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Skip search results from other journals and go to results- 149 Journal of Medical Internet Research
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Artificial intelligence (AI) and predictive analytics: Next-gen PHRs may leverage AI and machine learning algorithms to analyze health data. This can help users identify trends, receive personalized health recommendations, and even predict potential health issues [16].
Security and privacy: Robust security measures are in place to protect sensitive health information.
JMIR Form Res 2025;9:e56272
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These limitations demonstrate the need for advanced diagnostic tools, such as artificial intelligence (AI), which can enhance diagnostic accuracy by detecting subtle imaging patterns and providing quantitative, reproducible analyses that surpass human interpretation.
Consequently, there is growing interest in applying image-based AI to improve the accuracy of LVSI detection. AI-based diagnostic tools have demonstrated variable performance in predicting LVSI.
J Med Internet Res 2025;27:e71091
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The rise of AI has shown great promise, particularly in the field of wound care. These technologies provide health care professionals with novel tools that contribute towards many improvements in treatment efficiency and efficacy, including early detection, risk factor analysis, prediction, diagnosis, intelligent treatment, outcome prediction, and prognostic evaluation [6]. In addition, AI-powered tools have been shown to empower patients to take control of their own health and well-being.
J Particip Med 2025;17:e69470
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