A study explores how AI and ML can improve early detection of neurological diseases, including Parkinson’s disease, ...

The current MA risk adjustment model has shortcomings, both in predictive accuracy and payment equity across the Medicare ...

A large study found specific gut microbes associated with future type 2 diabetes years before diagnosis. The findings suggest ...

Artificial intelligence is moving beyond diagnosis and into prediction. New research suggests AI can identify hidden disease ...

A machine learning tool that analyzes information already captured in a child's electronic health record helped pediatricians ...

Machine learning pipeline to predict 30-day hospital readmission risk among patients with diabetes using clinical and healthcare utilization data. The objective of this project was to identify ...

Abstract: In the medical field, it is essential to predict diseases early to prevent them. Diabetes is one of the most dangerous diseases all over the world. In modern lifestyles, sugar and fat are ...

Objective This study aims to evaluate the relationship between obesity (measured by Body Mass Index (BMI)) and postoperative ...

The human brain is known to naturally change with age, shrinking in size and volume after people reach their 30s or 40s. In some cases, however, it can age faster than expected, which can increase the ...

Abstract: Overall the world, we have seen that many health diseases problems have arise like as Obesity, High-Blood Pressure, Heart-Attacks and Diabetes which is very harmful for Human life and have a ...

Smartwatches may transform blood sugar tracking, but today’s advances depend on CGMs, AI, and regulated health tech integrations.