AIMC Topic: Biomedical Research

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Big Data Approaches in Heart Failure Research.

Current heart failure reports Oct 1, 2020
PURPOSE OF REVIEW: The goal of this review is to summarize the state of big data analyses in the study of heart failure (HF). We discuss the use of big data in the HF space, focusing on "omics" and clinical data. We address some limitations of this d...
Humans Biomedical Research Big Data Heart Failure Machine Learning Prognosis
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Enhancing scientific discoveries in molecular biology with deep generative models.

Molecular systems biology Sep 1, 2020
Generative models provide a well-established statistical framework for evaluating uncertainty and deriving conclusions from large data sets especially in the presence of noise, sparsity, and bias. Initially developed for computer vision and natural l...
Models, Statistical Molecular Biology Deep Learning Decision Making Neural Networks, Computer Biomedical Research
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Accelerating ophthalmic artificial intelligence research: the role of an open access data repository.

Current opinion in ophthalmology Sep 1, 2020
PURPOSE OF REVIEW: Artificial intelligence has already provided multiple clinically relevant applications in ophthalmology. Yet, the explosion of nonstandardized reporting of high-performing algorithms are rendered useless without robust and streamli...
Access to Information Biomedical Research Ophthalmology Artificial Intelligence Algorithms Humans
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A NICE perspective on computable biomedical knowledge.

BMJ health & care informatics Jul 1, 2020
INTRODUCTION: The National Institute for Health and Care Excellence (NICE) plays a central role in the NHS. We distill knowledge of best practice from the best available sources of evidence and share this across the health and care system, typically ...
Social Support Decision Support Systems, Clinical Delivery of Health Care Biomedical Research Evidence-Based Medicine Humans Knowledge Bases United Kingdom
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Does not compute: challenges and solutions in managing computable biomedical knowledge.

BMJ health & care informatics Jul 1, 2020
Computers can potentially play a key role in resolving knowledge mobilisation bottlenecks in health and care through decision support at the point of care based on computable biomedical knowledge (CBK). But the management of CBK comes with a range of...
Knowledge Bases Humans Medical Informatics Biomedical Research
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HDR UK supporting mobilising computable biomedical knowledge in the UK.

BMJ health & care informatics Jul 1, 2020
Computable biomedical knowledge (CBK) represents an evolving area of health informatics, with potential for rapid translational patient benefit. Health Data Research UK (HDR UK) is the national Institute for Health Data Science, whose aim is to unite...
Data Science Knowledge Bases Medical Informatics United Kingdom Humans Biomedical Research
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Machine learning and natural language processing in psychotherapy research: Alliance as example use case.

Journal of counseling psychology Jul 1, 2020
Artificial intelligence generally and machine learning specifically have become deeply woven into the lives and technologies of modern life. Machine learning is dramatically changing scientific research and industry and may also hold promise for addr...
Psychotherapeutic Processes Therapeutic Alliance Counseling Humans Professional-Patient Relations Natural Language Processing Adult Psychotherapy Female Biomedical Research Adolescent Young Adult Machine Learning Universities Male Mental Disorders
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Empirical assessment of bias in machine learning diagnostic test accuracy studies.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2020
OBJECTIVE: Machine learning (ML) diagnostic tools have significant potential to improve health care. However, methodological pitfalls may affect diagnostic test accuracy studies used to appraise such tools. We aimed to evaluate the prevalence and rep...
Systematic Reviews as Topic Publications Biomedical Research Bias Diagnostic Techniques and Procedures Machine Learning Sensitivity and Specificity Humans
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Machine-learning approaches to substance-abuse research: emerging trends and their implications.

Current opinion in psychiatry Jul 1, 2020
PURPOSE OF REVIEW: To provide an accessible overview of some of the most recent trends in the application of machine learning to the field of substance use disorders and their implications for future research and practice.
Machine Learning Biomedical Research Substance-Related Disorders Humans
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[Integration of production-university-research based on artificial intelligence for technological innovation and transformation in gastrointestinal surgery].

Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery Jun 25, 2020
Medical artificial intelligence is a deeply integrated field of production-university-research. The collaborative innovation system of "industry, education and research" has broken down the barriers between various disciplines and has shown great imp...
Inventions Biomedical Technology Technology Transfer Biomedical Research Humans Digestive System Surgical Procedures Artificial Intelligence
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