AI Predicts Alzheimer’s Disease with 70% Accuracy

A new artificial intelligence system can predict Alzheimer’s disease with 70% accuracy seven years before diagnosis and 80% accuracy one year prior. This is according to a study by the University of California, San Francisco.

Experts trained the model using medical data from over 250,000 individuals. Prediction accuracy increased to 86-90% after incorporating demographic factors such as birth year, gender, ethnicity, and race.

“Overall, this study provides insight into how scientists can use machine learning algorithms and other advanced computer programs to analyze clinical and biological data to better understand each individual’s risk of developing Alzheimer’s disease,” the study states.

Early predictors contributing to the risk of the most common form of dementia include high levels of cholesterol and other fats in the blood, congestive heart failure, dizziness, cataracts, and deterioration of cartilage between bone joints. 

Osteoporosis emerged as a warning sign for women, while chest pain was noted for men. 

In June, a new AI model was able to detect 13 different types of cancer with 98.2% accuracy based on DNA data from tissue samples. 

In 2022, AI was taught to identify brain cancer from a drop of blood.