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Research 31–60 of 1000+
- Non-cicatricial Alopecia: Diagnosis Made Easy
- DIAGNOSTIC VALUE OF TRICHOSCOPY IN THE DIFFERENTIAL DIAGNOSIS OF VARIOUS FORMS OF ALOPECIA
- Artificial Intelligence in Dermatology: Assessing Predictability in Clinical Diagnosis
- Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
- A Study on the Development of a Web Platform for Scalp Diagnosis Using EfficientNet
- Enhancing the diagnostic yield of monogenic diabetes in unresolved cases with early-onset hyperglycemia
- Novel diagnostic tools and markers for inflammatory skin diseases
- Clinical diagnosis of COVID-19: a prompt, feasible, and sensitive diagnostic tool for COVID-19 based on a 1,757-patient cohort (The AndroCoV Clinical Scoring for COVID-19 diagnosis)
- Clinical diagnosis of COVID-19: a prompt, feasible, and sensitive diagnostic tool for COVID-19 based on a 1,757-patient cohort (The AndroCoV Clinical Scoring for COVID-19 diagnosis).
- Comparative Analysis of Machine Learning Algorithms in Diagnosis of Polycystic Ovarian Syndrome
- Optimizing skin disease diagnosis: harnessing online community data with contrastive learning and clustering techniques
- Minimizing Bias in Alopecia Diagnosis in Skin of Color Patients
- Identification of Potential Biomarkers for Diagnosis of Patients with Methamphetamine Use Disorder
- TOWARDS NOVEL DIAGNOSTIC MARKER BASED ON BREAST ARTERIAL CALCIFICATIONS
- Advancing Hair Disease Diagnostics: A Deep Learning Approach Using Inception-ResNet v2 for Multi-Class Classification
- Circulating MicroRNA Signatures in Severe Alopecia Areata: Diagnostic Discrimination, Pathway Analysis, and Therapeutic Implications
- A Data-Driven Approach to Polycystic Ovary Syndrome Diagnosis: Evaluating Machine Learning Models
- Convolutional Neural Networks for Non-Invasive Diagnosis of Androgenetic Alopecia using Dermoscopic Hair Images
- A DEEP LEARNING APPROACH FOR DIAGNOSIS OF COVID-19 INFECTION AND ITS RELATED FACTORS: A POPULATION-BASED STUDY
- Embryologic layers in dermatology: Developmental checkpoint disorders, diagnostic insight, and regenerative futures
- Alopecias: Practical Tips for the Management of Biopsies and Main Diagnostic Clues for General Pathologists and Dermatopathologists
- PEDL-XAI: A Hybrid Probabilistic Ensemble Deep Learning Approach for Hair Disorder Diagnosis
- Harnessing Microbiome, Bacterial Extracellular Vesicle, and Artificial Intelligence for Polycystic Ovary Syndrome Diagnosis and Management
- Automated Classification of Male and Female Pattern Hair Loss Stages Using EfficientNet According to the Hamilton-Norwood and Ludwig Scale
- The diagnosis of nonclassic congenital adrenal hyperplasia due to 21-hydroxylase deficiency, based on serum basal or post-ACTH stimulation 17-hydroxyprogesterone, can lead to false-positive diagnosis
- Assessment of diagnostic competence of plasmatic androgens on polycystic ovary syndrome based on receiver operator characteristic curves
- HairLossMultinet: A Multi Scale Feature Fusion Method Using Deep Learning Approach
- Diagnosis of childhood and adolescent growth hormone deficiency using transcriptomic data
- CNN-KNN Model for Assessing Hair Health in Telogen Effluvium
- A Three-Step Diagnostic Algorithm for Alopecia: Pattern Analysis in Trichoscopy