The case of a Tennessee nurse has rekindled an old debate.
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A Rectal Cancer Surgery Dataset: Use of artificial intelligence to aid automation of error identification.
Sci Data
January 2025
The Griffin Institute, Northwick Park and St Mark's Hospital, Watford Road, London, HA13UJ, UK.
Minimally invasive surgery is complex and prone to variation not routinely objectively measured. We established an association between skills and patient outcomes. The evolving application of artificial intelligence techniques could assist intraoperative analysis.
View Article and Find Full Text PDFLymphocytic Esophagitis: Navigating an Uncharted Territory.
J Investig Med High Impact Case Rep
January 2025
University of Balamand, Beirut, Lebanon.
Lymphocytic esophagitis (LE) is an uncommon subtype of esophagitis defined by persistent esophageal inflammation characterized by a high count of intraepithelial lymphocytes with scarce granulocytes. Although LE can present with atypical features such as chest pain, its clinical presentation can mimic that of gastroesophageal reflux disease or eosinophilic esophagitis, highlighting the importance of biopsy in diagnosing LE. Studies are still limited in understanding the pathophysiology behind this disease warranting further research.
View Article and Find Full Text PDFAutomatic Identification of Adenoid Hypertrophy via Ensemble Deep Learning Models Employing X-ray Adenoid Images.
J Imaging Inform Med
January 2025
Ear, Nose and Throat Department, Batman Training and Research Hospital, Batman, Turkey.
Adenoid hypertrophy, characterized by the abnormal enlargement of adenoid tissue, is a condition that can cause significant breathing and sleep disturbances, particularly in children. Accurate diagnosis of adenoid hypertrophy is critical, yet traditional methods, such as imaging and manual interpretation, are prone to errors. This study uses an ensemble deep learning-based approach for adenoid classification.
View Article and Find Full Text PDFComparison of laparoscopic performance using low-cost laparoscopy simulators versus state-of-the-art simulators: a multi-center prospective, randomized crossover trial.
Surg Endosc
January 2025
Department of Visceral, Thoracic and Vascular Surgery, Faculty of Medicine, University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Fetscherstraße 74, 01307, Dresden, Germany.
Introduction: Simulator training is an efficient method for the development of basic laparoscopic skills. We aimed to investigate if low-cost simulators are comparable to more expensive box trainers regarding surgeons usability, likability, and performance.
Methods: This multi-center, randomized crossover study included 16 medical students, seven abdominal surgeons, and seven urological surgeons.
[What holds the hospital together-A "fixation error" in terms of patient safety].
Anaesthesiologie
January 2025
Team Pflegewissenschaft und -fortschritt, Agaplesion Diakonieklinikum Hamburg, Hohe Weide 17, 20259, Hamburg, Deutschland.
Background: Fixation plasters are nowadays an important part of clinical care and the product range is adapted to the needs of patient care. A multifaceted selection is available.
Aim Of The Study: To increase vigilance towards the supposedly low-threshold use of fixation plasters in patient care.
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