Artificial Intelligence in Medical Practice: Time to Join the Global Participants' Train.

Area of Science:

• Medical Informatics
• Computational Medicine

Background:

• Artificial intelligence (AI) is increasingly relevant in medical practice and disease management.
• Many physicians lack foundational knowledge of AI and its medical applications.
• This review provides an introduction to AI concepts and their medical relevance.

Purpose of the Study:

• To offer an introductory overview of artificial intelligence (AI).
• To explain fundamental AI concepts and their application in medicine.
• To highlight the growing role of AI in healthcare.

Main Methods:

• Literature review of AI in medical practice.
• Searches conducted on PubMed, Scopus, Google Scholar, and MEDLINE.
• Keywords included "artificial intelligence," "machine learning," "AI algorithm," "medical application of AI," and "future of AI in medical practice."

Main Results:

• 71 articles met inclusion criteria from an initial 94 reviewed.
• AI applications are expanding in managing both cancerous and non-cancerous conditions.
• AI is utilized in robot-assisted surgery, data management, predictive/precision medicine, and clinical research.

Conclusions:

• AI is revolutionizing healthcare, making its integration a necessity.
• The healthcare community must proactively adopt AI rather than passively observe.
• AI integration is essential for the future advancement of medicine.