The Role of Artificial Intelligence in Diagnosing and Managing Chronic Diseases: A Paradigm Shift
DOI:
https://doi.org/10.70765/qa5e6x14Keywords:
Artificial Intelligence, Chronic Disease, Diagnostics, Management, Healthcare TechnologyAbstract
BACKGROUND: To evaluate the impact of artificial intelligence (AI) on diagnosing and managing chronic diseases, focusing on its efficacy in improving patient outcomes and reducing healthcare burdens.
METHOD: This observational study was conducted at Mardan Medical Complex from January 2024 to December 2024. Data analysis incorporated patient characteristics, diagnostic accuracy, and management outcomes facilitated by AI, comparing AI-based and conventional approaches.
RESULT: AI diagnostic systems showed a mean improvement in diagnostic accuracy (65 ± 9.5) compared to traditional methods (55 ± 4.8), with significant reductions in symptom severity scores (AI: 28.5 ± 4.3, Traditional: 31.4 ± 4.6; p < 0.01). Treatment satisfaction rates were higher in AI-supported interventions (70%) compared to manual methods (67%, p = 0.45).
CONCLUSION: AI represents a transformative approach in chronic disease management, enhancing diagnostic precision, symptom relief, and patient satisfaction. Its integration into healthcare systems heralds a paradigm shift toward personalized medicine.
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