research Optical coherence tomography as a minimally invasive androgenic alopecia diagnostic platform (Conference Presentation)
OCT can effectively diagnose different stages of hair loss non-invasively.
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360-390 / 1000+ resultsresearch SZTUCZNA INTELIGENCJA (AI). CZY TO JUŻ ŚWIT DLA SMART BEAUTY I SMART DERMATOLOGY?
AI is advancing in dermatology and cosmetology, raising questions about its potential and trustworthiness.
research Editorial: Progress and Prospects on Skin Imaging Technology, Teledermatology and Artificial Intelligence in Dermatology
New skin imaging, teledermatology, and AI could become key in future dermatology care.
research Development and Assessment of an Artificial Intelligence–Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology Practices
The AI tool helped primary care doctors and nurse practitioners diagnose skin conditions more accurately.
research Confocal microscopy and optical coherence tomography of inflammatory skin diseases in hairs and pilosebaceous units: A systematic review
RCM and OCT are effective for diagnosing and monitoring hair-related skin diseases but lack standardized protocols and need more research.
research Label-free multiphoton imaging to assess neoadjuvant therapy responses in breast carcinoma
Multiphoton microscopy can effectively assess breast cancer treatment responses without labels.
research Use of artificial intelligence to track platelet-rich plasma treatment outcomes in females with nonscarring alopecia: A case series
AI can help track and improve hair loss treatment outcomes.
research Photoacoustic Imaging as a Tool for Assessing Hair Follicular Organization
Photoacoustic imaging can accurately assess hair follicle density and orientation for hair transplant planning.
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 Application of Automated mRNA In Situ Hybridization for Formalin-fixed, Paraffin-embedded Mouse Skin Sections
Combining cell conditioning with mild protease digestion effectively shows versican mRNA in mouse skin sections.
research Hair and Scalp Disease Detection using Machine Learning and Image Processing
The machine learning model accurately detected hair loss and scalp diseases using processed images.
research OPTICAL COHERENCE TOMOGRAPHY AS AN ADVANCED TOOL IN DIFFERENT APPLICATIONS
Optical Coherence Tomography has potential in diagnosing hair loss and monitoring blood clotting, and could be improved for deeper tissue observation and better hair loss understanding.
research A Comprehensive Approach to Hair Pathology of Horizontal Sections
A new method using visual aids to diagnose hair diseases was effective after brief training.
research TOWARDS NOVEL DIAGNOSTIC MARKER BASED ON BREAST ARTERIAL CALCIFICATIONS
Detecting early breast arterial calcifications can help assess cardiovascular disease risk.
research Artificial Intelligence in Aesthetic Medicine: Applications, Challenges, and Future Directions
AI improves aesthetic medicine but faces challenges like biases and privacy issues that need addressing for successful integration.
research A Feature-Preserving Hair Removal Algorithm for Dermoscopy Images
The algorithm effectively removes hair from skin images, improving melanoma diagnosis accuracy.
research Analyse trichoskopischer Bilder mit tiefen neuronalen Netzen zur Diagnose und Aktivitätsbewertung von Alopecia areata – eine retrospektive Studie
Deep-learning models can effectively diagnose and assess Alopecia areata using scalp images.
research A New Technique for Quantitative Analysis of Hair Loss in Mice Using Grayscale Analysis
A new method measures mouse hair loss using shades of gray.
research Generative Artificial Intelligence Tools: Evaluating Ways to Automate Your SALT (GATEWAYS) Scoring of Alopecia Areata
Generative AI tools like GPT-4o can effectively automate SALT scoring for alopecia areata, matching clinician accuracy.
research Electron microscopy-image analysis: Quantification of ultrastructural changes in hair fiber cross sections as a
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 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 Volume imaging to interrogate cancer cell-tumor microenvironment interactions in space and time
Advanced imaging methods have improved understanding of cancer cell interactions and treatment strategies.
research 199 Computer vision AI-based androgenetic alopecia analysis using a novel mobile web app
The MDhair app accurately assesses hair loss severity with 94% accuracy.
research Line‐field confocal optical coherence tomography in alopecia areata and histopathological correlation
LC-OCT is a useful noninvasive tool for diagnosing and monitoring alopecia areata.
research Three‐dimensional imaging and analysis of the surface of hair fibres using scanning electron microscopy
The new 3D imaging method accurately measures hair surface details quickly.
research SZTUCZNA INTELIGENCJA SI W NACZYNIOWEJ CHIRURGII, TERAŹNIEJSZOŚĆ I PRZYSZŁOŚĆ
AI improves vascular surgery by enhancing precision and safety, but doctors make final decisions.
research Patient Perspectives regarding Artificial Intelligence-Driven Trichoscopy for Alopecia Evaluation
Patients found AI helpful for alopecia diagnosis but want it to support, not replace, doctors.
research SZTUCZNA INTELIGENCJA W LECZENIU STOPY CUKRZYCOWEJ
AI can improve early diagnosis and treatment of diabetic foot complications but requires addressing training and ethical challenges.
research GAN-Based ROI Image Translation Method for Predicting Image after Hair Transplant Surgery
The new method predicts post-hair transplant images more accurately than other methods.