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- 18 Journal of Medical Internet Research
- 13 JMIR Medical Informatics
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This is consistent with the 21st Century Cures Act (hereinafter Cures Act) Final Rule, implemented in April 2021, which aims to put patients at the center of their health information by guaranteeing complete access to their medical imaging records, with limited exceptions [2]. For imaging reports, this means that the Cures Act mandates that imaging reports must immediately be made available to patients through an online portal.
J Particip Med 2025;17:e72362
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The Physical Activity, Imaging, and Ambulatory Testing (PHIAT) project was a high-frequency, ambulatory assessment study conducted over the course of 2019-2024. The project was sponsored by the National Institute on Aging of the National Institutes of Health as part of an R00 Career Development Award (R00 AG056670; principal investigator: JGH).
JMIR Res Protoc 2025;14:e66290
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However, with the large-scale deployment of Machine Learning as a Service (MLaa S) platforms, these barriers to entry are minimized, allowing domain-specific experts (ie, pathologists and medical imaging professionals) to make use of advanced AI/ML tools [21]. “Auto ML” algorithms and cloud-based ML platforms such as Amazon’s Sagemaker and Google’s Vertex AI provide affordable, easy-to-access options that reduce overall costs by allocating centralized computer resources on demand to end users [22].
JMIR Form Res 2025;9:e67457
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Medical thermography results from decades of research and development in the performance of infrared imaging equipment, standardization of technique, and clinical protocols for thermal imaging [11,12]. It could visualize diseases not readily detected or monitored by other methods. It is a fast, passive, noncontact, and noninvasive imaging method that has been used by numerous peer-reviewed studies [13].
JMIR Diabetes 2025;10:e65209
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Although there are over 20 Food and Drug Administration (FDA)–approved AI applications for breast imaging, their adoption and utilization in clinical settings remain highly variable and generally low [6]. Significant barriers to the implementation of AI in breast screening include inconsistent performance, limited generalizability of AI algorithms across diverse scenarios, and a lack of confidence among health care providers.
J Med Internet Res 2025;27:e62941
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Moreover, other CVD manifestations, such as myocardial perfusion and mitochondrial dysfunction, may precede a myocardial injury detected by echocardiography; this can only be recognized by a higher level of imaging modalities, which use targeted radiotracers such as cardiac magnetic resonance imaging (CMR) and nuclear imaging to provide information on specific mechanisms of cardiotoxicity [24].
JMIR Cancer 2025;11:e63964
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Chadebec et al [1] have recently demonstrated, by using a VAE, that the artificial augmentation of medical imaging data significantly improved classification accuracy. The balanced accuracy increases from 66% to 74% for a convolutional neural network classifier trained with small datasets (50 magnetic resonance images each of cognitively healthy individuals and patients with Alzheimer disease), while improving greatly the sensitivity and specificity of the classification metrics [1].
J Med Internet Res 2025;27:e63130
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CNNs automatically extract and learn hierarchical features from grid-like data, such as images, and have achieved performance levels comparable to or surpassing those of human experts in various medical imaging domains [8]. In dermatological and wound imaging, CNNs have demonstrated promising results, matching or even exceeding the diagnostic accuracy of dermatologists in classifying skin cancer and other skin lesions [9].
JMIR Med Inform 2025;13:e62774
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However, techniques such as dual X-ray absorptiometry or body magnetic resonance imaging (MRI) are necessary to accurately assess lean or muscle mass. These methods can increase costs and time and are impractical in settings such as dementia clinics [6].
Dementia patients are highly affected by sarcopenia, with a prevalence of around 60%‐70% [7,8].
JMIR Aging 2025;8:e63686
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Using magnetic resonance imaging (MRI), physicians can diagnose a host of different pediatric conditions without exposing children to harmful ionizing radiation. Every year, millions of children get an MRI examination. To be able to have a successful examination, children need to enter a room with a large machine, lie down on a table that slides into this machine, and keep very still for an extended period of time (20-40 min, with some examinations taking up to an hour [1]).
JMIR Serious Games 2025;13:e55720
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