research A Comprehensive Survey on Vitiligo Detection Using Deep Learning
Better datasets and methods are needed for reliable vitiligo detection using deep learning.
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research Weakly-Supervised Hair SEM Microscope Image Segmentation Using a Priori Structure Information
The method improves hair image segmentation accuracy while reducing annotation costs.
research Scalp Disorder Imaging: How Deep Learning and Explainable Artificial Intelligence are Revolutionizing Diagnosis and Treatment
Deep learning and explainable AI are improving scalp disorder diagnosis, but challenges in transparency and data quality remain.
research From laboratory to operating room: Innovative use of manual blood cell counting machine for counting follicular grafts
A manual blood cell counter was effectively used to count hair follicles during surgery, being user-friendly and cost-effective but limited by a three-digit display.
research Improved forensic hair evidence for drugs of abuse by mass spectrometry
Forensic hair analysis for drugs is now more reliable and accurate.
research A Fuzzy Logic-Based Computational Framework for Precision Triage in Androgenetic Alopecia: A Simulated Biomarker-Driven Approach
The TPAP method effectively categorizes androgenetic alopecia patients with high accuracy, but needs real-world validation.
research Amplitude-guided deep reinforcement learning for semi-supervised layer segmentation
The new method improves accuracy in segmenting scalp tissue layers.
research Hair cluster detection model based on dermoscopic images
The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.
research Artificial intelligence: revolutionizing robotic surgery: review
AI in robotic surgery improves precision and safety but faces cost and ethical challenges.
research Development and validation of rapid and simultaneous method for determination of 12 hair-growth compounds in adulterated products by UHPLC–MS/MS
Researchers created a reliable method to detect hair-growth substances in products.
research Deep skin diseases diagnostic system with Dual-channel Image and Extracted Text
The AI model DIET-AI effectively diagnoses skin diseases as well as doctors.
research Strategy for Generating Blinded Evidence for Single-Arm Trials with External Controls Using Expert Review of Home Video
A new method uses expert reviews of home videos to objectively assess children's developmental milestones in single-arm trials.
research Prediction of Alopecia Areata using CNN
A new CNN model can detect Alopecia Areata with 98% accuracy.
research ARTIFICIAL INTELLIGENCE AND THE DIAGNOSTIC INVISIBILITY OF WOMEN’S METABOLIC DISORDERS: A NARRATIVE REVIEW OF SOCIO-TECHNICAL CHALLENGES IN PCOS/PMOS RECOGNITION
AI can help diagnose women's metabolic disorders earlier but must be used carefully to avoid bias.
research AB-MTEDeep Classifier Trained with AAGAN for the Identification and Classification of Alopecia Areata
The AI model accurately classifies Alopecia Areata with 96.94% accuracy.
research Robotic Hair Restoration
The ARTAS robotic system for hair restoration is efficient with fewer cuts than manual methods, but it's limited to certain hair types and can still leave scars.
research Design, proof-of-concept of single robotic hair transplant mechanisms for both harvest and implant of hair grafts
A single robotic system can accurately harvest and implant hair grafts, showing promise for real-world use.
research Chronic telogen effluvium is due to a reduction in the variance of anagen duration
Chronic hair shedding may be caused by less variation in hair growth times and might stop on its own after several years.
research Complicated Trichotillomania of a Trichobezoar about a Clinical Case
Trichotillomania can cause severe complications like hairballs in the stomach, needing surgery and psychiatric care.
research The imperfect beauty
Modern society values both traditional beauty and imperfections, but media pressures lead to more cosmetic enhancements and ethical concerns.
research Cheating on forensic hair testing? Detection of potential biomarkers for cosmetically altered hair samples using untargeted hair metabolomics
Researchers found markers that can tell if hair has been bleached, which could improve hair test accuracy.
research Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
research An Explainable AI-Based Decision Support System for Teaching and Classifying Hair Loss Types
The AI system accurately classifies hair loss types and explains its decisions.
research Development and application of emotion recognition technology — a systematic literature review
Emotion recognition tech helps devices understand emotions, but more research is needed for complex situations.
research Enhanced stratification of male pattern hair loss using AI through novel loss region ratio analysis
AI improves accuracy and consistency in diagnosing male pattern hair loss.
research Machine Learning Approach for Predicting Systemic Lupus Erythematosus in Oman-based Cohort
The machine learning model accurately predicts Systemic Lupus Erythematosus in Omani patients.
research An Integrated Approach for Diabetes Detection Using Fisher Score Feature Selection and Capsule Network
The method accurately detects diabetes with 94% effectiveness, reducing misdiagnosis risk.
research Weakly supervised learning of biomedical information extraction from curated data
The method can effectively extract biomedical information without needing expert annotation, performing better than previous models.
research Platelet-rich plasma in dermatology: Boon or a bane?
Platelet-rich plasma might help with hair growth and skin conditions, but more research is needed to prove its effectiveness and safety.
research Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
The new method improves skin cancer detection in imbalanced datasets.