Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 35,431 to 35,440 of 222,841 articles

Integrating Machine Learning into Fracture Liaison Services: Toward precision risk stratification in osteoporosis care: A prospective cohort study.

Journal of the Formosan Medical Association = Taiwan yi zhi
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 

ChatGPT and patient education in benign paroxysmal positional vertigo, in French and in English.

European annals of otorhinolaryngology, head and neck diseases
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 

Whole-transcriptome sequencing and machine learning detect molecular signatures of endometrial cancer in non-invasive vaginal swabs.

International journal of gynecological cancer : official journal of the International Gynecological Cancer Society
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 

Comparing the Generalizability of Multiregional versus Locally Trained Deep Learning Models for Trachoma Detection.

Ophthalmology science
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 

The power of context: Enhancing repetitive transcranial magnetic stimulation effects through skillful behavior.

Behavioural brain research
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 

Alzheimer's disease staging using enhanced inception-ResNet-V2 and improved XceptionNet models for 3D MRI classification and segmentation.

Journal of neuroscience methods
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 

Machine learning for frailty assessment and outcome prediction in cardiovascular disease: A scoping review.

Ageing research reviews
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