Sectional Quantitative Study of COVI ...

Background: Health information technologies, including electronic health records (EHRs), have revolutionized health care delivery. These technologies promise to enhance the efficiency and quality of ...

Background: Despite the reinstatement of proactive human papillomavirus (HPV) vaccine recommendations in 2022, Japan continues to face persistently low HPV vaccination rates, which pose significant ...

Health-Related Digital Engagement and Incident Stroke Among Older Adults: Prospe ...

Background: Artificial intelligence and the language models derived from it, such as ChatGPT, offer immense possibilities, particularly in the field of medicine. It is already evident that ChatGPT can ...

Background: To optimize their use of a new Health Information System (HIS), supporting health care providers require effective HIS education. Failure to provide this ...

Informed Consent Disclosures and Minimum Requirements in AI Clinical Trials: Cross-Sectional Analysis Informed Consent Disclosures and Minimum Requirements in AI Clinical Trials: ...

The integration of digital technologies into health care has significantly enhanced the efficiency and effectiveness of care coordination. Our perspective paper explores the digital information ...

Digital twin (DT) technology is revolutionizing clinical practice by integrating diverse epidemiological data sources to create dynamic, patient-specific simulations. By leveraging data from genomics, ...

Background: Heart failure (HF) is a common disease and a major public health problem. HF mortality prediction is critical for developing individualized prevention and treatment plans. However, due to ...

Background: Many women experience urgency (UUI) and mixed (MUI) urinary incontinence but commonly hesitate to seek care. Treatment access and self-management for these conditions can be supported ...

Background: Postoperative delirium (POD) following cardiac surgery is a severe complication, and early identification of delirium risk remains a challenge in clinical practice. While machine learning ...