e.g. mhealth
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Skip search results from other journals and go to results- 20 Journal of Medical Internet Research
- 11 JMIR Research Protocols
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comparative sufficiency of ChatGPT, Google Bard, and Bing AI in answering diagnosis, treatment, and prognosisprognosis
JMIR Dermatol 2025;8:e72540
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comparative sufficiency of ChatGPT, Google Bard, and Bing AI in answering diagnosis, treatment, and prognosisprognosis
JMIR Dermatol 2025;8:e71768
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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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Cardiac arrest (CA) remains a critical challenge in contemporary medicine, characterized by a dismally low survival rate and poor prognosis, and, therefore, has garnered global attention [1]. CA can be classified by the occurrence location into in-hospital CA (IHCA) and out-of-hospital CA (OHCA). Despite advancements in cardiopulmonary resuscitation techniques, global registry data indicate that the incidence and survival rates of CA have not significantly improved.
J Med Internet Res 2025;27:e67871
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Artificial Intelligence in Lymphoma Histopathology: Systematic Review
In this extensive study, we systematically reviewed the literature exploring the use of AI technologies, including traditional machine learning (ML) and deep learning (DL) methods, to assess digital pathology images for lymphoma diagnosis, prognosis, and other pertinent applications. Our review encompasses research that focuses on individual diagnostic factors, such as histological subtypes, as well as studies that perform computer-assisted tasks like tumor segmentation.
J Med Internet Res 2025;27:e62851
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We divided the included studies into 2 subgroups for independent evaluation based on different research objectives, namely, subgroup A: studies that aim at image classification or segmentation, assessed using an adapted version of QUADAS-2; and subgroup B: with the goal of predicting patient prognosis, assessed using PROBAST.
J Med Internet Res 2025;27:e60888
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Although studies have reported the predictive role of HRV for the prognosis of MI, no study has explored the correlations among sleep, circadian rhythm, and prognosis. Therefore, we conducted a case-control prospective follow-up study to investigate the sleep and circadian rhythm of patients with acute MI, using actigraphy, along with HRV assessment. We followed these patients for 6 months after discharge to evaluate their prognosis.
J Med Internet Res 2025;27:e63897
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For each condition, 2 diagnosis, 2 treatment, and 1 prognosis questions were devised. Diagnosis questions requested a diagnosis and presented the patient history including age, sex, symptoms (duration/location), treatments and outcomes, and medical history. Nineteen questions were modeled from questions on Reddit forums (“r/Ask Docs” and “r/dermatology”). For topics with insufficient Reddit questions, the coauthors devised prompts reflecting common questions in their experience (6 questions).
JMIR Dermatol 2025;8:e60827
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