Articles by MedicalXpress.com

A recent breakthrough study has introduced a novel methodology that significantly enhances the accuracy of epidemiological estimates for infectious diseases like COVID-19.This post was originally published on this site

While people are growing more accustomed to AI-driven personal assistants, customer service chatbots and even financial advisors, when it comes to health care, most still want it with a human touch.This post was originally published […]

Native Hawaiian and Pacific Islander (NHPI) adults have a high rate of cardiovascular disease (CVD) mortality, according to a study published online Oct. 15 in the Annals of Internal Medicine.This post was originally published on […]

While the vast majority of people over 50 look for health information on the internet, a new poll shows 74% would have very little or no trust in such information if it were generated by […]

When human radiologists examine scans, they peer through the lens of decades of training. Extending from college to medical school to residency, the road that concludes in a physician interpreting, say, an X-ray, includes thousands […]

Travelers sometimes pick up more than just memories when they go abroad. Unfortunately, they may also experience health issues brought about by pathogens. Data collected by a novel travel app developed by UZH researchers in […]

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light on the potential of such integrated models in clinical […]

At the intersection of AI and medical science, there is growing interest in using machine learning to enhance imaging data captured by magnetic resonance imaging (MRI) technology. Recent studies show that ultra-high-field MRI at 7 […]

Population-based cancer survival is a key metric in evaluating the effectiveness of national cancer control policies and interventions. The “Healthy China 2030 Planning Outline” has set a goal to increase the overall cancer survival rate […]

Researchers at Uppsala University have developed a clinical model that can accurately predict the risk of hip fractures in the elderly. The model is based on analyses of data from the entire Swedish population and […]