Results 181 to 190 of about 313,138 (345)

Assessing Large Language Models for Early Article Identification in Otolaryngology—Head and Neck Surgery Systematic Reviews

open access: yesHealth Care Science, EarlyView.
The search criteria for three systematic reviews were replicated using ChatGPTv3.5 and Bard. Outputs included author, title, publication year, and journal and were cross‐referenced with medical databases and compared to the original reviews. Large language models failed to replicate peer‐reviewed methodologies.
Ajibola B. Bakare   +4 more
wiley   +1 more source

Turbo-Muon: Accelerating Orthogonality-Based Optimization with Pre-Conditioning

open access: green
Boissin, Thibaut   +3 more
openalex   +1 more source

A Pilot Study on the Accuracy of Large Language Models (ChatGPT, Google Bard, and Microsoft Copilot) for Selecting the Correct Modality for Musculoskeletal Clinical Cases According to the ACR's Appropriateness Criteria

open access: yesiRADIOLOGY, EarlyView.
In this paper we demonstrate that AI models can determine the most appropriate imagining modality for a given musculoskeletal clinical scenario in up to 89% of cases, with some models outperforming others. ABSTRACT Background Large language models (LLMs) are becoming more commonly used in many aspects of radiology.
Thomas Saliba   +2 more
wiley   +1 more source

Diagnostic Performance of Ultrasound to Evaluate Mild Hip Osteoarthritis: Comparison With Radiography and MRI

open access: yesJournal of Clinical Ultrasound, EarlyView.
A moderate‐sized femoral neck osteophyte (white arrow) in US (A), anteroposterior CR (B), and MRI (C). Additional osteoarthritis‐related changes (arrowheads) are visible in CR and MR, but not in US. US and CR demonstrated similar moderate diagnostic capability to detect mild hip osteoarthritis and were associated with increased hip pain.
Antti Kemppainen   +2 more
wiley   +1 more source

Enhancing Dental Students' History‐taking Skills with a Generative Artificial Intelligence Chatbot

open access: yesJournal of Dental Education, EarlyView.
ABSTRACT Purpose Accurate history‐taking is crucial for diagnosis and treatment planning in dentistry yet there is insufficient time in pre‐clinical years to practice this essential skill. This study evaluated dental student motivations and enjoyment using a generative artificial intelligence (AI) chatbot to practice these skills.
Aidan Or   +6 more
wiley   +1 more source

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