A Literature Review on Artificial Intelligence in Dermatological Diagnosis and Tissue Microscopy

IF 2.1 4区工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Photonics Journal Pub Date : 2025-04-02 DOI:10.1109/JPHOT.2025.3557447

Paul-Vasile Vezeteu;Andrei-Daniel Andronescu;Dumitru-Iulian Năstac

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Abstract

Artificial Intelligence is reshaping dermatological diagnosis and dermatopathology by leveraging computer vision to enable innovative and effective medical approaches. These technologies have the potential to democratize access to high-quality diagnostic tools by providing innovative solutions for analyzing medical images. Dermatological diagnostic processes — such as dermatoscopy, microscopy and smartphone-assisted dermatology — can be paired with AI to support medical experts to enhance accuracy and efficiency. This review systematically surveys the current scientific literature on techniques that employ intelligent systems both for dermatological diagnostics, as well as dermatopathology. Key deep learning methodologies, such as convolutional neural networks (CNNs), transfer learning, and explainable AI, are examined in the context of current medical practices. The analysis also addresses practical challenges, such as image quality, computational constraints, and data privacy. Throughout the review, emerging trends and future directions are identified, such as AI-integration as an assisting technology, and microscopy as a facilitator for intelligent system development in global healthcare. This paper aims to provide a comprehensive resource for researchers and practitioners, encouraging interdisciplinary collaboration to advance the diagnosis of dermatological conditions in both dermatology and dermatopathology.

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来源期刊

IEEE Photonics Journal ENGINEERING, ELECTRICAL & ELECTRONIC-OPTICS

CiteScore

4.50

自引率

8.30%

发文量

489

审稿时长

1.4 months

期刊介绍： Breakthroughs in the generation of light and in its control and utilization have given rise to the field of Photonics, a rapidly expanding area of science and technology with major technological and economic impact. Photonics integrates quantum electronics and optics to accelerate progress in the generation of novel photon sources and in their utilization in emerging applications at the micro and nano scales spanning from the far-infrared/THz to the x-ray region of the electromagnetic spectrum. IEEE Photonics Journal is an online-only journal dedicated to the rapid disclosure of top-quality peer-reviewed research at the forefront of all areas of photonics. Contributions addressing issues ranging from fundamental understanding to emerging technologies and applications are within the scope of the Journal. The Journal includes topics in: Photon sources from far infrared to X-rays, Photonics materials and engineered photonic structures, Integrated optics and optoelectronic, Ultrafast, attosecond, high field and short wavelength photonics, Biophotonics, including DNA photonics, Nanophotonics, Magnetophotonics, Fundamentals of light propagation and interaction; nonlinear effects, Optical data storage, Fiber optics and optical communications devices, systems, and technologies, Micro Opto Electro Mechanical Systems (MOEMS), Microwave photonics, Optical Sensors.