e.g. mhealth
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Skip search results from other journals and go to results- 99 Journal of Medical Internet Research
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Although this malignancy should represent 300‐480 cases (ie, 30%‐40% of all pediatric cancer diagnosis), only 40 cases per year have been seen over the last several years [5].
Number of cases of pediatric cancer diagnosed at Moi Teaching and Referral Hospital as a percentage of the expected total number of cases based on cancer epidemiology for the referral region.
JMIR Form Res 2025;9:e59776
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The application of ML and DL in leptospirosis diagnosis represents a significant advancement over traditional methods. ML algorithms can analyze clinical and laboratory data, including patient symptoms, demographic information, and test results, to predict the likelihood of leptospirosis.
JMIR Med Inform 2025;13:e67859
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The Infectious Diseases Society of America (IDSA) guidelines include SCI-specific signs and symptoms such as increased spasticity and autonomic dysreflexia [18] in their decision algorithms for UTI diagnosis [19], but limited evidence on the sensitivity and specificity of these symptoms exists.
Patients and providers alike have difficulty determining which signs and symptoms arise from UTI.
JMIR Res Protoc 2025;14:e52610
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As shown in Table 2, considering all the potential items that could be fulfilled by the apps for each domain, of the 27 apps selected, diagnosis and therapy support (90/513, 37%) and app technical characteristics (187/810, 23%) were the most frequently fulfilled domains, followed by AMS (13/162, 8%), pathogens and etiological agents (8/216, 4%), notes and records (5/162, 3%), network (4/189, 2%), AMR (2/162, 1%), and dashboard function (1/108, 1%).
JMIR Mhealth Uhealth 2025;13:e51122
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Numerous experts and scholars have explored the application of specialized AI and software tools in clinical diagnosis, yet there is limited knowledge about the performance of LLMs in this context. Therefore, this study aims to comprehensively evaluate the performance and accuracy of LLMs in clinical diagnosis, providing references for their clinical application.
JMIR Med Inform 2025;13:e64963
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The diagnosis of pathological conditions within the oral cavity has traditionally relied on visual examination, histopathological analysis, and clinical expertise [3]. However, AI algorithms have the potential to analyze various data sources, including clinical images, patient records, and radiographs, to provide valuable insights and suggestions for clinicians to facilitate the diagnosis of oral lesions [4].
Chat GPT is a recently introduced AI tool developed by Open AI.
JMIR AI 2025;4:e70566
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Artificial intelligence (AI) is becoming increasingly prevalent in health care with a wide range of applications such as drug development [1], computer-aided diagnosis and detection [2,3], and clinical decision-making [4]. In particular, AI-based clinical decision support systems (CDSS) can improve medication safety and reduce medication errors.
JMIR Med Inform 2025;13:e64902
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Most participants described the diagnosis of cancer as a profoundly shocking experience because they were diagnosed when they were feeling well and without any noticeable symptoms (“I didn’t know I was sick. I had regular blood work done April of 2021 and everything was normal. And then June 1st I had a lump like a lymph node in my neck that was a little enlarged, but I wasn’t feeling sick.”).
JMIR Form Res 2025;9:e65188
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