research Comparison of large language models in generating patient handouts for the dermatology clinic: A blinded study
ChatGPT is preferred for creating dermatology patient handouts, but all models can be useful with oversight.
Search
for
Sort by
Research
450-480 / 1000+ results
research Central centrifugal cicatricial alopecia
CCCA is a common, progressive hair loss condition that may not always be linked to hair care practices and requires a biopsy for diagnosis.
research Dodatek A: Model matematyczny AL/RC/ASE. Functional Androgen Axis (FOA) - wersja operacyjna v1.2
The model improves understanding of androgen interactions by focusing on signal intensity and system capacity.
research Dodatek A: Model matematyczny AL/RC/ASE. Functional Androgen Axis (FOA) - wersja operacyjna v1.2
The model improves understanding of androgen interactions by focusing on signal intensity and system capacity.
research 44566 Indications to use combined robotic and specialized tool assisted techniques for hair transplant
Combining robotic and specialized tools improves hair transplant results.
research Classification and Frequency of Crown Whirlpool Patterns in Male Hair Transplant Patients
Understanding crown whorl patterns can improve hair transplant results for men.
research An algorithmic approach to scalp reconstructive surgery: maximization of cosmetic and functional outcomes
The approach improves scalp surgery results by tailoring techniques to defect size and location.
research Balancing Benefits and Limitations of Artificial Intelligence in Cosmetic Surgery
AI improves cosmetic surgery but requires ethical and legal oversight to ensure safe use.
research Cinnamomum burmannii Leaves-Derived Carbon Dots Promote Angiogenesis and Stimulate Hair Follicle Regeneration by Reshaping the Microenvironment of Hair Follicles
Carbon dots from Cinnamomum burmannii leaves can promote hair growth and regeneration.
research Central Centrifugal Cicatricial Alopecia Presenting with Irregular Patchy Alopecia on the Lateral and Posterior Scalp
The report found a new type of hair loss in African-American women that affects more areas of the scalp than previously thought.
research Methods of Transfer Learning for Multiclass Hair Disease Categorization
Transfer learning with three neural network architectures accurately classifies hair diseases.
research Attention Balanced Multi-Dimension Multi-Task Deep Learning for Alopecia Recognition
The new deep learning system can accurately recognize hair loss conditions with a 95.11% success rate.
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 Predictive Modeling of Hair Fall using Random Forest Algorithms
The model accurately predicts hair loss by analyzing various factors.
research Interpolated Melolabial Flaps: Reconstruction of Alar and Columellar Units
Using cheek skin and cartilage grafts for nose reconstruction after skin cancer surgery can maintain shape and function but may require multiple surgeries and hair removal in men.
research Central centrifugal cicatricial alopecia in Black men: A case series highlighting key clinical features in this cohort
The document concludes that early and accurate diagnosis of hair loss on the top of the scalp in Black men is important to distinguish CCCA from other types of hair loss.
research A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features
Machine learning can accurately diagnose PCOS non-invasively using clinical and ultrasound features.
research The Cross-section Trichometer
The Cross-section Trichometer is a promising tool for measuring hair characteristics without cutting the hair and may have various clinical uses.
research Automated digital image analysis (TrichoScan) in male patients with androgenetic alopecia; comparison with manual marking of hairs on trichoscopic images
TrichoScan needs optimization as it underestimated hair density by 38.9% compared to manual counting.
research Severity Prediction of Hair Loss in Alopecia Areata with Hybrid Deep Learning Architecture
The model accurately predicts hair loss severity in alopecia areata.
research The Punctiform Technique in Hair Transplantation
Carlos Oscar Uebel developed a hair transplant method that looks natural, has low risk, and shows full growth in 6-12 months.
research Patient Selection, Hair Transplant Design, and Hairstyle
Dr. Norwood's analysis highlights the need for careful patient selection and strategic hair transplant design to create a natural-looking hair density.
research Dermatoscopic features of central centrifugal cicatricial alopecia
Researchers found a white halo around hair in most patients with a specific type of hair loss, which helps in early diagnosis and treatment.
research Central centrifugal cicatricial alopecia: A call for additional literature in the pediatric population
More research is needed on CCCA in children, especially Black and Asian adolescents.
research Fabrication and Magnetic Characterization of Cobalt Antidot Arrays: Effect of the Surrounding Continuous Film
Dermoscopy helps dermatologists diagnose different types of hair loss accurately without always needing a biopsy.
research Quantitative morphometric analysis of hair follicles in alopecia areata
Automated image analysis helps diagnose and monitor alopecia areata by efficiently measuring hair follicles.
research Polymorphism of keratin-associated protein (KAP) 7 gene and its association with wool traits in Rambouillet sheep
The KAP 7 gene affects wool traits in Rambouillet sheep, with the BB genotype showing the best wool characteristics.
research Dermacen Analytica: A Novel Methodology Integrating Multi-Modal Large Language Models with Machine Learning in tele-dermatology
The new AI system improves remote skin condition diagnosis and access to care.
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 Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey
Reliable machine learning in medical imaging needs bias checks and data drift detection for consistent performance.