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While successful incorporation of CGM into daily monitoring strategies can effectively reduce hypoglycemia as well as assist in the detection of hypoglycemic events [24], overcoming these practice barriers requires a comprehensive, stepwise implementation strategy to ensure staff are adequately trained and comfortable with the system.
Quality improvement initiatives focusing on implementing CGM in LTC can serve as useful guides for overcoming practical challenges related to everyday practice [25,26].
JMIR Diabetes 2025;10:e73485
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Therefore, early detection of MCI and subsequent early intervention are important [4]. However, most patients with cognitive decline visit a hospital after their symptoms have substantially progressed, and only a few patients visit a hospital while they are at the MCI stage [5].
Various researchers have attempted to develop assessment methods that allow for the screening of community-dwelling older individuals in their own homes.
JMIR Form Res 2025;9:e71265
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Furthermore, its detection is labor-intensive, requiring frequent reevaluation and clinical interpretation using bedside instruments and questionnaires [10]. These instruments and questionnaires become even harder to use when patients and health care providers speak different languages [11].
JMIR AI 2025;4:e60885
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Recent developments in the fields of ML and AI, such as deep learning, for computer vision and object detection–related tasks [11-13] have led to a rapid uptake of the use of these tools in computational pathology research, where their utility has been widely recognized [14-17]. ML has traditionally required massive computational power and advanced knowledge of computer science and programming languages such as Python and R [18-20].
JMIR Form Res 2025;9:e67457
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To improve the early detection of DFUs, it is important to develop and implement universal screening guidelines, increase awareness among patients and providers, and develop and implement better screening tools and methods.
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.
JMIR Diabetes 2025;10:e65209
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An automatic carrying detection classifier [32] produces a binary mask of shape (Nframes, 1), which is applied as a filter to the posture and movement classifier outputs before computing the distributions. The distribution for each track is computed by taking the mean of the automatic carrying detection-filtered one-hot matrices along the frame axis to yield a vector of shape (1, Ncats).
JMIR Mhealth Uhealth 2025;13:e58078
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Due to limited treatments, research has focused on early detection, with biomarkers and clinical scores like the Lung Injury Prediction Score and Early Acute Lung Injury Score [36]. However, the Lung Injury Prediction Score has a low positive predictive value, and Early Acute Lung Injury Score increases clinical workload without sufficient clinical evidence [37-39].
J Med Internet Res 2025;27:e66615
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Early detection of relapse correlates with survival. In most cases, relapse is detected by the appearance of symptoms, clinical signs, or biological abnormalities [2-4]. Repeated surveillance computed tomography (CT) detects asymptomatic recurrence in only 1.7% of patients and increases the risk of secondary cancers because of radiation overexposure [5-8]. Circulating tumor DNA monitoring may be used to detect early recurrence before the onset of symptoms; however, this method has not been validated [9].
JMIR Cancer 2025;11:e65960
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Early detection of changes in vital signs typically correlates with faster identification of changes in the patient’s health status and the escalation of care if necessary [8]. Alterations in vital signs preceding clinical deterioration are well documented, and the early identification of preventable outcomes is crucial for timely intervention [8]. Logically, the more frequently vital signs are measured, the quicker clinical deterioration can be detected.
JMIR Res Protoc 2025;14:e65229
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In addition, studies often investigate the detection of texts written by chatbots using automatic tools or even detectors specifically designed for this purpose [18,25,27-30]. The detection rate of these detectors is often higher than that of human reviewers, but the accuracy can vary greatly depending on the text genre and the classifier used [14,31]. Moreover, linguistic features appear to be the most important subset of features influencing the performance of feature-based classifiers [2,5].
JMIR Med Educ 2025;11:e62779
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