October 18, 2025

AI-Driven Big Data Solutions for Personalized Healthcare: Analyzing Patient Data to Improve Treatment Outcomes

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The study demonstrates an impressive 93% accuracy in AI-driven diagnostic processes, significantly enhancing treatment plans.
Results indicate a 25% reduction in diagnostic errors, with 72% of patients receiving more precise diagnoses.
AI models analyzed data from electronic health records, wearable devices, and genetic information to optimize engagement.
The findings highlight challenges such as data bias and ethical concerns, necessitating careful integration of AI solutions.

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Observational analysis shows AI improves diagnostic accuracy and patient outcomes, highlighting scalability and efficiency.

Rafika et al. (2025) studied this question.

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