e.g. mhealth
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transformer-empowered healthcare conversations: current trends, challenges, and future directions in large language model-enabledmodel
JMIR Dermatol 2025;8:e67551
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Clearly, significant challenges exist even before introducing the added complexities of multicenter studies, which involve substantial clustering (eg, across multiple centers, regions, or countries) and require more rigorous design, analysis, and reporting methods compared to standard prediction model studies [50].
J Med Internet Res 2025;27:e60148
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The model showed significant bias in SCC classification, frequently misclassifying SCC as BCC with a high rate of false-positive results. This aligns with previous research that observed SCC is often mistaken for BCC, particularly when features like pigmentation or rolled borders overlap [8]. Chat GPT’s performance worsened in Prompt 2, where SCC was frequently misclassified as AK.
JMIR Dermatol 2025;8:e67299
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Chat GPT, the large language model (LLM) chatbot, developed by Open AI [4], that started the AI boom in November 2022, became the most popular AI tool of 2023, accounting for over 60.2% of visits between September 2022 and August 2023, with a total of 14.6 billion website visits [5].
JMIR Med Educ 2025;11:e65108
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A 2-stage base model (random forest at both stages) was developed for the initial therapy using patient data, laboratory data, and clinical data. Subsequently, the model was optimized using a variety of parameters, including the number of decision trees and tree depth (the model specifications and results will be published separately once the AI-based CDSS model has been finalized).
JMIR Hum Factors 2025;12:e66699
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Additionally, while the CASo F checklist is a valuable tool, it would benefit from a more detailed comparison to established frameworks like TRIPOD (Transparent Reporting of a Multivariable Prediction Model for individual Prognosis or Diagnosis), which has been widely used in developing and validating clinical prediction models. Discussing how the CASo F complements or improves upon TRIPOD would strengthen the paper’s contributions.
JMIRx Med 2025;6:e69595
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