Artificial Intelligence in Medicine and Medical Education: Current Applications, Challenges, and Future Directions

Abstract

AI's rise in medicine promises personalized care, better diagnoses, and innovative training. It analyzes images, predicts diseases, and tailors treatments. However, ethical concerns loom. Biased data can lead to unfair diagnoses, and some AI systems lack transparency, raising trust issues. The editorial proposes solutions: ethical frameworks, transparent AI, and legal regulations. It envisions a future where AI complements doctors, requiring collaboration across fields. To prepare future physicians, medical schools need to integrate AI and ethics into their curriculum. AI holds immense potential, but challenges must be addressed. Through collaboration and responsible development, AI can revolutionize medicine alongside human expertise.

Keywords

• Artificial Intelligence
• Medical Education
• Training Support
• Machine Learning
• Algorithms
• Research Design