Posts Tagged ‘4research’
Persistent Lugol-unstained Lesions: A New Predictor of Progression to Esophageal Squamous Cell Carcinoma?
Link: https://doi.org/10.1016/j.cgh.2024.11.020 Authors: Soroush, Ali; Dawsey, Sanford M Abstract:
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 MoreThe role of deep learning in diagnostic imaging of spondyloarthropathies: a systematic review.
Link: https://doi.org/10.1007/s00330-024-11261-x Authors: Omar, Mahmud; Watad, Abdulla; McGonagle, Dennis; Soffer, Shelly; Glicksberg, Benjamin S; Nadkarni, Girish N; Klang, Eyal Abstract: Diagnostic imaging is an integral part of identifying spondyloarthropathies (SpA), yet the interpretation of these images can be challenging. This review evaluated the use of deep learning models to enhance the diagnostic accuracy of SpA…
Read MoreExploring the Role of Large Language Models in Melanoma: A Systematic Review.
Link: https://doi.org/10.3390/jcm13237480 Authors: Zarfati, Mor; Nadkarni, Girish N; Glicksberg, Benjamin S; Harats, Moti; Greenberger, Shoshana; Klang, Eyal; Soffer, Shelly Abstract:
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…
Read MoreExtracting International Classification of Diseases Codes from Clinical Documentation using Large Language Models.
Link: https://doi.org/10.1055/a-2491-3872 Authors: Simmons, Ashley; Takkavatakarn, Kullaya; McDougal, Megan; Dilcher, Brian; Pincavitch, Jami; Meadows, Lukas; Kauffman, Justin; Klang, Eyal; Wig, Rebecca; Smith, Gordon Stephen; Soroush, Ali; Freeman, Robert; Apakama, Donald; Charney, Alexander; Kohli-Seth, Roopa; Nadkarni, Girish; Sakhuja, Ankit Abstract: Large language models (LLMs) have shown promise in various professional fields, including medicine and law. However,…
Read MoreA Primer on Reinforcement Learning in Medicine for Clinicians.
Link: https://doi.org/10.1038/s41746-024-01316-0 Authors: Jayaraman, Pushkala; Desman, Jacob; Sabounchi, Moein; Nadkarni, Girish N; Sakhuja, Ankit Abstract: Reinforcement Learning (RL) is a machine learning paradigm that enhances clinical decision-making for healthcare professionals by addressing uncertainties and optimizing sequential treatment strategies. RL leverages patient-data to create personalized treatment plans, improving outcomes and resource efficiency. This review introduces RL…
Read MoreBenchmarking Large Language Models for Extraction of International Classification of Diseases Codes from Clinical Documentation.
Link: https://doi.org/10.1101/2024.04.29.24306573 Authors: Simmons, Ashley; Takkavatakarn, Kullaya; McDougal, Megan; Dilcher, Brian; Pincavitch, Jami; Meadows, Lukas; Kauffman, Justin; Klang, Eyal; Wig, Rebecca; Smith, Gordon; Soroush, Ali; Freeman, Robert; Apakama, Donald J; Charney, Alexander W; Kohli-Seth, Roopa; Nadkarni, Girish N; Sakhuja, Ankit Abstract: Healthcare reimbursement and coding is dependent on accurate extraction of International Classification of Diseases-tenth…
Read MoreLarge language models in medicine: A review of current clinical trials across healthcare applications.
Link: https://doi.org/10.1371/journal.pdig.0000662 Authors: Omar, Mahmud; Nadkarni, Girish N; Klang, Eyal; Glicksberg, Benjamin S Abstract: This review analyzes current clinical trials investigating large language models’ (LLMs) applications in healthcare. We identified 27 trials (5 published and 22 ongoing) across 4 main clinical applications: patient care, data handling, decision support, and research assistance. Our analysis reveals diverse…
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