Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1161/01.CIR.0000148961.44397.C7 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Multimodal large language models address clinical queries in laryngeal cancer surgery: a comparative evaluation of image interpretation across different models.
Int J Surg
January 2025
Department of Otolaryngology Head and Neck Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, China.
Background And Objectives: Recent advances in multimodal large language models (MLLMs) have shown promise in medical image interpretation, yet their utility in surgical contexts remains unexplored. This study evaluates six MLLMs' performance in interpreting diverse imaging modalities for laryngeal cancer surgery.
Methods: We analyzed 169 images (X-rays, CT scans, laryngoscopy, and pathology findings) from 50 patients using six state-of-the-art MLLMs.
Termination of Resuscitation Rules for In-Hospital Cardiac Arrest.
JAMA Intern Med
January 2025
Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Importance: There are no validated decision rules for terminating resuscitation during in-hospital cardiac arrest. Decision rules may guide termination and prevent inappropriate early termination of resuscitation.
Objective: To develop and validate termination of resuscitation rules for in-hospital cardiac arrest.
Predicting Individual Pain Sensitivity Using a Novel Cortical Biomarker Signature.
JAMA Neurol
January 2025
Department of Neural and Pain Sciences, University of Maryland School of Dentistry, Baltimore.
Importance: Biomarkers would greatly assist decision-making in the diagnosis, prevention, and treatment of chronic pain.
Objective: To undertake analytical validation of a sensorimotor cortical biomarker signature for pain consisting of 2 measures: sensorimotor peak alpha frequency (PAF) and corticomotor excitability (CME).
Design, Setting, And Participants: This cohort study at a single center (Neuroscience Research Australia) recruited participants from November 2020 to October 2022 through notices placed online and at universities across Australia.
Comparative Analysis of Machine Learning Algorithms Used for Translating Aptamer-Antigen Binding Kinetic Profiles to Diagnostic Decisions.
ACS Sens
January 2025
Department of Engineering Physics, McMaster University, 1280 Main Street West, L8S 4L8 Hamilton, Ontario, Canada.
Current approaches for classifying biosensor data in diagnostics rely on fixed decision thresholds based on receiver operating characteristic (ROC) curves, which can be limited in accuracy for complex and variable signals. To address these limitations, we developed a framework that facilitates the application of machine learning (ML) to diagnostic data for the binary classification of clinical samples, when using real-time electrochemical measurements. The framework was applied to a real-time multimeric aptamer assay (RT-MAp) that captures single-frequency (12.
View Article and Find Full Text PDFEffect of Ozoralizumab Administration with or without Methotrexate in Patients with Rheumatoid Arthritis: A Post-Hoc Analysis.
Rheumatol Ther
January 2025
Saitama Medical University, 38 Morohongo, Moroyama-machi, Iruma-gun, Saitama, 350-0495, Japan.
Introduction: Ozoralizumab (OZR) is a novel tumor necrosis factor (TNF) inhibitor that was launched in Japan for treating patients with rheumatoid arthritis (RA) who have had an inadequate response to existing therapies. This post-hoc analysis aimed to compare the efficacy of OZR administered without methotrexate (MTX) with placebo or OZR administration in combination with MTX.
Methods: We analyzed the OZR group (30 mg) in the NATSUZORA trial (non-MTX, open trial) (OZR group; n = 94) and the placebo group (MTX group; n = 75) and the 30-mg OZR group (OZR + MTX group; n = 152) in the OHZORA trial (combined MTX, double-blind trial), and the covariates were adjusted by propensity score matching.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!