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We also examined whether a single-item screener could be derived from a widely used DHL questionnaire to maximize screening opportunities in the oncology clinic and inform future studies.
JMIR Cancer 2025;11:e67911
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Individuals who chose to take the self-examination accessed a digital screening tool. They were presented with a short description of the tool, provided informed consent, answered questions aimed to verify their understanding of the screening tool’s purpose, and then completed questionnaires measuring different mental health difficulties. After the screening was completed, participants received automated, detailed personalized feedback and were asked to review the screening process.
J Med Internet Res 2025;27:e77802
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Various researchers have attempted to develop assessment methods that allow for the screening of community-dwelling older individuals in their own homes. Recently, readily available digital biomarkers, such as smartwatch-based step counters and smart ring–based continuous heart rate monitors, have attracted growing interest in cognitive assessment, which takes advantage of widely available mobile and wearable technologies [6].
JMIR Form Res 2025;9:e71265
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Screening asymptomatic individuals for undiagnosed diabetes enables earlier diagnosis and treatment, ultimately reducing the risk of complications and premature death [8-10]. The latest American Diabetes Association (ADA) and US Preventive Services Task Force guidelines recommend beginning diabetes screenings at the age of 35 years [11,12]. However, diabetes screening guidelines that rely on blood testing are not widely followed.
JMIR AI 2025;4:e68260
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Given the objective of this study to understand the cost-effectiveness of AI-assisted colonoscopy in CRC screening, we hypothesized that the entire population received four distinct screening strategies, including (1) FIT followed by conventional colonoscopy if the FIT result is positive (FIT+colonoscopy), (2) FIT followed by AI-assisted colonoscopy if the FIT result is positive (FIT+AI-assisted colonoscopy), (3) colonoscopy as the primary screening test, and (4) AI-assisted colonoscopy as the primary screening
J Med Internet Res 2025;27:e67762
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Diagnostic and Screening AI Tools in Brazil’s Resource-Limited Settings: Systematic Review
Various models have been applied in Brazil, emphasizing diagnostic and screening areas. Screening is used to identify individuals at risk of a given condition, prioritizing sensitivity maximization. In contrast, diagnosis aims to confirm or rule out the presence of a condition in individuals already identified as at risk. In these cases, accuracy becomes crucial, requiring a more careful balance between sensitivity and specificity.
JMIR AI 2025;4:e69547
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There is an urgent need for diabetic retinopathy (DR) screening programs to identify vision-threatening DR to enable timely treatment [3,4]. However, this rising prevalence is straining health care systems already struggling to improve care and manage health care costs [4].
Despite its critical role, DR screening (DRS) remains limited in many low-resource settings. Conventional screening with trained human graders is often costly, time-consuming, and challenging to scale [5,6].
JMIR Med Inform 2025;13:e67529
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As many jurisdictions use screening programs to detect and remove polyps for cancer surveillance, accurate and efficient pathology diagnosis is a key part of colon cancer screening programs [23,24]. As there are relatively few diagnostic entities for colon polyps, this area is well-suited to AI screening algorithms to assist pathologists in making a rapid diagnosis.
JMIR Form Res 2025;9:e67457
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To begin with, SARC-F is a screening indicator for sarcopenia, not for probable sarcopenia (decreased grip strength). If you try to find a cutoff for probable sarcopenia, which is a prestage of sarcopenia, the cutoff value will inevitably be smaller than the cutoff value used to determine sarcopenia. With that in mind, how do you explain the significance of this paper?
JMIRx Med 2025;6:e77582
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Introduction: Add a discussion on current research gaps (eg, sarcopenia screening) and clearly explain how your study [2] addresses these gaps.
Response: Done.
2. Methods: Include additional clinical outcomes such as muscle function, sarcopenia-related symptoms, or quality of life, and compare how thresholds of ≥2 and ≥4 perform in relation to these outcomes.
JMIRx Med 2025;6:e77497
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