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Role Preferences in Medical Decision Making: Relevance and Implications for Health Preference Research
Health preference research (HPR) is being increasingly conducted to better understand patient preferences for medical decisions. However, patients...
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Privacy-Preserving Retrieval Scheme Over Encrypted Medical Records with Relevance Ranking
Electronic medical records (EMRs) contain a large amount of highly private and sensitive information of patients and medical institutions. For...
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Research on the Medical Knowledge Deduction Based on the Semantic Relevance of Electronic Medical Record
This paper studies the extraction of information from unstructured text data of medical literature and electronic medical records in the field of...
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Contextualizing the Impact of Pop Culture on Breast Implant Illness and its Medical Relevance
IntroductionDespite a lack of data demonstrating causation, there is growing concern over breast implants and systemic illness. This study examines...
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Are my answers medically accurate? Exploiting medical knowledge graphs for medical question answering
Poor health is one of the fundamental causes behind the suffering and deprivation of human beings. One of the United Nations (UN) Sustainable...
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Disagreement and Religious Relevance
This chapter argues that recent work in philosophical epistemology of religious belief and disagreement can be meaningfully connected to related work...
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Competency-Based Medical Education (CBME): an Overview and Relevance to the Education of Future Surgical Oncologists
In the next two decades, the global cancer burden is expected to rise by 47%, and the demand for global cancer surgery will increase by 52%. At...
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Criteria for preclinical models of cholangiocarcinoma: scientific and medical relevance
Cholangiocarcinoma (CCA) is a rare malignancy that develops at any point along the biliary tree. CCA has a poor prognosis, its clinical management...
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The perceptions of medical physicists towards relevance and impact of artificial intelligence
Artificial intelligence (AI) is an innovative tool with the potential to impact medical physicists’ clinical practices, research, and the profession....
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Correlation Aware Relevance-Based Semantic Index for Clinical Big Data Repository
In this paper, we focus on indexing mechanisms for unstructured clinical big integrated data repository systems. Clinical data is unstructured and...
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Medical Student Attitudes and Perceptions on the Relevance of Neuroscience to Psychiatry: a Mixed Methods Study
ObjectiveMany psychiatry residency programs are actively incorporating neuroscience training into their curricula; however, relatively little...
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Evaluating the accuracy and relevance of ChatGPT responses to frequently asked questions regarding total knee replacement
BackgroundChat Generative Pretrained Transformer (ChatGPT), a generative artificial intelligence chatbot, may have broad applications in healthcare...
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Medical Education
Behavioral and social variables play an important role on health and illness. If future physicians are to care effectively for their patients using...
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Navigating stigma: Sexual identity disclosure in the medical encounter
Research has documented that open communication with medical professionals is important because it can provide patients with valuable health...
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Social accountability in a medical school: is it sufficient? A regional medical school curriculum and approaches to equip graduates for rural and remote medical services
BackgroundSocial accountability is increasingly integral to medical education, aligning health systems with community needs. Universitas Pattimura’s...
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Transfer Learning Techniques in Medical Image Classification
Medical image classification is a critical task in modern health care that aids in diagnosis, treatment planning, and patient care. However, it is...
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What makes an article a must read in medical education?
BackgroundThe dissemination of published scholarship is intended to bring new evidence and ideas to a wide audience. However, the increasing number...
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Constructing a Multi-scale Medical Knowledge Graph from Electronic Medical Records
Knowledge graphs play a crucial role in the medical field. Most existing knowledge graphs are manually created by experts or extracted from medical...
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Medical-informed machine learning: integrating prior knowledge into medical decision systems
BackgroundClinical medicine offers a promising arena for applying Machine Learning (ML) models. However, despite numerous studies employing ML in...
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Beyond Topicality: Including Multidimensional Relevance in Cross-encoder Re-ranking
In this paper, we propose a novel approach to consider multiple dimensions of relevance in cross-encoder re-ranking. On the one hand, cross-encoders...