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Skip search results from other journals and go to results- 99 Journal of Medical Internet Research
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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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The study results were reported in accordance with the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis plus Artificial Intelligence (TRIPOD+AI) statement [45].
Baseline characteristics of participants in this study are shown in Table 1. The participants in the internal validation dataset had a mean age of 71.0 years. Most of the participants were male and had finished primary school.
JMIR Aging 2025;8:e62942
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Reference 2: The comparative sufficiency of ChatGPT, Google Bard, and Bing AI in answering diagnosis,diagnosis
JMIR Dermatol 2025;8:e72540
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Reference 1: The comparative sufficiency of ChatGPT, Google Bard, and Bing AI in answering diagnosis,diagnosis
JMIR Dermatol 2025;8:e71768
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AI-Derived Blood Biomarkers for Ovarian Cancer Diagnosis: Systematic Review and Meta-Analysis
The conventional diagnosis of OC principally depends on imaging techniques (encompassing ultrasound, computed tomography, and magnetic resonance imaging); serum biomarkers (such as cancer antigen 125, carcinoembryonic antigen, and human epididymis protein 4); along with the invasive procedure (histological biopsy) [3,4]. However, the sensitivity and specificity of imaging techniques and biomarkers are restricted [5]. Furthermore, the histopathological test is inherently invasive [3].
J Med Internet Res 2025;27:e67922
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These projects include the following:
Chameleon: a project focused on developing AI algorithms for cancer diagnosis and prognosis.
Eu Can Image: a project aimed at creating a large-scale cancer image database.
Pro CAncer-I: a project focused on developing AI-based tools for personalized cancer treatment.
Incisive: a project contributing a significant amount of cancer image data to EUCAIM.
Primage: a project focused on developing AI-based image analysis techniques for cancer diagnosis.
J Med Internet Res 2025;27:e66273
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