Artificial intelligence for precision medicine

Area of Science:

• Biomedical Informatics
• Artificial Intelligence in Healthcare
• Precision Medicine

Background:

• Precision medicine tailors healthcare using individual patient data.
• Artificial intelligence (AI) and big data analytics accelerate personalized care.
• AI technologies analyze complex biomedical datasets for individualized treatment.

Purpose of the Study:

• Provide an overview of AI principles for healthcare professionals.
• Explore practical AI applications in precision medicine.
• Discuss limitations and ethical considerations of AI in healthcare.

Main Methods:

• Narrative review of AI in precision medicine.
• Exploration of AI's role in diagnosis, treatment, and prevention.
• Discussion of real-world examples and challenges.

Main Results:

• AI enhances early diagnosis and treatment selection.
• AI supports disease prevention and therapeutic interventions.
• Identified challenges include ethics, bias, privacy, and implementation barriers.

Conclusions:

• AI offers powerful tools for precision medicine.
• Healthcare professionals need to understand AI's capabilities and limitations.
• Responsible and efficient clinical implementation of AI is crucial.