New Research Published: Transforming Skin Cancer Diagnosis with Artificial Intelligence
I am incredibly proud to announce the official publication of my latest research article, "Artificial intelligence for non-invasive imaging diagnosis of basal cell carcinoma: A systematic review."
The paper is now live in the Electronic Journal of General Medicine, a highly respected, Scopus-indexed journal published by Modestum LTD.
Why This Research Matters Basal cell carcinoma (BCC) is the most frequently occurring form of skin cancer globally. Historically, securing a definitive diagnosis has required invasive physical biopsies. Today, the rapid convergence of artificial intelligence and non-invasive imaging technology is fundamentally shifting the landscape of dermatological care.
In this comprehensive systematic review, we evaluate the current state of AI-driven diagnostic models and their ability to accurately identify BCC without the need for a scalpel. By integrating advanced algorithms with imaging modalities, clinical teams can achieve highly accurate, pain-free diagnoses. This research highlights the technologies bridging the gap between clinical evaluation and digital innovation, ultimately paving the way for faster interventions and improved patient experiences.
Read the Full Paper Whether you are a healthcare provider, an AI developer, or simply passionate about the future of MedTech, I invite you to read the full open-access review.
Full Article: Read the paper here
DOI: 10.29333/ejgm/19771
A sincere thank you to my colleagues, peers, and the editorial team at the Electronic Journal of General Medicine and Modestum LTD for supporting this vital research.
I would love to hear your thoughts on the findings—please feel free to read, comment, and share the article with your own network to keep the conversation going around AI in modern medicine.

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