Blog

- ARTIFICIAL INTELLIGENCE

AI model powers skin cancer detection across diverse populations

Researchers at the University of California San Diego School of Medicine have developed a new approach for identifying individuals with skin cancer that combines genetic ancestry, lifestyle and social determinants of health using a machine learning model. Their model, more accurate than existing approaches, also helped the researchers better characterize disparities in skin cancer risk and outcomes.

Read More »

Zero-cost, AI-driven digital detection identifies Alzheimer’s without additional clinician time

Few primary care practices are designed for the timely detection of Alzheimer’s disease and related dementias. The limited time that primary care clinicians are able to spend with patients, the need to focus on the health problems that brought the patient to the clinic, as well as the stigma of Alzheimer’s disease and dementia are major reasons for lack of recognition of the condition.

Read More »