Black-Box Data: A new paradigm for biomedicine in the AI era

Key Points

• The aim is to explore how AI is transforming biomedicine from traditional models to advanced methodologies.
• Examine the transition from white-box to black-box models
• Analyze the implications of AI in biomedical research
• Identify key challenges and benefits of adopting new data paradigms
• AI enhances the ability to analyze complex biomedical data
• Black-box models can provide insights not easily attainable with traditional methods
• The shift towards AI requires careful consideration of data transparency and ethics

Abstract