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Role of Artificial Intelligence-assisted Decision Support Tool for Common Rhythm Disturbances: A ChatGPT Proof-of-concept Study.
J Community Hosp Intern Med Perspect
November 2024
Department of Medicine, Ibn e Seena Hospital, Kabul, Afghanistan.
Background: The objective of this article was to explore the use of ChatGPT as a clinical support tool for common arrhythmias.
Methods: This study assessed the feasibility of using ChatGPT as an AI decision-support tool for common rhythm disturbances. The study was conducted using retrospective data collected from electronic medical records (EMRs) of patients with documented rhythm disturbances.
An automatic and real-time echocardiography quality scoring system based on deep learning to improve reproducible assessment of left ventricular ejection fraction.
Quant Imaging Med Surg
January 2025
Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Background: Echocardiography can conveniently, rapidly, and economically evaluate the structure and function of the heart, and has important value in the diagnosis and evaluation of cardiovascular diseases (CVDs). However, echocardiography still exhibits significant variability in image acquisition and diagnosis, with a heavy dependency on the operator's experience. Image quality affects disease diagnosis in the later stage, and even image quality assessment still has variability in human evaluation.
View Article and Find Full Text PDF[Establishment and application of an artificial intelligence-assisted platform for detection of parasite eggs].
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi
August 2024
School of Basic Medical Sciences, Hubei University of Medicine, Shiyan, Hubei 442000, China.
Objective: To establish an artificial intelligence (AI)-assisted platform for detection of parasite eggs, and to evaluate its detection efficiency and accuracy, so as to provide technical supports for elimination of parasitic diseases.
Methods: A total of 1 003 slides of , horkworm, , , , , , and eggs were collected, and converted into digital images with an automatated scanning microscope to create a dataset. Based on the Object Detection platform on the Baidu Easy DL model, an AI-assisted platform for detection of parasite eggs was created through procedures of uploading, labeling, training, evaluation and optimization.
Predicting the outcome of a kidney transplant involving a living donor advances donor decision-making donors for clinicians and patients. However, the discriminative or calibration capacity of the currently employed models are limited. We set out to apply artificial intelligence (AI) algorithms to create a highly predictive risk stratification indicator, applicable to the UK's transplant selection process.
View Article and Find Full Text PDFHyoid bone-based sex discrimination among Egyptians using a multidetector computed tomography: discriminant function analysis, meta-analysis, and artificial intelligence-assisted study.
Sci Rep
January 2025
Center for Health Research, Northern Border University, Arar, 91431, Saudi Arabia.
The hyoid bone has been identified as sexually dimorphic in various populations. The current study is a forerunner analysis that used three-dimensional multidetector computed tomography (3D MDCT) images of the hyoid bone to examine sexual dimorphism in the Egyptian population. A total of 300 subjects underwent neck CT imaging, with an additional 60 subjects randomly selected for model validation.
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