Posts Tagged ‘LLM-NLP’
Utilizing large language models in breast cancer management: systematic review.
Link: https://doi.org/10.1007/s00432-024-05678-6 Authors: Sorin, Vera; Glicksberg, Benjamin S; Artsi, Yaara; Barash, Yiftach; Konen, Eli; Nadkarni, Girish N; Klang, Eyal Abstract: Despite advanced technologies in breast cancer management, challenges remain in efficiently interpreting vast clinical data for patient-specific insights. We reviewed the literature on how large language models (LLMs) such as ChatGPT might offer solutions in…
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 MoreEvaluating the role of ChatGPT in gastroenterology: a comprehensive systematic review of applications, benefits, and limitations.
Link: https://doi.org/10.1177/17562848231218618 Authors: Klang, Eyal; Sourosh, Ali; Nadkarni, Girish N; Sharif, Kassem; Lahat, Adi Abstract: The integration of artificial intelligence (AI) into healthcare has opened new avenues for enhancing patient care and clinical research. In gastroenterology, the potential of AI tools, specifically large language models like ChatGPT, is being explored to understand their utility and…
Read MoreAutomated Identification of Heart Failure with Reduced Ejection Fraction using Deep Learning-based Natural Language Processing.
Link: https://doi.org/10.1101/2023.09.10.23295315 Authors: Nargesi, Arash A; Adejumo, Philip; Dhingra, Lovedeep; Rosand, Benjamin; Hengartner, Astrid; Coppi, Andreas; Benigeri, Simon; Sen, Sounok; Ahmad, Tariq; Nadkarni, Girish N; Lin, Zhenqiu; Ahmad, Faraz S; Krumholz, Harlan M; Khera, Rohan Abstract: The lack of automated tools for measuring care quality has limited the implementation of a national program to assess…
Read MoreDevelopment of a decentralized cohort for studying post-acute sequelae of COVID-19 in India in the Data4life Study.
Link: https://doi.org/10.1038/s43856-023-00349-y Authors: Schilling, Josh; Shokouhi, Sepideh; Montgomery, Aisha; Nadkarni, Girish N; Charney, Alexander W; Shanker, Anil; Singh, Rajbir; Jhaveri, Kenar; Singh, Karandeep S; Khadke, Prashant; Jain, Praduman Abstract: Decentralized, digital health studies can provide real-world evidence of the lasting effects of COVID-19 on physical, socioeconomic, psychological, and social determinant factors of health in India. Existing…
Read MoreA study of gene expression in the living human brain.
Link: https://doi.org/10.1101/2023.04.21.23288916 Authors: Liharska, Lora E; Park, You Jeong; Ziafat, Kimia; Wilkins, Lillian; Silk, Hannah; Linares, Lisa M; Vornholt, Eric; Sullivan, Brendan; Cohen, Vanessa; Kota, Prashant; Feng, Claudia; Cheng, Esther; Moya, Emily; Thompson, Ryan C; Johnson, Jessica S; Rieder, Marysia-Kolbe; Huang, Jia; Scarpa, Joseph; Hashemi, Alice; Polanco, Jairo; Levin, Matthew A; Nadkarni, Girish N; Sebra,…
Read MoreNatural Language Processing Can Automate Extraction of Barrett’s Esophagus Endoscopy Quality Metrics.
Link: https://doi.org/10.1101/2023.07.11.23292529 Authors: Soroush, Ali; Diamond, Courtney J; Zylberberg, Haley M; May, Benjamin; Tatonetti, Nicholas; Abrams, Julian A; Weng, Chunhua Abstract: To develop an automated natural language processing (NLP) method for extracting high-fidelity Barrett’s Esophagus (BE) endoscopic surveillance and treatment data from the electronic health record (EHR). Patients who underwent BE-related endoscopies between 2016 and…
Read MoreDepression and anxiety are associated with an increased risk of infection, revision, and reoperation following total hip or knee arthroplasty.
Link: https://doi.org/10.1302/0301-620X.105B5.BJJ-2022-1123.R1 Authors: Harmer, Joshua R; Wyles, Cody C; Duong, Stephanie Q; Morgan Iii, Robert J; Maradit-Kremers, Hilal; Abdel, Matthew P Abstract: The aim of this study was to determine the prevalence of depressive and anxiety disorders prior to total hip (THA) and total knee arthroplasty (TKA) and to assess their impact on the rates…
Read MoreMajor cardiovascular events and subsequent risk of kidney failure with replacement therapy: a CKD Prognosis Consortium study.
Link: https://doi.org/10.1093/eurheartj/ehac825 Authors: Mark, Patrick B; Carrero, Juan J; Matsushita, Kunihiro; Sang, Yingying; Ballew, Shoshana H; Grams, Morgan E; Coresh, Josef; Surapaneni, Aditya; Brunskill, Nigel J; Chalmers, John; Chan, Lili; Chang, Alex R; Chinnadurai, Rajkumar; Chodick, Gabriel; Cirillo, Massimo; de Zeeuw, Dick; Evans, Marie; Garg, Amit X; Gutierrez, Orlando M; Heerspink, Hiddo J L; Heine,…
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 More