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Artificial intelligence (AI) and machine learning are increasingly used in daily life, but medical applications remain limited. This review explores AI in medicine, discussing applications, historical context, limitations, and ethical considerations.

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Area of Science:

  • Medicine
  • Computer Science
  • Artificial Intelligence

Background:

  • The integration of artificial intelligence (AI) and machine learning into daily life has seen significant growth.
  • However, the adoption and application of AI in medicine, particularly within our country, remain notably limited.

Purpose of the Study:

  • To provide a comprehensive review of artificial intelligence (AI) in medicine and related fields.
  • To analyze AI applications based on published literature from PubMed and Psych Net.

Main Methods:

  • Literature search conducted on PubMed and Psych Net databases.
  • Analysis of over 9,000 relevant articles.
  • Review includes historical data, current applications, limitations, and ethical implications of AI in medicine.

Main Results:

  • A substantial body of research exists on AI in medicine, with over 9,000 articles identified.
  • Various AI applications across different medical fields are discussed.
  • Key limitations and ethical considerations associated with medical AI are highlighted.

Conclusions:

  • AI holds significant potential for transforming medicine.
  • Further research and development are needed to overcome current limitations and address ethical concerns for widespread medical AI adoption.