AI Diagnosis

The doctor-patient relationship is a founding principle of healthcare and medicine. The first step is to eliminate keyboards and computer screens and clinical encounters. Some doctors in the West can spend up to twice as many hours on medical paperwork than with their patients. In the years ahead, we should be able to eliminate the data clerk functions of clinician. These are mutually hated as much by patients as by doctors and clinician. AI tools such as speech recognition technology that are now commonplace in homes could be used in clinical settings for capturing data and notes, allowing doctors to concentrate on people. We have a problem with accuracy and efficiency. Trained on a huge resource of medical data, the power of AI learning can read some images more accurately than humans. Whether it's a pattern like a scan or a slide, or a prediction, AI can really rev up the accuracy. And that is important for a better diagnosis, better treatments, better outcomes, lower cost. Powerful machines can interpret scans 150 times faster than radiologists and can work 24 hours a day. AI can even suggest a diagnosis. Many conditions could be AI-diagnosed. And so the time that a doctor comes into play is very specific to important diagnoses.