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Undifferentiated pleomorphic sarcoma in the maxillary sinus: a case report.
J Med Case Rep
January 2025
Department of Oral and Maxillofacial Pathology, School of Dentistry, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Background: Undifferentiated pleomorphic sarcoma, previously called malignant fibrous histiocytoma, is a type of malignant mesenchymal tumor (sarcoma) of soft tissue and sometimes bone. It is uncommon in the oral cavity and very sporadic in the maxillary sinus. Microscopic diagnosis of this malignancy in the maxillary sinus can be very challenging, because there is a range of features that may overlap with other benign and malignant tumors.
View Article and Find Full Text PDFMedical negligence compensation claims in knee meniscal surgery in Norway: a cross-sectional study.
Patient Saf Surg
January 2025
NTNU - Norwegian University of Science and Technology, Trondheim, Norway.
Background: Meniscal surgery is one of the most frequent orthopaedic procedures performed worldwide. There is a wide range of possible treatment errors that can occur following meniscal surgery. In Norway, patients subject to treatment errors by hospitals and private institutions can file a compensation claim free of charge to the Norwegian System of Patient Injury Compensation (NPE).
View Article and Find Full Text PDFDiscordance, accuracy and reproducibility study of pathologists' diagnosis of melanoma and melanocytic tumors.
Nat Commun
January 2025
Digital Biomarkers for Oncology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Accurate melanoma diagnosis is crucial for patient outcomes and reliability of AI diagnostic tools. We assess interrater variability among eight expert pathologists reviewing histopathological images and clinical metadata of 792 melanoma-suspicious lesions prospectively collected at eight German hospitals. Moreover, we provide access to the largest panel-validated dataset featuring dermoscopic and histopathological images with metadata.
View Article and Find Full Text PDFExploring medical error taxonomies and human factors in simulation-based healthcare education.
PLoS One
January 2025
Faculty of Medicine, Department of Simulation Medicine, Masaryk University, Brno, Czech Republic.
This study aims to provide an updated overview of medical error taxonomies by building on a robust review conducted in 2011. It seeks to identify the key characteristics of the most suitable taxonomy for use in high-fidelity simulation-based postgraduate courses in Critical Care. While many taxonomies are available, none seem to be explicitly designed for the unique context of healthcare simulation-based education, in which errors are regarded as essential learning opportunities.
View Article and Find Full Text PDFArtificial Intelligence Scribe and Large Language Model Technology in Healthcare Documentation: Advantages, Limitations, and Recommendations.
Plast Reconstr Surg Glob Open
January 2025
Department of Computer Science, Johns Hopkins University, Baltimore, MD.
Artificial intelligence (AI) scribe applications in the healthcare community are in the early adoption phase and offer unprecedented efficiency for medical documentation. They typically use an application programming interface with a large language model (LLM), for example, generative pretrained transformer 4. They use automatic speech recognition on the physician-patient interaction, generating a full medical note for the encounter, together with a draft follow-up e-mail for the patient and, often, recommendations, all within seconds or minutes.
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