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Manuscript Preview: Health Informatics

PAPER_REF: HI301_AI_HEALTH

The Impact of Artificial Intelligence on Modern Healthcare Delivery

Spring Semester 2024 • 2,500 Word Milestone

Abstract

This analysis evaluates the dual-edge nature of AI in clinical settings. Findings indicate that while diagnostic accuracy improves by 37% in radiological screenings (McKinney et al., 2020), algorithmic bias remains a critical impediment to adoption among underrepresented populations.

Artificial intelligence has emerged as a transformative force. However, the path forward requires Explainable AI (XAI). Regulatory frameworks must evolve to evaluate these systems dynamically, positioning AI as decision support rather than clinical replacement.

Critical Evidence Synthesis

"One algorithm underestimated the healthcare needs for Black patients by 47%. This demonstrates that without diverse training sets, AI risks institutionalizing existing health disparities."

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