In this study, a machine-learning model was evaluated for its ability to categorize various hair conditions, achieving high accuracy and balance between precision and recall, with an overall accuracy of 97% in detecting hair problems.
March 2026 in “Applied Sciences” In this scoping review, researchers observed that while AI-assisted trichoscopy holds promise for standardized assessments of hair and scalp disorders, its clinical translation is limited by small proprietary datasets, inconsistent validation protocols, and a scarcity of real-world clinical studies.
January 2025 in “Directory of Open access Books (OAPEN Foundation)” This book reviews the symptoms, diagnosis, and treatments for Polycystic Ovary Syndrome, providing a comprehensive exploration but reports no new clinical results.
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January 2026 in “Frontiers in Cell and Developmental Biology” This study reviews the transformative role of artificial intelligence in biomaterial design, highlighting its ability to reduce costs through virtual screening, enhance material performance, and predict biological interactions to advance personalized and precision medicine.
June 2025 in “International Journal of Computational Intelligence Systems” This study introduces a novel computational model using fuzzy logic and multi-criteria decision-making techniques to create a triage system for androgenetic alopecia management, stratifying patients into seven severity levels and aiding in resource allocation and treatment planning.