AIMC Topic: Skin Diseases
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Deep learning-assisted multispectral imaging for early screening of skin diseases.
Photodiagnosis and photodynamic therapy
Jul 26, 2024
INTRODUCTION: Melanocytic nevi (MN), warts, seborrheic keratoses (SK), and psoriasis are four common types of skin surface lesions that typically require dermatoscopic examination for definitive diagnosis in clinical dermatology settings. This proces...
ChatGPT and dermatology.
Italian journal of dermatology and venereology
Jul 23, 2024
Since the development of the artificial intelligence (AI), several applications have been proposed. Among these, the intersection of AI and medicine has sparked a wave of innovation, revolutionizing various aspects of healthcare delivery, diagnosis, ...
Interpretable machine learning for dermatological disease detection: Bridging the gap between accuracy and explainability.
Computers in biology and medicine
Jul 23, 2024
Research on disease detection by leveraging machine learning techniques has been under significant focus. The use of machine learning techniques is important to detect critical diseases promptly and provide the appropriate treatment. Disease detectio...
Revolutionizing teledermatology: Exploring the integration of AI, including GPT chatbots for AI-driven anamnesis, diagnosis, and treatment plans: Correspondence.
Clinics in dermatology
Jul 14, 2024
Efficacy of an Artificial Intelligence App (Aysa) in Dermatological Diagnosis: Cross-Sectional Analysis.
JMIR dermatology
Jul 2, 2024
BACKGROUND: Dermatology is an ideal specialty for artificial intelligence (AI)-driven image recognition to improve diagnostic accuracy and patient care. Lack of dermatologists in many parts of the world and the high frequency of cutaneous disorders a...
Deep Deblurring in Teledermatology: Deep Learning Models Restore the Accuracy of Blurry Images' Classification.
Telemedicine journal and e-health : the official journal of the American Telemedicine Association
Jun 27, 2024
Blurry images in teledermatology and consultation increased the diagnostic difficulty for both deep learning models and physicians. We aim to determine the extent of restoration in diagnostic accuracy after blurry images are deblurred by deep learni...
Underserved populations and health equity in dermatology: Digital medicine and the role of artificial intelligence.
Clinics in dermatology
Jun 27, 2024
We have reviewed the current literature focused on the role of artificial intelligence (AI) for underserved populations and health equity in dermatology. Studies evaluating the utility and safety of AI model builds, and how they meet predefined bench...
Revolutionizing teledermatology: Exploring the integration of artificial intelligence, including Generative Pre-trained Transformer chatbots for artificial intelligence-driven anamnesis, diagnosis, and treatment plans.
Clinics in dermatology
Jun 27, 2024
The integration of teledermatology and artificial intelligence (AI) marks a significant advancement in dermatologic care. This study examines the synergistic interplay between these two domains, highlighting their collective impact on enhancing the a...
Is artificial intelligence useful in the practice of geriatric dermatology?
Clinics in dermatology
Jun 26, 2024
Geriatric dermatology has gained increasing importance through the years, alongside a steadily aging global population. Simultaneously, artificial intelligence (AI) technologies have become more advanced, and AI has been found to be useful in the gen...
Artificial intelligence in dermatopathology: Updates, strengths, and challenges.
Clinics in dermatology
Jun 21, 2024
Artificial intelligence (AI) has evolved to become a significant force in various domains, including medicine. We explore the role of AI in pathology, with a specific focus on dermatopathology and neoplastic dermatopathology. AI, encompassing machine...
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