Addressing fairness issues in deep learning-based medical image analysis: a systematic review
Deep learning algorithms have demonstrated remarkable efficacy in various medical image
analysis (MedIA) applications. However, recent research highlights a performance disparity …
analysis (MedIA) applications. However, recent research highlights a performance disparity …
Facet: Fairness in computer vision evaluation benchmark
Computer vision models have known performance disparities across attributes such as
gender and skin tone. This means during tasks such as classification and detection, model …
gender and skin tone. This means during tasks such as classification and detection, model …
A survey of skin tone assessment in prospective research
Increasing evidence supports reduced accuracy of noninvasive assessment tools, such as
pulse oximetry, temperature probes, and AI skin diagnosis benchmarks, in patients with …
pulse oximetry, temperature probes, and AI skin diagnosis benchmarks, in patients with …
Omnimedvqa: A new large-scale comprehensive evaluation benchmark for medical lvlm
Abstract Large Vision-Language Models (LVLMs) have demonstrated remarkable
capabilities in various multimodal tasks. However their potential in the medical domain …
capabilities in various multimodal tasks. However their potential in the medical domain …
Deep learning-aided decision support for diagnosis of skin disease across skin tones
Although advances in deep learning systems for image-based medical diagnosis
demonstrate their potential to augment clinical decision-making, the effectiveness of …
demonstrate their potential to augment clinical decision-making, the effectiveness of …
Transparent medical image AI via an image–text foundation model grounded in medical literature
Building trustworthy and transparent image-based medical artificial intelligence (AI) systems
requires the ability to interrogate data and models at all stages of the development pipeline …
requires the ability to interrogate data and models at all stages of the development pipeline …
Skin deep: Investigating subjectivity in skin tone annotations for computer vision benchmark datasets
To investigate the well-observed racial disparities in computer vision systems that analyze
images of humans, researchers have turned to skin tone as a more objective annotation …
images of humans, researchers have turned to skin tone as a more objective annotation …
Skin tone analysis for representation in educational materials (star-ed) using machine learning
Images depicting dark skin tones are significantly underrepresented in the educational
materials used to teach primary care physicians and dermatologists to recognize skin …
materials used to teach primary care physicians and dermatologists to recognize skin …
A web-based mpox skin lesion detection system using state-of-the-art deep learning models considering racial diversity
The recent 'Mpox'outbreak, formerly known as 'Monkeypox', has been a significant public
health concern and spread to over 110 countries globally. The challenge of clinically …
health concern and spread to over 110 countries globally. The challenge of clinically …
Beyond skin tone: A multidimensional measure of apparent skin color
This paper strives to measure apparent skin color in computer vision, beyond a
unidimensional scale on skin tone. In their seminal paper Gender Shades, Buolamwini and …
unidimensional scale on skin tone. In their seminal paper Gender Shades, Buolamwini and …