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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.
[Albumin adjustment of total serum calcium - is it worth doing?].
Probl Endokrinol (Mosk)
November 2024
Calcium is the most abundant mineral in the human body. About 99% of calcium is deposited in the bones in the form of hydroxyapatite and only 1% is located in the intracellular and extracellular fluid. Ionized calcium, which makes up about 50% of the total amount of circulating calcium, is biologically active; the remaining percentage is bound to plasma proteins (40%, of which albumin accounts for 90%, and globulins for 10%), or is in complex with anions (10%) such as citrate, lactate, bicarbonate, phosphate.
View Article and Find Full Text PDFThe Predictive Accuracy of the New Trauma Score and the Revised Trauma Score in Predicting the Mortality of Patients Presenting to the Emergency Department of a Tertiary Care Hospital in Karachi.
Cureus
December 2024
Orthopaedics and Trauma, Jinnah Postgraduate Medical Centre, Karachi, PAK.
Background Trauma is a major public health issue, causing disease and death globally. Injuries can range from mild to severe, requiring different levels of medical attention from a skilled team. Objectives To predict the accuracy of the new trauma score (NTS) and the revised trauma score (RTS) for predicting the mortality of patients presenting in the emergency department of a tertiary care hospital in Karachi.
View Article and Find Full Text PDFCan Artificial Intelligence Create an Accurate Colonoscopy Bowel Preparation Prompt?
Gastro Hep Adv
October 2024
Division of Gastroenterology, Icahn School of Medicine at Mount Sinai, Mount Sinai South Nassau, One Healthy Way, Oceanside, New York.
Background And Aims: Colorectal cancer is the third most common cancer in the United States, with colonoscopy being the preferred screening method. Up to 25% of colonoscopies are associated with poor preparation which leads to prolonged procedure time, repeat colonoscopies, and decreased adenoma detection. Artificial intelligence (AI) is being increasingly used in medicine, assessing medical school exam questions, and writing medical reports.
View Article and Find Full Text PDFRisk stratification for violent behavior in critically ill patients: Current assessment tools.
Intensive Crit Care Nurs
January 2025
Clinic for Intensive Care, Department of Acute Medicine, University Hospital Basel, Basel, Switzerland; Medical Faculty, University of Basel, Basel, Switzerland; Department of Clinical Research, University of Basel, Basel, Switzerland.
Background: Workplace violence (WPV) presents challenges in intensive care units (ICUs) calling for reliable prediction of violence. This narrative review aimed to identify and evaluate risk assessment tools from acute care settings which are or might be used to predict violent behavior in adult ICU patients focusing on their performance and clinical utility.
Methods: A screening of PubMed, Scopus and Google Scholar was conducted to identify risk scores used in the acute care setting such as emergency departments, hospitals and ICUs.
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