AIMC Topic: Dermatology

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Representations of skin tone and sex in dermatology by generative artificial intelligence: a comparative study.

Clinical and experimental dermatology
With generative artificial intelligence (AI) demonstrating potential in dermatological education, assessment of skin tone diversity is imperative to ensure comprehensive patient care. Evaluating DALLĀ·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
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...

OCT in dermatology: a process for determining whether a fully diversified dataset is needed for AI model-building.

Optics letters
Optical coherence tomography (OCT) has sufficient depth penetration for detection of skin pathologies, but its detection effectiveness can be aided by the assistance of artificial intelligence (AI) modeling. AI model-building identifies pathologies b...

Diagnostic tools and methods for dermatological assessment.

British journal of nursing (Mark Allen Publishing)
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
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...

Rising Influence of Artificial Intelligence: Trends in Large Language Model Usage in Dermatology Residency Personal Statements.

Journal of drugs in dermatology : JDD
With the public release of ChatGPT before the 2024 dermatology residency application cycle, applicants gained access to an advanced language model capable of generating or enhancing personal statements. This study examines trends in artificial intell...

The use of ChatGPT in the dermatological field: a narrative review.

Clinical and experimental dermatology
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
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...

Assessing diagnostic performance for common skin diseases using an AI-assisted tele-expertise platform: a proof of concept.

European journal of dermatology : EJD
Advancements in machine learning (ML) are making artificial intelligence more feasible in dermatology, with promising results for diagnosing skin cancers, though few studies cover common or inflammatory dermatoses. To evaluate the diagnostic accuracy...