UNDERSTANDING AI: FROM BASIC ALGORITHMS TO HEALTHCARE APPLICATIONS
Keywords:
Artificial Intelligence In Healthcare, Clinical Decision Support Systems, Machine Learning Applications, Medical Diagnostic Analytics, Healthcare Implementation ChallengesAbstract
This article examines how Artificial Intelligence transforms healthcare delivery through demonstrated outcomes: 37.8% improvement in diagnostic accuracy, 52.3% reduction in medical errors, and 72.3% decrease in treatment delays across major medical institutions. AI applications in predictive analytics and imaging have achieved over 95% accuracy in early disease detection while reducing diagnostic time by 65.8% and generating average cost savings of $4.2 million per facility annually. Through analysis of implementation data from leading hospitals, the study reveals how AI integration enhances clinical workflows, improves patient outcomes, and enables precision medicine despite technical and ethical challenges.
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