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CXR-LLaVA: a multimodal large language model for interpreting chest X-ray images.
Eur Radiol
January 2025
Department of Radiology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Objective: This study aimed to develop an open-source multimodal large language model (CXR-LLaVA) for interpreting chest X-ray images (CXRs), leveraging recent advances in large language models (LLMs) to potentially replicate the image interpretation skills of human radiologists.
Materials And Methods: For training, we collected 592,580 publicly available CXRs, of which 374,881 had labels for certain radiographic abnormalities (Dataset 1) and 217,699 provided free-text radiology reports (Dataset 2). After pre-training a vision transformer with Dataset 1, we integrated it with an LLM influenced by the LLaVA network.
The Legacy of Dr. Tomisaku Kawasaki-A Tribute to the Legendary Japanese Pediatrician on His 100th Birth Anniversary: February 07, 2025.
Int J Rheum Dis
January 2025
Pediatric Allergy Immunology Unit, Advanced Pediatrics Centre, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Drones delivering automated external defibrillators for out-of-hospital cardiac arrest: A scoping review.
Resusc Plus
January 2025
Emergency Medical Services, Capital Region of Denmark, Ballerup, Denmark.
Unlabelled: Out-of-hospital cardiac arrest (OHCA) remains a critical health concern, where prompt access to automated external defibrillators (AEDs) significantly improves survival. This scoping review broadly investigates the feasibility and impact of dronedelivered AEDs for OHCA response.
Methods: PubMed, Cochrane, and Web of Science were searched from inception to August 6, 2024, with eligibility broadly including empirical data.
Bibliometric analysis of laryngeal cancer treatment literature (2003-2023).
Heliyon
January 2025
Department of Otolaryngology Head and Neck Surgery, the Second People's Hospital of Shenzhen, the First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong Province, 518035, China.
Background: Despite advancements in medical science, the 5-year survival rate for laryngeal squamous cell carcinoma remains low, posing significant challenges in clinical management. This study explores the evolution of key topics and trends in laryngeal cancer research. Bibliometric and knowledge graph analysis are utilized to assess contributions in treating this carcinoma and to forecast emerging research hotspots that may enhance future clinical outcomes.
View Article and Find Full Text PDFArtificial Intelligence-Driven Approaches to Managing Surgeon Fatigue and Improving Performance.
Cureus
December 2024
Surgery, Norfolk and Norwich University Hospital, Norwich, GBR.
Surgeon fatigue significantly affects cognitive and motor functions, increasing the risk of errors and adverse patient outcomes. Traditional fatigue management methods, such as structured breaks and duty-hour limits, are insufficient for real-time fatigue detection in high-stakes surgeries. With advancements in artificial intelligence (AI), there is growing potential for AI-driven technologies to address this issue through continuous monitoring and adaptive interventions.
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