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The purpose of this report is to describe how the framework (hereafter referred to as the blueprint report) was used to assess facilitator fidelity in our 4-site public deliberation on the acceptability of youth self-consent in biomedical HIV prevention research. In this report, we (1) briefly describe the deliberation, (2) summarize the blueprint report, and (3) present our assessment of facilitator fidelity across the 4 sites.
JMIR Form Res 2025;9:e58451
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Performance Assessment of Large Language Models in Medical Consultation: Comparative Study
First, we used medical domain LLMs, which are basic language models (such as Llama or GPT) pretrained for general language tasks and then fine-tuned with a biomedical domain–specific model. Among the various models, Bio GPT [23] and PMC-LLa MA [24] were selected for their specialized focus on biomedical text generation and mining.
JMIR Med Inform 2025;13:e64318
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A P value of
Biomedical informatics pipeline for comparing different LLM and prompt optimization approaches to abstract screening for cardiovascular drug development. LLM: large language model.
This study did not meet the definition of human participants research and thus did not require institutional review board approval.
Of 69 articles found in Pub Med, 32 (46%) met eligibility criteria after manual review; corresponding LLM screening accuracies are summarized in Table 1.
JMIR Med Inform 2024;12:e64143
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HIV pre-exposure prophylaxis (Pr EP) is a safe and proven biomedical strategy to prevent HIV transmission among cisgender women [1-3]. However, Black cisgender women remain underrepresented throughout the Pr EP care continuum compared to their White counterparts [4,5].
JMIR Res Protoc 2024;13:e59975
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A Quarter-Century of Online Informatics Education: Learners Served and Lessons Learned
This was a decision to investigate the interest and subsequently move my introductory biomedical and health informatics course in our graduate program at Oregon Health & Science University (OHSU) to an online format. It was just a single course, but would lead to profound new directions not only for my career but also for the graduate program I led.
In 1999, the internet and online educational environment were much different from that in the present.
J Med Internet Res 2024;26:e59066
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Pre-exposure prophylaxis (Pr EP) is an effective biomedical intervention to prevent HIV infection among populations vulnerable to HIV [5]. Pr EP is available as an oral pill or long-acting injection and has been shown to be safe and effective in preventing HIV infection, particularly among sexual minority men and transgender women at elevated risk for HIV [6,7].
JMIR Form Res 2024;8:e52842
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The Evolution of Artificial Intelligence in Biomedicine: Bibliometric Analysis
Advances in technology and science have led to the use of various methods to obtain biomedical data, such as clinical analyses, biological parameters, and medical imaging. However, the diversity and complexity of these data, along with the need for more information on certain atypical diseases result in unbalanced and nonsmooth biomedical data.
JMIR AI 2023;2:e45770
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Assessing Facilitator Fidelity to Principles of Public Deliberation: Tutorial
The purpose of this tutorial, therefore, is to present the blueprint we developed to systematically assess facilitator remarks made during a public deliberation about the acceptability of allowing minor consent for biomedical HIV prevention research. We briefly describe the deliberation, present the coding templates, list the analytic procedures, describe the assessment results from 1 deliberation site, and provide examples of how the assessment results were used to optimize future deliberations.
JMIR Form Res 2023;7:e51202
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Guidelines and Standard Frameworks for AI in Medicine: Protocol for a Systematic Literature Review
Artificial intelligence (AI) has become a hot topic in biomedical and clinical routines in the past decade [1,2]. In fact, an increasing number of scientific publications suggest algorithms and AI models for target diseases and conditions [3]. The application of AI in health care ranges from medical image analysis to text mining, targeting prognosis, diagnosis, event and outcome prediction, and treatment [1].
JMIR Res Protoc 2023;12:e47105
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