Artificial intelligence in medical science: a review.

Area of Science:

• Medicine
• Computer Science
• Data Science

Background:

• Artificial intelligence (AI) leverages machine learning and statistical analysis to create intelligent systems.
• AI in medicine offers significant potential for advancing healthcare through data-driven insights.
• AI applications are categorized into virtual (treatment decisions) and physical (robotic assistance).

Purpose of the Study:

• To explore the diverse applications of artificial intelligence within the healthcare sector.
• To highlight AI's role in improving diagnostic accuracy and treatment planning.
• To examine AI's impact on operational efficiency and patient care.

Main Methods:

• Review of current artificial intelligence techniques in medical data analysis.
• Analysis of AI's role in interpreting medical imaging (X-rays, CT scans, MRIs).
• Examination of AI applications in electronic health record systems and robotic surgery.

Main Results:

• AI enables rapid analysis of diverse healthcare test reports, saving time and resources.
• AI assists in treatment and medication decisions by analyzing complex medical data.
• AI-powered technologies saw increased demand and development during the COVID-19 pandemic.

Conclusions:

• Artificial intelligence presents transformative potential across various healthcare domains.
• AI integration can lead to more efficient, cost-effective, and personalized patient care.
• Continued development of AI in medicine is crucial for future healthcare advancements.