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DermaDashboard: Bridging the Gap Between FHIR Standards and Clinical Usability
Demonstrated using patients with melanoma, the architecture is modular and generalizable to other diseases. This viewpoint provides a technical overview of the development pipeline, highlighting how FHIR-based data infrastructures can support the development of accessible, standards-driven dashboards in clinical environments.
FHIR represents health care data as modular resources, each capturing specific clinical information which are linked via unique identifiers [15].
JMIR Cancer 2025;11:e73691
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Deep Learning Multi-Modal Melanoma Detection: Algorithm Development and Validation
Incidence rates of melanoma have been on an increase since 1999, with 15.1 per 100,000 in 1999 and rising to 23.0 per 100,000 in 2021 [1]. In contrast, seborrheic keratosis is a benign skin appearance that commonly occurs in older adults. While the pathology, epidemiology, and histology of melanoma and seborrheic keratosis are well understood [2, 3, 4, 5], on a surface level, these 2 lesions can seem almost identical to the untrained eye, making it difficult for individuals to know when to seek care [6].
JMIR AI 2025;4:e66561
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Using AI for these purposes may improve the efficiency of melanoma detection and increase population access to dermatological assessment, particularly as improvements in the precision of imaging technology and convolutional neural networks allow for more machine autonomy in decision-making, thereby changing or creating new clinical paradigms in melanoma detection.
JMIR Dermatol 2025;8:e63923
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Minimal research exists on Chat GPT’s accuracy in detecting melanoma. Given that patients are increasingly presenting internet-derived diagnostics during cancer consultations, it is imperative to understand the capabilities of commonly used AI engines, such as Chat GPT [4]. In this study, we compare the capabilities of two models—Chat GPT-4 Omni (GPT-4o) and Chat GPT-4 Turbo (GPT-4 Turbo)—in identifying melanoma versus “not melanoma” skin lesions.
JMIR Dermatol 2025;8:e67551
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Anti-MDA5+DM-ILD: melanoma differentiation–associated gene 5 antibody–positive dermatomyositis–associated interstitial lung disease; CTD: connective tissue disease.
J Med Internet Res 2025;27:e62836
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Furthermore, these AEs have shown to affect physical and psychosocial well-being of patients with melanoma [10-13]. Most prevalent in patients with melanoma undergoing immunotherapy with ICIs are cancer-related fatigue (CRF) and emotional distress, affecting both health-related quality of life (HRQo L) and clinical outcome to immunotherapy [8,14-16].
JMIR Cancer 2025;11:e58938
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Members of the public with a history of skin cancer were included in the patient group, with additional patients approached via Melanoma Focus (a UK melanoma charity that provides information, guidance, and support for patients, carers, and HCPs) [16]. GPs and primary care NPs were identified through the Primary Care Dermatology Society [17], with additional GPs approached via Sermo (medical market-research organization) [18].
JMIR Cancer 2025;11:e60653
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A secondary objective of the study is to assess any agreements or differences in the results of our wide range of participants in the usability studies, considering the target population of our e Health intervention (patients with melanoma and renal cell carcinoma treated with immunotherapy) and participants that are part of a broader population (patients with cancer with other types of cancer and informal caregivers).
JMIR Form Res 2025;9:e57659
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In recent years, the prognosis of melanoma, one of the most aggressive forms of skin cancer, has significantly improved due to advancements in innovative treatments such as immunotherapy and targeted therapy [1]. With an estimated worldwide total of 325,000 new cases in 2022, increasing to an expected total of 510,000 new cases in 2040 [2], this results in an expanding cohort of melanoma survivors, ie, individuals living with or beyond melanoma [3].
JMIR Cancer 2025;11:e55746
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However, a gap exists in the determinants of research participation in dermatology trials and melanoma surveillance in particular.
JMIR Dermatol 2024;7:e58136
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