How doctors are using machine learning to improve health outcomes

An ounce of prevention is worth a pound of cure, as the old saying goes. Until recently, that simply meant living a healthy lifestyle, getting regular checkups, and hoping that signs of anything serious were caught early. But today, doctors are using artificial intelligence (AI) and machine learning systems to make preventative care, diagnosis, and treatment more accurate and effective than ever. "Machine learning involves adaptive learning and as such, can identify patterns over time as new data is aggregated and analyzed," explains Melissa Manice, co-founder of healthcare startup Cohero Health. "Therefore, machine learning and AI allows doctors to detect abnormal behaviors and predictive insights with the application of clinical thresholds to machine learning algorithms," she continues.