Yale researchers are delving into the potential applications of artificial intelligence (AI) in healthcare. Harlan Krumholz, a professor of medicine at the School of Medicine, envisions a future where healthcare extends beyond clinics, with wearable devices collecting vital health data and AI algorithms analyzing this data for early diagnosis.
Recent studies from Yale have showcased the potential of AI in healthcare, including an algorithm that diagnoses aortic stenosis from an echocardiogram and another that predicts COVID-19 outcomes for emergency room patients within 12 hours. However, concerns arise regarding the reliability and ethics of AI in healthcare. The vast amount of data required to train machine-learning models also presents ethical dilemmas, especially concerning patient privacy and data usage.