AIMC Topic: Evidence-Based Practice

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The impact and return-on-investment of evidence-based practice in conservation and environmental management: A machine learning-assisted scoping review protocol.

PloS one Jun 25, 2025
Evidence-based Practice (EBP) is a vital principle, with its origins in the 1970s, that has transformed the disciplines of medicine and healthcare. The use of best available evidence to inform decisions and best practice has since spread across other...
Conservation of Natural Resources Evidence-Based Practice Scoping Review as Topic Humans Machine Learning
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Fostering creativity-nurturing behaviors among nurse educators: Investigating the interplay between evidence-based practice climate and artificial intelligence competence self-efficacy.

Nurse education today Apr 4, 2025
BACKGROUND: Fostering creativity in nursing education is essential for equipping students with critical thinking and problem-solving skills. Nurse educators play a pivotal role in nurturing creativity among nursing students, yet their effectiveness i...
Creativity Cross-Sectional Studies Female Faculty, Nursing Male Students, Nursing Adult Humans Evidence-Based Practice Surveys and Questionnaires Artificial Intelligence Middle Aged Self Efficacy
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Potential of Artificial Intelligence in Evidence-Based Practice in Nursing.

Revista brasileira de enfermagem Sep 9, 2024
Evidence-Based Practice Evidence-Based Nursing Humans Artificial Intelligence
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Practice-Oriented Research: An Introduction to New Developments and Future Directions.

Administration and policy in mental health Apr 3, 2024
Aimed at understanding and improving psychological therapies as they are conducted in clinical routine, practice-oriented research (POR) is now a well-established approach to the scientific foundations of mental health care services. Resting on the a...
Artificial Intelligence Mental Health Services Humans Health Services Research Evidence-Based Practice Implementation Science Psychotherapy Program Evaluation
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Leveraging artificial intelligence to advance implementation science: potential opportunities and cautions.

Implementation science : IS Feb 21, 2024
BACKGROUND: The field of implementation science was developed to address the significant time delay between establishing an evidence-based practice and its widespread use. Although implementation science has contributed much toward bridging this gap,...
Implementation Science Artificial Intelligence Evidence-Based Practice Humans
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Knowledge in Motion: A Comprehensive Review of Evidence-Based Human Kinetics.

International journal of environmental research and public health May 31, 2023
This comprehensive review examines critical aspects of evidence-based human kinetics, focusing on bridging the gap between scientific evidence and practical implementation. To bridge this gap, the development of tailored education and training progra...
Physical Fitness Evidence-Based Practice Humans Kinetics Artificial Intelligence Motion
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How to apply evidence-based practice to the use of artificial intelligence in radiology (EBRAI) using the data algorithm training output (DATO) method.

The British journal of radiology Apr 22, 2023
OBJECTIVE: As the number of radiology artificial intelligence (AI) papers increases, there are new challenges for reviewing the AI literature as well as differences to be aware of, for those familiar with the clinical radiology literature. We aim to ...
Humans Evidence-Based Practice Radiology Artificial Intelligence Radiologists Algorithms
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Raising the Bar for Randomized Trials Involving Artificial Intelligence: The SPIRIT-Artificial Intelligence and CONSORT-Artificial Intelligence Guidelines.

The Journal of investigative dermatology Mar 22, 2021
Artificial intelligence (AI)-based applications have the potential to improve the quality and efficiency of patient care in dermatology. Unique challenges in the development and validation of these technologies may limit their generalizability and re...
Dermatology Datasets as Topic Evidence-Based Practice Practice Guidelines as Topic Research Design Humans Randomized Controlled Trials as Topic Artificial Intelligence
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Can Machine Learning help us in dealing with treatment resistant depression? A review.

Journal of affective disorders Aug 13, 2019
BACKGROUND: About one third of patients treated with antidepressant do not show sufficient symptoms relief and up to 15% of patients remain symptomatic even after multiple trials are applied, configuring a state called treatment resistant depression ...
Adult Male Algorithms Female Humans Evidence-Based Practice Disease Management Drug Resistance Machine Learning Depressive Disorder, Treatment-Resistant Antidepressive Agents
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A question of trust: can we build an evidence base to gain trust in systematic review automation technologies?

Systematic reviews Jun 18, 2019
BACKGROUND: Although many aspects of systematic reviews use computational tools, systematic reviewers have been reluctant to adopt machine learning tools.
Systematic Reviews as Topic Reproducibility of Results Evidence-Based Practice Humans Trust Machine Learning
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