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This dissertation proposes a framework for analyzing medical images on mobile devices but presents no new research findings, focusing instead on development methodologies and their applications to hair transplant and glaucoma contexts.

This review discusses recent advancements in mobile technology and artificial intelligence for dermatology, offering an overview of their current applications but reports no new clinical findings.

This scoping review found that while digital health technologies designed to address health equity in Black communities have increased, the application and evaluation of equity-focused design approaches remain inconsistent, highlighting a need for integrating equity metrics throughout the design process.

In this study, artificial intelligence's integration into Indian aesthetic medicine has expanded from consumer apps to crucial roles in diagnostics, treatment planning, and clinic management, driven by demands for precise data over subjective opinions and enhancing competitive advantage.

This study reported that AutoML effectively modeled itching and pain development, as well as app use, in patients with chronic eczema or psoriasis using a smartphone monitoring app, revealing that factors like BMI, age, and disease activity significantly influenced app engagement.