostic purposes. We tested GPT-4o and Claude Sonnet 3.5…
Read More2024 Update of the RECOVER-Adult Long COVID Research Index.
Link: https://doi.org/10.1001/jama.2024.24184 Authors: Geng, Linda N; Erlandson, Kristine M; Hornig, Mady; Letts, Rebecca; Selvaggi, Caitlin; Ashktorab, Hassan; Atieh, Ornina; Bartram, Logan; Brim, Hassan; Brosnahan, Shari B; Brown, Jeanette; Castro, Mario; Charney, Alexander; Chen, Peter; Deeks, Steven G; Erdmann, Nathaniel; Flaherman, Valerie J; Ghamloush, Maher A; Goepfert, Paul; Goldman, Jason D; Han, Jenny E; Hess, Rachel;…
Read MoreGenerating credible referenced medical research: A comparative study of openAI’s GPT-4 and Google’s gemini.
Link: https://doi.org/S0010-4825(24)01630-5 Authors: Omar, Mahmud; Nassar, Saleh; Hijazi, Kareem; Glicksberg, Benjamin S; Nadkarni, Girish N; Klang, Eyal Abstract: Amidst the increasing use of AI in medical research, this study specifically aims to assess and compare the accuracy and credibility of openAI’s GPT-4 and Google’s Gemini in their ability to generate medical research introductions, focusing on…
Read MoreUse of a large language model (LLM) for ambulance dispatch and triage.
Link: https://doi.org/S0735-6757(24)00715-0 Authors: Shekhar, Aditya C; Kimbrell, Joshua; Saharan, Aaryan; Stebel, Jacob; Ashley, Evan; Abbott, Ethan E Abstract: Large language models (LLMs) have grown in popularity in recent months and have demonstrated advanced clinical reasoning ability. Given the need to prioritize the sickest patients requesting emergency medical services (EMS), we attempted to identify if an…
Read MoreDeep Learning for Contrast Enhanced Mammography – A Systematic Review.
Link: https://doi.org/10.1016/j.acra.2024.11.035 Authors: Sorin, Vera; Sklair-Levy, Miri; Glicksberg, Benjamin S; Konen, Eli; Nadkarni, Girish N; Klang, Eyal Abstract: Contrast-enhanced mammography (CEM) is a relatively novel imaging technique that enables both anatomical and functional breast imaging, with improved diagnostic performance compared to standard 2D mammography. The aim of this study is to systematically review the literature…
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