Useful Applications of Artificial Intelligence in Radiology

Sepideh Moayed, a California resident, serves as a radiologist in the Bay Area. She also founded and serves as the CEO of Preventive Medicine, a personalized preventative medicine in Los Gatos. Sepideh Moayed has worked in the radiology industry for more than two decades, serving patients, teaching students, and embracing innovations like artificial intelligence (AI).

Artificial intelligence is a branch of science that involves deep and machine learning to develop intelligent technology and applications capable of mimicking human cognitive processes such as problem-solving. AI enhances diagnostic capabilities and supports radiologists in high-profile, acute illnesses such as cerebral tumors and breast cancer, identifying neurological abnormalities in minutes to improve patient outcomes.

Radiologists use Artificial Intelligence-based Computer Aided Detection (CADe) to more quickly and efficiently assess enormous imaging data volumes. For instance, AI aids the analysis of neurodegenerative conditions, such as amyotrophic lateral sclerosis (ALS), Parkinson’s, and Alzheimer’s, in seconds.

AI is similarly useful in characterizing pathological findings to address challenges such as differentiating between benign and malignant models to avoid false-positive and false-negative results.

Radiologists can also use AI to monitor a detected pathology over time and evaluate changes that may occur in response to treatment. These changes that AI detects are often tiny and invisible to the naked eye. But AI gives radiologists a clear picture of an evolving tumor in its early stages and aid in treatment.