So Far AI has not had a big impact on Medical Diagnosis even after IBM spent billions

Can artificial intelligence lead to better cancer treatments? IBM spent six years and billions of dollars trying to find out.  

WSJ reports: "Oncology won’t be “a great space for making [AI] products” until there’s better data about patients, spanning genetic, environmental, lifestyle and health information, said Bob Kocher, a medical doctor and partner at venture-capital firm Venrock in Palo Alto, Calif. In the near term, most of the benefits from AI in the health-care field will come in administrative tasks such as billing, he added.




"To Build Truly Intelligent Machines, Teach Them Cause and Effect"

Judea Pearl on the future of AI: 

"The key, he argues, is to replace reasoning by association with causal reasoning. Instead of the mere ability to correlate fever and malaria, machines need the capacity to reason that malaria causes fever. Once this kind of causal framework is in place, it becomes possible for machines to ask counterfactual questions — to inquire how the causal relationships would change given some kind of intervention — which Pearl views as the cornerstone of scientific thought. Pearl also proposes a formal language in which to make this kind of thinking possible — a 21st-century version of the Bayesian framework that allowed machines to think probabilistically..."


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