Augmented Intelligence in healthcare

Augmented intelligence in healthcare refers to the collaborative approach where artificial intelligence enhances and amplifies human clinical expertise rather than replacing healthcare professionals. This paradigm focuses on AI systems that support clinical decision-making, improve diagnostic accuracy, and enhance patient care while maintaining human oversight and control.

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Augmented intelligence systems provide clinicians with data-driven insights, pattern recognition capabilities, and decision support tools that complement their clinical experience and judgment. Applications include AI-assisted radiology interpretation that highlights potential abnormalities for radiologist review, clinical decision support systems that suggest differential diagnoses based on patient symptoms, and surgical navigation systems that provide real-time guidance during procedures.

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The augmented intelligence approach addresses concerns about AI replacing healthcare workers by emphasizing human-AI collaboration and maintaining the central role of healthcare professionals in patient care. This model promotes trust, accountability, and ethical AI use in healthcare while leveraging the strengths of both human expertise and artificial intelligence capabilities.

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