Machine Learning in Health

Machine Learning in health involves computers analyzing large amounts of medical data to identify patterns and make predictions, helping doctors diagnose and treat diseases more accurately. It enables systems to learn from patient information, imaging, or genetic data, improving over time without explicit programming. This technology can assist in early detection of conditions like cancer, personalize treatment plans, and optimize healthcare operations, ultimately leading to better patient outcomes and more efficient care.