For ML to really make a dent in medicine, the whole system needs to be altered, in a similar vein to how building roads tailored to self driving cars would make

For ML to really make a dent in medicine, the whole system needs to be altered, in a similar vein to how building roads tailored to self driving cars would make them much more successful. Most medical diagnoses are only made when severe physiological derangement has already occurred. If we had access to longitudinal streams of data, then ML would be essential to detecting anomalies which point to early evidence of disease. For example, streaming in regular noninvasive measurements on breath and urine; wearable readouts on heart rate, oxygen saturation, blood pressure, temperature, movement; neurocognitive streams based on analysis of email, video calls, text messages etc. But this is a fundamental change on many levels, with many barriers. It will also probably fail to improve the health of people who need it the most. I’m not sure it’s even that appealing as an alternative to the current meatspace system.