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Skip search results from other journals and go to results- 1 JMIR AI
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Gender Bias in AI's Perception of Cardiovascular Risk
We adjusted their ages to achieve nearly identical pretest probabilities (with a maximal pretest probability gap of 5%) of obstructive coronary artery disease (CAD) based on the latest chronic coronary syndrome guidelines [11]. We submitted these cases to GPT-4, asking which patient, woman or man, had a higher risk for obstructive CAD (Textbox 1).
J Med Internet Res 2024;26:e54242
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Because radiologists gain experience and learn through the process of assessing CT cases with the AI-CAD tool and actually see what the system is capable of, they are expected to have an improved mental model of (hypothesis 1a) and psychological trust in (hypothesis 1b) the AI-CAD system after using the AI-CAD system compared with before using the system.
However, holding a positive attitude toward the AI-CAD system does not mean that the user will also act in line with its recommendations.
JMIR AI 2024;3:e52211
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The global burden of CVDs is rising, increasing from 271 million in 1990 to 523 million in 2019, and the total number of cases of CVDs have almost doubled, especially coronary artery disease (CAD) [2]. CAD occurs mainly due to the progression of atherosclerosis of coronary arteries to narrowing or occlusion, leading to blood flow limitation, which causes cardiomyocyte or myocardial necrosis [3].
JMIR Mhealth Uhealth 2023;11:e46359
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Such AI-powered methods are known as computer-assisted diagnosis (CAD) systems, and they are capable of analyzing images of the skin and subsequently recognizing malignant lesions [5]. Foto Finder (FF) is a multifunctional imaging platform that implements this CAD technology [6]. FF comprises various units adaptable for disorders related to skin, hair, and nails [7]. One such unit is the ATBM Master (Figure 1), which is optimized to detect and document changes in moles and other skin lesions [8].
JMIR Dermatol 2023;6:e44913
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