The potential of artificial intelligence to transform medicine

Area of Science:

• Medical Informatics
• Artificial Intelligence in Healthcare
• Clinical Decision Support

Background:

• The integration of artificial intelligence (AI) into medical practice is rapidly increasing.
• Pediatricians need to comprehend AI's influence on daily workflows and the broader medical landscape.
• Key AI applications include diagnostic tools and electronic health record (EHR) optimization.

Purpose of the Study:

• To review the impact of artificial intelligence on pediatric practice.
• To assess AI's role in enhancing efficiency and accuracy of medical information.
• To address concerns regarding patient privacy and ethical considerations in AI implementation.

Main Methods:

• Review of current AI applications in medicine, including computer vision and large language models.
• Analysis of AI's potential for improving electronic health record documentation.
• Examination of legal and ethical challenges associated with AI in healthcare.

Main Results:

• AI models, such as computer vision and large language models, show promise for diagnostics but often lack external validity and reliability.
• AI can enhance efficiency in electronic health record documentation.
• Significant legal and ethical concerns exist regarding patient data privacy and security with AI models.

Conclusions:

• AI should be used as a supplemental tool in medical practice and education, not a replacement for traditional methods.
• A balance is necessary to avoid overreliance on AI and potential misinformation.
• Increased oversight and regulation are crucial for ethical AI implementation and patient privacy protection.