As AI-driven diagnosis and treatment plans become increasingly prevalent in healthcare, a crucial question arises: to what extent can AI be considered 'co-author' rather than just 'co-reader' of medical literature and clinical decision-making processes? Should AI's capacity for processing vast amounts of data and identifying patterns be granted equal, or near-equal, weight to human clinicians' expertise when developing or modifying treatment plans, or would this compromise the nuances of human clinical judgment and patient-specific care?
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