November 2025 in “Kufa Journal of Engineering” This study explored deep learning's potential in diagnosing scalp conditions like alopecia, psoriasis, and folliculitis, using a two-dimensional Convolutional Neural Network, achieving high accuracy and precision despite challenges of a small and uneven dataset.
January 2024 in “Wiadomości Lekarskie” This study discusses the development of AI in dermatology and cosmetology, noting its use in skin cancer diagnosis and personalized cosmetics, while highlighting uncertainties about whether recent advancements represent significant medical progress or are influenced by marketing strategies.
March 2026 in “Frontiers in Medicine” This study suggests that traditional classification systems for pattern hair loss, while useful in the past, have limitations in accuracy and reproducibility, and highlights the potential of integrating digital imaging and AI to create more precise and biologically informed classification frameworks.
June 2026 in “International Journal of Innovative Technologies in Social Science” In this narrative review, the authors highlighted that AI-supported electronic health record analysis could help recognize Polycystic Ovary Syndrome/Polyendocrine Metabolic Ovarian Syndrome earlier, but also warned that these systems might perpetuate historical biases if not properly validated and interpreted.
January 2024 in “Wiadomości Lekarskie” This study developed an AI-driven method for classifying cells in Follicular Lymphoma cases, achieving a 63% F1-score, precision, and recall in distinguishing centroblasts from other cell types using whole slide images at x20 resolution.