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.
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research Imaging Tools for Noninvasive Hair Assessment
New imaging tools help doctors better examine hair and scalp health without surgery.
research InCISE : Instrument for Comprehensive Incisional and Surgical Evaluation
The InCISE score is a promising tool for assessing wound healing in head and neck surgery but needs more research for broader use.
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 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 Developing Optical Biometrics Using Optical Coherence Tomography for Medical Screening and Diagnosis
OCT can effectively screen and diagnose various medical conditions non-invasively.
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 Electron microscopy-image analysis: Quantification of ultrastructural changes in hair fiber cross sections as a
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 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 Hair & Scalp Disease Detection Using Machine Learning & Image Processing
AI can accurately diagnose hair and scalp conditions and suggest treatments.
research MALDI (matrix assisted laser desorption ionization) Imaging Mass Spectrometry (IMS) of skin: Aspects of sample preparation
MALDI Imaging Mass Spectrometry is a useful method for studying skin conditions, but sample preparation is crucial for accurate results.
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 Optical coherence tomography as a minimally invasive androgenic alopecia diagnostic platform (Conference Presentation)
OCT can effectively diagnose different stages of hair loss non-invasively.
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 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 Rethinking pattern hair loss classification in the era of trichoscopy and artificial intelligence
A hybrid model using traditional methods, trichoscopy, and AI improves hair loss assessment.
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.
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 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 Quantitative analysis and development of alopecia areata classification frameworks
A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
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 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 AB-MTEDeep Classifier Trained with AAGAN for the Identification and Classification of Alopecia Areata
The AI model accurately classifies Alopecia Areata with 96.94% accuracy.
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 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 From Diagnosis to Prognosis: A Scoping Review of Artificial Intelligence in Alopecia Research
AI in alopecia research needs better tools for predicting treatment outcomes and ensuring fairness.
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 Artificial Intelligence as the New Backbone of Aesthetic Practice in India: A Comprehensive, Fully Referenced Industry Whitepaper
AI is now essential in Indian aesthetic medicine.
research What happens when simulations get real and cosmetic dermatology goes virtual?
AI and AR are improving cosmetic dermatology but face challenges like data quality and ethical concerns.