Artificial intelligence could play an integral role in scientific innovation by allowing researchers to sift through enormous amounts of data created by projects like the Large Hadron Collider (which produces over 1 million subatomic particle collisions per second) and predict what new particles could exist (like dark matter).

There have already made significant progress on developing artificially intelligent fighter jets, battle ships, and land vehicles that would be able to operate with little or no human control.

Recommend the best treatment based on the patient's complaint and other data. Establish control procedures to detect and avoid potential diagnosis blunders. Find out which active component is most effective against that particular patient. Obtain accurate statistics for better care management.

Analyze chronic conditions by using lab data and other medical data to assist with early diagnosis. Make a thorough analysis of the probability of various illnesses based on genetic data. Combine the appropriate treatment approach for preventing or lowering risk factors.

Find new medicines based on previous research and medical intelligence. Reduce R&D expenditure while improving output — all resulting to greater productivity. You may use FDA data to analyze your drug discovery by identifying market mismatches and FDA approval or rejection rates.