Suchergebnisse - "Yokose M"

Can large language models respond health education questions for patients with palmar hyperhidrosis? A comparative study of ChatGPT and DeepSeek.

Autoren: Fan, Shajing Liu, Xiaoqing Tang, Min et al.

Quelle: Digital Health; 11/13/2025, Vol. 11, p1-8, 8p

Emergency Patient Triage Improvement through a Retrieval-Augmented Generation Enhanced Large-Scale Language Model.

Autoren: Yazaki, Megumi Maki, Satoshi Furuya, Takeo et al.

Quelle: Prehospital Emergency Care; 2025, Vol. 29 Issue 3, p203-209, 7p

Schlagwörter: GENERATIVE artificial intelligence, HEALTH services accessibility, VITAL signs, PATIENTS, RESEARCH funding, DATA analysis, CLINICAL decision support systems, EMERGENCY medical services, DESCRIPTIVE statistics, SIMULATION methods in education, INFORMATION retrieval, DATA analysis software, MEDICAL triage

Geografische Kategorien: JAPAN

Diagnostic efficacy of large language models in the pediatric emergency department: a pilot study.

Autoren: Del Monte, Francesco Barolo, Roberta Circhetta, Maria et al.

Quelle: Frontiers in Digital Health; 2025, p1-9, 9p

Schlagwörter: DIFFERENTIAL diagnosis, DATA analysis, PILOT projects, SCIENTIFIC observation, KRUSKAL-Wallis Test, MULTIPLE regression analysis, PROBABILITY theory, CHILDREN'S hospitals, HOSPITAL emergency services, NATURAL language processing, DECISION making in clinical medicine, DESCRIPTIVE statistics, LONGITUDINAL method, STATISTICS, CONFIDENCE intervals, DATA analysis software, PREDICTIVE validity, CHATBOTS

ChatGpt's accuracy in the diagnosis of oral lesions.

Autoren: Hajibagheri, Pedram Sani, Sahba Khosousi Samami, Mohammad et al.

Quelle: BMC Oral Health; 7/21/2025, Vol. 25 Issue 1, p1-7, 7p

Schlagwörter: GENERATIVE artificial intelligence, ORAL disease diagnosis, QUESTIONNAIRES, KRUSKAL-Wallis Test, DESCRIPTIVE statistics, CHI-squared test, COMPUTER-aided diagnosis, CONFIDENCE intervals

Effect of Remimazolam versus Propofol on Hemodynamics in Elderly Hypertensive Patients Undergoing Gastroenteroscopy: A Multicenter, Randomized Controlled Clinical Trial.

Autoren: Gu, Qian Zeng, Deling Lin, Dayong et al.

Quelle: Drug Design, Development & Therapy; Jul2025, Vol. 19, p6423-6434, 12p

Evaluating Large Language Models in Interpreting MRI Reports and Recommending Treatment for Vestibular Schwannoma.

Autoren: Sales, Arthur H. A. Gizaw, Christine Julia Beck, Jürgen et al.

Quelle: Diagnostics (2075-4418); Nov2025, Vol. 17 Issue 22, p2841, 16p

Schlagwörter: MAGNETIC resonance imaging, ARTIFICIAL intelligence, ACOUSTIC neuroma, THERAPEUTICS, LANGUAGE models, GENERATIVE pre-trained transformers, MEDICAL care

Feasibility of continuous high-resolution bioreactance monitoring during cesarean delivery under spinal anesthesia.

Autoren: Gaik, Christine Bahle, Tabea Keil, Corinna et al.

Quelle: Frontiers in Medicine; 2025, p1-11, 11p

Cracking the code: a head-to-head comparison of expert clinicians and artificial intelligence in diagnosing rare diseases.

Autoren: Sendtner, Georg Wolfgang Muecke, Martin Grigull, Lorenz et al.

Quelle: Orphanet Journal of Rare Diseases; 11/5/2025, Vol. 20 Issue 1, p1-7, 7p

Schlagwörter: RARE diseases, DIAGNOSIS, DIFFERENTIAL diagnosis, ARTIFICIAL intelligence, MEDICAL personnel, CLINICAL decision making, DIAGNOSTIC services

Geografische Kategorien: GERMANY

Exploring the Potential of an AI Chatbot as a Supplementary Tool for Nutritional Prescription Hospital Discharge: A Preliminary Study.

Autoren: da Cruz Pereira, Renato Augusto Lima, Raianne Rodrigues Araujo Gomes, Amanda Cristina et al.

Quelle: Scientifica; 10/27/2025, Vol. 2025, p1-10, 10p

Schlagwörter: CHATBOTS, NUTRITION, INTER-observer reliability, HOSPITAL records, PATIENTS, DIETITIANS, HOSPITAL admission & discharge

Remifentanil reduces post-induction hypotension compared to fentanyl in thoracoscopic esophagectomy: a retrospective cohort study.

Autoren: Zhang, Jin Zhao, Chen Sun, Hao et al.

Quelle: Frontiers in Pharmacology; 2025, p1-13, 13p

Schlagwörter: REMIFENTANIL, FENTANYL, ANESTHESIA, HEMODYNAMICS, ESOPHAGECTOMY, OPIOIDS, COHORT analysis, ANESTHESIA complications

The role of heart rate variability in cardiac surgery: applications and innovations.

Autoren: Ashinze, Patrick Gaur, Aditya Banerjee, Suvam et al.

Quelle: Cardiothoracic Surgeon; 10/18/2025, Vol. 33 Issue 1, p1-13, 13p

Schlagwörter: CARDIAC surgery, AUTONOMIC nervous system, PREOPERATIVE risk factors, SCIENTIFIC observation, BIOSENSORS, HEART beat, ARTIFICIAL intelligence

External validation of PRAM score for predicting post spinal hypotension during cesarean delivery: A prospective observational study.

Autoren: Dayal, Prashansa Tyagi, Asha Kumar, Amit et al.

Quelle: Saudi Journal of Anaesthesia; Oct-Dec2025, Vol. 19 Issue 4, p553-558, 6p

Schlagwörter: SYSTOLIC blood pressure, CESAREAN section, BLOOD pressure, BABY strollers, HEART beat

Can ChatGPT-4 evaluate whether a differential diagnosis list contains the correct diagnosis as accurately as a physician?

Autoren: Mizuta, Kazuya Hirosawa, Takanobu Harada, Yukinori et al.

Quelle: Diagnosis (2194-802X); Aug2024, Vol. 11 Issue 3, p321-324, 4p

Schlagwörter: GENERATIVE artificial intelligence, CLINICAL decision support systems, LANGUAGE models, NATURAL language processing, CHATGPT

Systemic vasoconstriction and mortality in patients with heart failure and reduced ejection fraction: A cohort of patients who underwent non-invasive hemodynamic monitoring.

Autoren: Ochiai, Marcelo Eidi Novaes, Kelly Regina Vieira Myakava, Lucas Hideki Kato et al.

Quelle: PLoS ONE; 12/20/2024, Vol. 19 Issue 12, p1-10, 10p

Schlagwörter: HEART failure patients, VASCULAR resistance, HEMODYNAMIC monitoring, VENTRICULAR ejection fraction, CHAGAS' disease

Evaluating the Diagnostic Accuracy and Management Recommendations of ChatGPT in Uveitis.

Autoren: Rojas-Carabali, William Cifuentes-González, Carlos Wei, Xin et al.

Quelle: Ocular Immunology & Inflammation; Oct2024, Vol. 32 Issue 8, p1526-1531, 6p

Schlagwörter: NATURAL language processing, CHATBOTS, ARTIFICIAL intelligence, CHATGPT, DIAGNOSTIC errors

A bibliometric analysis of the advance of artificial intelligence in medicine.

Autoren: Lin, Mian Lin, Lingzhi Lin, Lingling et al.

Quelle: Frontiers in Medicine; 2025, p1-15, 19p

Comparative evaluation of the accuracy and reliability of ChatGPT versions in providing information on Helicobacter pylori infection.

Autoren: Ye, Yi Zheng, En-dian Lan, Qiao-li et al.

Quelle: Frontiers in Public Health; 2025, p1-7, 7p

Validation of an Artificial Intelligence-Powered Virtual Assistant for Emergency Triage in Neurology.

Autoren: Alessandro, Lucas Crema, Santiago Castiglione, Juan I. et al.

Quelle: Neurologist; May2025, Vol. 30 Issue 3, p155-163, 9p

Performance of GPT‐4o in the management of toxicological exposures: A comparative analysis with emergency medicine residents.

Autoren: Ozer, Vildan Bulbul, Ozlem Pasli, Sinan et al.

Quelle: Hong Kong Journal of Emergency Medicine; Aug2025, Vol. 32 Issue 4, p1-9, 9p

Schlagwörter: TOXIC substance exposure, EMERGENCY medicine, ANTIDOTES, DECISION support systems, EMERGENCY management, GENERATIVE pre-trained transformers, TOXICOLOGISTS

A CASE REPORT: PREVOST'S AS EARLY SIGN OF SUBCORTICAL SYMPTOM TO BE CONSIDERED FOR SCREENING IN ACUTE ISCHEMIC STROKE.

Autoren: Febriana, Fitria Selohandono, Andrianto Utomo, Yudhanto

Quelle: Magna Neurologica; Jul2025, Vol. 3 Issue 2, p113-122, 10p

Schlagwörter: ISCHEMIC stroke, CEREBRAL infarction, STROKE, SYMPTOMS, STROKE patients