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Understanding Artificial Intelligence in Healthcare Revolutionizing Scar Treatment and Skin Regeneration

Authors

  • Abdul Rafay

    Monash University Clayton Campus
    Author

Keywords:

Artificial Intelligence, Scar Treatment, Skin Regeneration, Deep Learning, Dermatology, Personalized Medicine, Machine Learning, Healthcare, Image Analysis, Skin Diseases

Abstract

Scar formation represents a regular result from various injuries and burns along with surgical interventions that produce both functional and aesthetic challenges. Artificial Intelligence has transformed dermatological care through its disruptive impact on diagnosing scars while treating these lesions as well as guiding scar management. AI technology with its components such as machine learning along with deep learning and computer vision features has become integrated within clinical practices to detect scars better and create personalized therapies and advance skin restoration. AI system operates through large-scale dataset analysis of both medical pictures and patient background information thereby creating individual treatment plans. The report examines AI's contributions to scar treatment while studying its diagnostic capabilities with its preventive functions and optimized treatment methods and its ability to accelerate tissue regeneration. The major benefits from AI implementation come with the necessity to manage data privacy issues alongside ethical concerns alongside reducing model bias. Research in AI for scar management plus skin regeneration continues to expand so developers can produce essential innovative solutions for contemporary dermatology.

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Published

2024-08-09