AIMC Topic: Skin Diseases
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Machine learning workflow to enhance predictions of Adverse Drug Reactions (ADRs) through drug-gene interactions: application to drugs for cutaneous diseases.
Scientific reports
Jun 16, 2017
Adverse drug reactions (ADRs) pose critical public health issues, affecting over 6% of hospitalized patients. While knowledge of potential drug-drug interactions (DDI) is necessary to prevent ADR, the rapid pace of drug discovery makes it challenging...
Utilization of a 3D printer to fabricate boluses used for electron therapy of skin lesions of the eye canthi.
Journal of applied clinical medical physics
Nov 30, 2016
This work describes the use of 3D printing technology to create individualized boluses for patients treated with electron beam therapy for skin lesions of the eye canthi. It aimed to demonstrate the effectiveness of 3D-printed over manually fabricate...
DermO; an ontology for the description of dermatologic disease.
Journal of biomedical semantics
Jun 13, 2016
BACKGROUND: There have been repeated initiatives to produce standard nosologies and terminologies for cutaneous disease, some dedicated to the domain and some part of bigger terminologies such as ICD-10. Recently, formally structured terminologies, o...
Representations of skin tone and sex in dermatology by generative artificial intelligence: a comparative study.
Clinical and experimental dermatology
Jul 24, 2025
With generative artificial intelligence (AI) demonstrating potential in dermatological education, assessment of skin tone diversity is imperative to ensure comprehensive patient care. Evaluating DALL·E 3, Midjourney and DreamStudio Beta, we generated...
Dermacen analytica: A novel methodology integrating multi-modal large language models with machine learning in dermatology.
International journal of medical informatics
Jul 1, 2025
OBJECTIVE: To design, implement, evaluate, and quantify a novel and adaptable Artificial Intelligence-empowered methodology aimed at supporting a dermatologist's workflow in assessing and diagnosing skin conditions, leveraging AI's deep image analyti...
Improving skin lesion classification through saliency-guided loss functions.
Computers in biology and medicine
Jun 1, 2025
Deep learning has significantly advanced computer-aided diagnosis, particularly in skin lesion classification. However, achieving high classification performance and providing explainable model predictions remain challenging in medical imaging. To ta...
Diagnostic tools and methods for dermatological assessment.
British journal of nursing (Mark Allen Publishing)
May 22, 2025
Advanced clinical practitioners (ACPs) play an essential role in dermatological care but often encounter challenges due to limited training in dermatological assessments and investigations. This two-part series aims to address these gaps by offering ...
Artificial intelligence in dermatology and healthcare: An overview.
Indian journal of dermatology, venereology and leprology
May 13, 2025
Many aspects of our life are affected by technology. One of the most discussed advancements of modern technologies is artificial intelligence. It involves computational methods which in some way mimic the human thought process. Just like other branch...
The use of ChatGPT in the dermatological field: a narrative review.
Clinical and experimental dermatology
Apr 24, 2025
Artificial intelligence (AI) encompasses the development of computer systems capable of tasks typically requiring human intelligence, such as visual perception, speech recognition, decision-making and language translation. Over time, numerous applica...
Artificial intelligence in dermatopathology: a systematic review.
Clinical and experimental dermatology
Jan 27, 2025
Medical research, driven by advancing technologies like artificial intelligence (AI), is transforming healthcare. Dermatology, known for its visual nature, benefits from AI, especially in dermatopathology with digitized slides. This review explores A...
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