Journal of the Formosan Medical Association = Taiwan yi zhi
Apr 6, 2026
BACKGROUND: Traditional fracture risk assessment tools have limitations in accurately predicting re-fracture risk. Machine learning (ML) approaches offer a novel method for improving risk prediction. This study aimed to apply ML approach to identify ... read more
European annals of otorhinolaryngology, head and neck diseases
Apr 6, 2026
OBJECTIVE: ChatGPT has gained popularity for its user-friendly applications in medicine, including otolaryngology. However, concerns have surfaced about accuracy of information, especially in languages other than English. This study assessed ChatGPT'... read more
International journal of gynecological cancer : official journal of the International Gynecological Cancer Society
Apr 6, 2026
OBJECTIVE: Current tissue-based methods for ruling out endometrial cancer in symptomatic women are highly invasive. We explored whether non-invasive vaginal samples could be used to detect endometrial cancer. METHODS: Women undergoing hysterectomy we... read more
OBJECTIVE: To test the advantage of geographically diverse, multiregional training of artificial intelligence models over single-region training for detection of trachomatous inflammation-follicular (TF) across test sets from different regions. DESIG... read more
INTRODUCTION: Non-invasive neuromodulation techniques like repetitive transcranial magnetic stimulation (rTMS) have shown promise in treating psychopathology. However, emerging evidence suggests that the brain's functional state during stimulation ma... read more
BACKGROUND: Neurologists have a significant challenge due to the progressive nature of Alzheimer's disease (AD) and its severe effects on cognitive function. Recent advances in neuroimage analysis have opened the door to novel machine-learning techni... read more
BACKGROUND: Frailty is common among individuals with cardiovascular disease (CVD) and is a strong predictor of adverse outcomes. Machine learning (ML) methods have been applied independently in CVD research for risk prediction and in frailty research... read more
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