research Application of 3D Reflectance Confocal Microscopy: Melanocytic Proliferations as 3D Models; JAAD Supplemental Material
3D models from confocal microscopy improve melanoma detection on sun-damaged skin.
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research Immunofluorescence Tomography: High-resolution 3-D reconstruction by serial-sectioning of methacrylate embedded tissues and alignment of 2-D immunofluorescence images
Immunofluorescence tomography is a cost-effective method for creating detailed 3-D images of tissues.
research Multimodal Ion Beam Imaging to Correlate Elements and Metabolites at the Micron Scale Using Water Cluster Secondary Ion Mass Spectrometry and MeV Ion Beam Analysis
The method effectively images and correlates elements and metabolites in tissue samples at a micron scale.
research Automated Trichoscopic Analysis for Hair Disorder Classification Using Semantic Segmentation
An automated system can accurately classify hair disorders using image analysis.
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 Improved Hidden Markov Algorithm Based on Bayes in Low Dose CT Images
The improved algorithm enhances low-dose CT image quality significantly better than other methods.
research ZASTOSOWANIE SZTUCZNEJ INTELIGENCJI W ECHOGRAFII SERCOWEJ: KORZYŚCI I RYZYKO
AI in heart scans improves diagnosis and treatment but has risks like misdiagnosis and high costs.
research Imaging Tools for Noninvasive Hair Assessment
New imaging tools help doctors better examine hair and scalp health without surgery.
research Using disease symptomatology to guide treatment in patients with central centrifugal cicatricial alopecia: introduction of C-CAT scoring tool
The C-CAT tool helps assess and improve treatment for central centrifugal cicatricial alopecia.
research Abstract presented at the Joint meeting of the 21st meeting of the Japanese Research Society of clinical anatomy and the 6th meeting of the Society for aging image
High-resolution imaging is crucial for diagnosing and planning treatments in clinical anatomy and aging.
research Can Artificial Intelligence “Hold” a Dermoscope?—The Evaluation of an Artificial Intelligence Chatbot to Translate the Dermoscopic Language
AI chatbots can help teach dermatology but need careful checking for accuracy.
research Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
AI can improve early diagnosis and classification of PCOS, aiding in prevention of related health issues.
research A Machine Learning Algorithm Applied to Trichoscopy for Androgenic Alopecia Staging and Severity Assessment
The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.
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 An Automatic AI‐Based Algorithm That Grades the Scalp Surface Exfoliating Process From Video Imaging. Application to Dandruff Severity and Its Validation on Subjects of Different Ages and Ethnicities
The AI device accurately grades scalp exfoliation and can help diagnose scalp disorders.
research AI03 Steps towards safely deploying the world’s first autonomous artificial intelligence as a medical device for skin cancer into a National Health Service teledermatology pathway
An AI device for skin cancer was successfully integrated into the NHS, improving diagnosis accuracy and service capacity.
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 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 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 ARTIFICIAL INTELLIGENCE DERMOSCOPY AND A-T ADVANCEMENT FLAP FOR BASAL CELL CARCINOMA OF THE SCALP
The A-T advancement flap is a safe and effective method for scalp reconstruction after basal cell carcinoma removal.
research Emerging Uses of Artificial Intelligence in Chronic Dermatologic Disease: A Scoping Review
AI is useful for diagnosing skin diseases but has limitations to consider before widespread use.
research 画像解析による抗がん剤脱毛頭皮の形態構造の検証
Image analysis can effectively identify changes in scalps affected by chemotherapy-induced hair loss.
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 SI W NACZYNIOWEJ CHIRURGII, TERAŹNIEJSZOŚĆ I PRZYSZŁOŚĆ
AI improves vascular surgery by enhancing precision and safety, but doctors make final decisions.
research Advancements in Dermatological Imaging Modalities
New imaging technologies improve skin diagnosis but face cost and training challenges.
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 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 A New Technique for Quantitative Analysis of Hair Loss in Mice Using Grayscale Analysis
Researchers developed a new, precise method to measure hair loss in mice using image analysis.
research Convolutional Neural Networks for Non-Invasive Diagnosis of Androgenetic Alopecia using Dermoscopic Hair Images
Deep learning can improve non-invasive alopecia diagnosis using hair images.
research Faster calculation of scalp area in androgenetic alopecia before platelet-rich plasma therapy using the mobile application ImageMeter
Mobile app ImageMeter calculates scalp area faster and reliably for alopecia treatment.