AI in medical care

AI and ML is starting to transform the healthcare industry. These technologies are being used to improve diagnostic capabilities and clinical decision-making to speed up the detection and treatment of many diseases. These AI programs do not just follow preprogrammed guidelines for how to diagnose a disease. Instead, the AI is taught to recognize the symptoms of particular medical conditions, such as heart arrhythmias, diabetes-related vision loss, and even cancer.

A medical image is a rich source of data about a patient's health. With high-resolution images from X-rays, MRIs, and CAT scans, ML models can be trained with millions of example images labeled with particular medical conditions. With sufficient examples, the resulting ML models can diagnose diseases with accuracies that rival, if not surpass, human doctors. With AI programs tirelessly analyzing for valuable medical insights, they can aid doctors with faster and more accurate diagnoses, and the patients can receive treatment sooner.

More profoundly, the resulting AI capabilities incorporate the knowledge and experience of the best doctors and clinicians that helped to develop these capabilities. Once developed, the capabilities can be massively replicated and distributed to primary care offices and walk-in clinics, where this level of medical expertise was previously inaccessible. This can save thousands of lives through the early detection and treatment of diseases. It will have a profound impact on people's lives, especially in locations of the world where specialized doctors are scarce.