research Artificial Intelligence Deep Learning Ultrasound Discrimination of Cosmetic Fillers
AI can accurately identify some cosmetic fillers in ultrasound images but needs improvement for others.
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research Mice with Alopecia, Osteoporosis, and Systemic Amyloidosis Due to Mutation in Zdhhc13, a Gene Coding for Palmitoyl Acyltransferase
A gene mutation in mice causes hair loss, weak bones, and protein buildup, showing how protein processing issues can lead to diseases.
research Research on Mental Stress Recognition of Depressive Disorders in Patients With Androgenic Alopecia Based on Machine Learning and Fuzzy K-Means Clustering
The FAW-FS algorithm improves depression recognition, and psychological interventions help AGA patients' mental health.
research Shifting IRES versus Cap-initiated translation during homeostatic stem cell differentiation and stress
Caloric stress and differentiation increase IRES translation, affecting stem cell function and potential therapies.
research The impact of alopecia areata on patients' daily lives: A study using social media in France
Alopecia areata significantly affects patients' lives, causing physical, psychological, social, and financial challenges.
research Oral Presentations: Abstracts of the Urological Society of Australia and New Zealand Annual Scientific Meeting, 25–28 February 2023, Melbourne, Australia
Urologists should monitor mental health in patients taking finasteride due to potential links to suicidal thoughts, adjusting dosage or stopping use if necessary. More research is needed to confirm if finasteride causes these thoughts.
research Multivariate Profiles of Female Sexual Function: A Cluster Analysis of FSFI Domains in Women with and Without PCOS
Addressing body image and weight can help improve female sexual dysfunction.
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 Follicular Map: A Novel Approach to Quantitative Trichoscopy
The new Follicular Map method could help assess hair treatment effectiveness but has some limitations.
research Hair color digitization through imaging and deep inverse graphics
A new method accurately captures and renders hair color for virtual reality and hair dye use.
research Autonomous Robotic Surgery: Has the Future Arrived?
Autonomous robotic surgery is advancing but still requires human supervision for complex procedures.
research ZASTOSOWANIE RZECZYWISTOŚCI WIRTUALNEJ W CHIRURGII NACZYNIOWEJ
Augmented reality improves vascular surgery by reducing risks and operation times.
research Harnessing Deep Learning for Scalp and Hair Disease Classification: A Comparative Study of Convolutional Neural Networks Architectures
VGG16 and VGG19 are the most accurate for classifying scalp and hair diseases.
research Detection of Meibomian Gland Dysfunction by in vivo Confocal Microscopy Based on Deep Convolutional Neural Network
The model can effectively help diagnose meibomian gland dysfunction automatically.
research CZY SZTUCZNA INTELIGENCJA MA I BĘDZIE MIAŁA WPŁYW NA EFEKTYWNIEJSZE LECZENIE W CHIRURGII NACZYNIOWEJ?
AI improves vascular surgery by enhancing diagnostics, planning, and monitoring.
research SYNERGIA AI I MEDYCYNY: SZANSE I WYZWANIA
AI is transforming healthcare by improving diagnostics and therapy, despite challenges with data and trust.
research NOWA ERA W KARDIOCHIRURGII – CHIRURGIA ROBOTOWA I SZTUCZNE SERCE
Robotic surgery and artificial hearts are revolutionizing cardiac surgery.
research Critical study of hair growth analysis with computer-assisted methods
The Trichoscan system was found to be inaccurate for measuring hair growth, needing better software to be useful.
research Region-specific reversal of epidermal planar polarity in the rosette fancy mouse
Hair follicles in the back of the rosette fancy mouse have reversed orientations due to a gene mutation.
research Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
A machine learning model can predict alopecia areata early using specific gene markers.
research Validation of TrichoScan® technology as a fully-automated tool for evaluation of hair growth parameters
TrichoScan® is a reliable tool for measuring hair growth, providing quicker and more consistent results than manual methods.
research Androgen- and Estrogen-Secreting Adrenal Cancers
Rare adrenal cancers that secrete androgens or estrogens have a poor prognosis and are treated primarily with surgery.
research Hair Loss Diagnosis Using Artificial Neural Networks
Neural networks can effectively predict hair loss.
research A Combinatorial Tweet Clustering Methodology Utilizing Inter and Intra Cosine Similarity
The method effectively grouped tweets into categories without knowing the number of groups beforehand.
research Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
Deep learning effectively diagnoses scalp disorders, but improvements are needed.
research THE POTENTIAL OF AI TO ENHANCE MEDICAL EDUCATION: OPPORTUNITIES, CHALLENGES, AND ETHICAL CONSIDERATIONS
AI can greatly improve medical education by personalizing learning and enhancing skills, but challenges like cost, training, and ethics need addressing.
research Artificial Intelligence in Non-Surgical Cosmetic Procedures: A Multi-Stakeholder Revolution
AI is revolutionizing non-surgical cosmetic procedures by improving personalization, safety, and access.
research Emerging smart microneedle technologies in psoriasis: convergence of nanocarriers, machine learning, and personalized delivery
Smart microneedles using advanced tech could improve psoriasis treatment.
research ADVANCES IN FUNCTIONAL NEUROSURGERY – MACHINE LEARNING, NEURAL ENGINEERING AND ROBOTICS IN TREATMENT OF NEURODEGENERATIVE DISORDERS
AI and robotics are improving treatment and monitoring of neurodegenerative disorders like Parkinson's.
research HOW AI CAN SUPPORT FOLLICULAR LYMPHOMA DIAGNOSIS
AI can help diagnose Follicular Lymphoma by accurately identifying specific cell types.