We will eventually see diagnostic AI for general practitioners, one disease at a time, to gradually cover all diagnoses. Further trials are needed, but as these technologies are deployed and more data is gathered, the AI stands to outclass doctors. Studies have shown that AI trained on sizable data can outperform physicians in several areas of medical diagnosis regarding brain tumors, eye disease, breast cancer, skin cancer and lung cancer. I anticipate diagnostic AI will surpass all but the best doctors in the next 20 years. Doing all of this well is beyond human capabilities. AI can take into account everyone’s data to personalize treatment accordingly, or keep up with a massive number of new drugs, treatments and studies. When there is enough data, AI can do a much more accurate job of diagnosis and treatment than human doctors by absorbing and checking billions of cases and outcomes. This will redefine healthcare as a data-driven industry, and when that happens, it will leverage the power of AI - its ability to continuously improve with more data. The healthcare sector is seeing massive digitization of everything from patient records and radiology data to wearable computing and multiomics.

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