research Boundary-aware Multi-stage with Mobile U-Net for Hair Segmentation in Dermoscopic Images
The new method improves hair segmentation in skin images, helping detect skin cancer more accurately.
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360-390 / 1000+ results research Progress in computer-assisted function analysis
research Hair Follicle Classification and Hair Loss Severity Estimation Using Mask R-CNN
An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.
research Testing for GHB in Hair by GC/MS/MS after a Single Exposure. Application to Document Sexual Assault
Hair testing can detect a single GHB exposure, useful for documenting sexual assault.
research The prediction of hairfall pattern in a person using artificial intelligence for better care and treatment
AI can predict hair loss patterns to improve care and treatment.
research KRDQN: An Interpretable Prediction Framework for Adverse Drug Reactions via Knowledge–Graph Reinforced Deep Q-Learning
KRDQN effectively predicts adverse drug reactions with high accuracy and clear explanations.
research Deep Learning Based Non-Invasive Framework for Nutritional Deficiency Detection Using Hair and Nail Images
A deep learning method can detect nutritional deficiencies from hair and nail images with 89% accuracy.
research Innovative approaches to baldness detection and management with artificial intelligence and machine learning
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 New investigational drugs for androgenetic alopecia
Possible new treatments for common hair loss include drugs, stem cells, and improved transplants.
research Estimation of biological heart age using cardiovascular magnetic resonance radiomics
Obesity and lifestyle strongly affect heart aging.
research Scalp immersion proxigraphy (SIP): an improved imaging technique for phototrichogram analysis*
SIP is a better method for measuring hair growth accurately.
research Hair Transplantation Update
The document details hair transplantation techniques and innovations, highlighting Follicular Unit Transplantation as the standard and discussing the effectiveness and challenges of the procedure.
research Characteristics of robotically harvested hair follicles in Koreans
The robotic hair restoration device had a high success rate and was faster than manual methods for Korean patients.
research Current Indications of Low-Level Laser Therapy in Plastic Surgery: A Review
Low-Level Laser Therapy may help with flap survival and burn scar healing, but not with venous ulcers or hair loss, and more research is needed.
research Quantification of hair follicle parameters using computer image analysis: A comparison of androgenetic alopecia with normal scalp biopsies
Hair follicles are smaller in people with androgenetic alopecia compared to those with normal scalps.
research Hair toe tourniquets: a review of two case studies
Educating healthcare workers and parents about hair toe tourniquets can help prevent serious complications.
research Case 5: A Very Tall 7-year-old Boy with Medulloblastoma
A 7-year-old boy with a brain tumor developed early puberty, which was successfully treated with medication.
research A computationally inferred regulatory heart aging model including post-transcriptional regulations
Researchers created a model to understand heart aging, highlighting key genes and pathways, and suggesting miR-208a as a potential heart attack biomarker.
research A Comprehensive Survey on Vitiligo Detection Using Deep Learning
Better datasets and methods are needed for reliable vitiligo detection using deep learning.
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 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.