Overview
AI in healthcare is the application of artificial intelligence to analyze and understand complex medical and healthcare data, with the potential to exceed or augment human capabilities in diagnosing, treating, or preventing disease. With the widespread use of AI in healthcare still relatively new, research is ongoing into its applications across various medical subdisciplines and related industries, including diagnostics, treatment protocol development, drug development, personalized medicine, and patient monitoring and care. According to a report by [[ibm|IBM]], the global AI in healthcare market is expected to reach $35.9 billion by 2025, growing at a compound annual growth rate (CAGR) of 41.8%. As of 2022, over 50% of healthcare organizations have already implemented AI solutions, with [[google|Google]]'s DeepMind Health and [[microsoft|Microsoft]]'s Health Bot being notable examples. However, the use of AI in healthcare also presents unprecedented ethical concerns related to issues such as data privacy, automation of jobs, and amplifying already existing algorithmic biases, as highlighted by [[american-medical-association|American Medical Association]] and [[world-health-organization|World Health Organization]].