e.g. mhealth
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Skip search results from other journals and go to results- 60 Journal of Medical Internet Research
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Significant scientific evidence shows that early screening and timely treatment referral can prevent most visual loss caused by DR [11]. Conventionally, DR screening (DRS) includes fundus (retina) examination by ophthalmologists or color fundus photography using conventional cameras (mydriatic or nonmydriatic) conducted by trained eye technicians or optometrists [12].
JMIR Form Res 2025;9:e67047
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The AI Reviewer: Evaluating AI’s Role in Citation Screening for Streamlined Systematic Reviews
However, the conventional systematic review methodology is time-consuming, particularly the manual screening of articles for pertinence [2]. The exponential increase in biomedical literature presents a challenge for researchers to remain updated. Artificial intelligence (AI) has shown promise in various fields [3], with large language models (LLMs) specifically offering capabilities to interpret complex text, which can be leveraged in the systematic review process [4].
JMIR Form Res 2025;9:e58366
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Deidentified data were extracted from electronic health records (EHRs) of the national cervical cancer screening program in China. In summary, our study included eligible women aged 25‐65 years who participated in the cervical cancer screening. Data from Fujian Province (2014‐2023) were used to establish a discovery cohort to train the models.
JMIR Public Health Surveill 2025;11:e67840
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GPT-3.5 Turbo and GPT-4 Turbo in Title and Abstract Screening for Systematic Reviews
Manual citation screening, however, is a time-consuming and labor-intensive process, often resulting in human errors and increased workloads [1,2]. Large language models (LLMs) have demonstrated the ability to comprehend and process natural language, underscoring their utility in medical applications [3]. Consequently, LLMs have emerged as promising tools for citation screening in systematic reviews [4].
JMIR Med Inform 2025;13:e64682
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First, by systematically examining and integrating diverse diagnostic criteria and screening tools, this study aimed to contribute to the ongoing debate about the complexities and challenges of effectively diagnosing depression in individuals of very old age. Second, achieving expert consensus is central to developing a new screening instrument specifically tailored to this unique population.
JMIR Aging 2025;8:e64352
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Limitations of current screening have spurred research into the development of alternative, more naturalistic methods to monitor for cognitive decline. Early identification and the prevention of cognitive decline are critical in reducing the burden of dementia on individuals, families, health care systems, and larger economies and societies.
The use of machine learning (ML) in assessing cognitive decline is an emerging field of study.
JMIR Serious Games 2025;13:e54797
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Early 2000s: AS introduced to Australia
2010: First case of silicosis associated with AS reported in Italy
2015: First case of silicosis associated with AS reported in Australia (conference abstract)
2017: First case of silicosis associated with AS reported in Australia
2019: Screening program of stone benchtop industry workers begins in Victoria, Australia (paper-based data collection)
2021: Screening program first incorporates electronic data capture tool (EDCT)
2021-2023: Refinement of EDCT informed by data
JMIR Hum Factors 2025;12:e64111
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Despite the clear benefits of early detection and screening for reducing mortality rates, many individuals remain unaware of the importance of regular screenings and the risk factors associated with CRC [3-5]. March is designated as Colorectal Cancer Awareness Month, a period dedicated to increasing public knowledge about CRC, promoting early detection and screening, and ultimately reducing the incidence and mortality of this disease [6].
JMIR Form Res 2025;9:e63344
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There is considerable variability in the implementation of SDH screening tools in primary care settings [21]. The absence of standardized screening tools and protocols, along with varying levels of knowledge and training among providers, hinders the ability to identify SDH-related needs and intervene appropriately [22].
JMIR Res Protoc 2025;14:e68668
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Screening of oral health, early detection and triage of oral health issues, and immediate referral to dental specialists ultimately require the integration of frontline health care professionals [8]. Several instruments for health care providers to evaluate oral health have been developed over time. A few of these tools are the Holistic Reliable Oral Assessment Tool (THROAT) [6], Revised Oral Assessment Guide [9], Oral Health Assessment Tool (OHAT) [10], and Oral Assessment Guide [11].
JMIR Res Protoc 2025;14:e63480
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