e.g. mhealth
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Skip search results from other journals and go to results- 23 Journal of Medical Internet Research
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Artificial intelligence (AI) presents a solution by automating and streamlining these processes, potentially augmenting both efficiency and accuracy. However, the adoption of AI in breast cancer screening is not without challenges. Although there are over 20 Food and Drug Administration (FDA)–approved AI applications for breast imaging, their adoption and utilization in clinical settings remain highly variable and generally low [6].
J Med Internet Res 2025;27:e62941
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Our a priori hypothesis was that while many health care professionals would recognize Chat GPT’s potential benefits, such as improving efficiency, communication, and access to knowledge, they would also express concerns regarding ethical, legal, and accuracy-related issues.
This study offers timely insights for health care leaders, educators, and policymakers considering the responsible adoption of generative AI tools.
JMIR Med Educ 2025;11:e58801
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Simulation is a valuable and effective method for learners—whether used by trainees or experienced clinicians—to enhance their competency, efficiency, and confidence in performing regional anesthetic and neuraxial techniques [1-4]. Ultrasound enhances safety, decreases complications, and improves the efficacy and accuracy of neuraxial blockade in pediatric patients from preterm to adolescence [5-12].
JMIR Med Educ 2025;11:e63682
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efficiencyComparison of Efficiency of Closed Kinetic Chain Exercises Versus Proprioceptive Exercises in Improving
JMIR Res Protoc 2025;14:e66770
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This is reflected by a specialist clinic staff who said, “Efficiency increased and productivity (of referrals) increased, because (we) don’t need to toggle between multiple applications to handle one referral.”
J Med Internet Res 2025;27:e49363
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To focus on the most promising approaches while maintaining computational efficiency, we selected 10 datasets corresponding to the top 10 performing models from Experiment 1. This focused approach was selected to specifically examine whether the advantages observed with manual classification could be maintained when transitioning to an automated system; a key consideration for practical implementation.
JMIR Med Inform 2025;13:e65371
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The results, presented in Table 5, clearly demonstrate that the SBERT-Doc SCAN method, when fine-tuned with SBERT, outperforms others in terms of efficiency. Furthermore, within the supervised learning category, the SBERT-MEC model equipped with the DC module surpassed those lacking this module, underlining the value of the DC module in enhancing model performance.
JMIR Form Res 2025;9:e54803
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GPT-3.5 Turbo and GPT-4 Turbo in Title and Abstract Screening for Systematic Reviews
Although more advanced LLMs are expected to outperform previous models in sensitivity, specificity, and efficiency [9], the full impact of model development in citation screening remains to be fully understood.
This study aimed to compare accuracy and efficiency between GPT-3.5 Turbo and GPT-4 Turbo (Open AI)—widely used LLMs in the medical field—in title and abstract screening.
JMIR Med Inform 2025;13:e64682
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