AIMC Topic: Evidence-Based Medicine

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A clinical trials corpus annotated with UMLS entities to enhance the access to evidence-based medicine.

BMC medical informatics and decision making Feb 22, 2021
BACKGROUND: The large volume of medical literature makes it difficult for healthcare professionals to keep abreast of the latest studies that support Evidence-Based Medicine. Natural language processing enhances the access to relevant information, an...
Semantics Unified Medical Language System Evidence-Based Medicine Humans Language Natural Language Processing
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Using Artificial Intelligence to Predict Change in Depression and Anxiety Symptoms in a Digital Intervention: Evidence from a Transdiagnostic Randomized Controlled Trial.

Psychiatry research Nov 29, 2020
While digital psychiatric interventions reduce treatment barriers, not all persons benefit from this type of treatment. Research is needed to preemptively identify who is likely to benefit from these digital treatments in order to redirect those peop...
Predictive Value of Tests Evidence-Based Medicine Therapy, Computer-Assisted Depressive Disorder, Major Anxiety Disorders Follow-Up Studies Artificial Intelligence Female Young Adult Adult Male Middle Aged Humans
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Guiding principles for the use of knowledge bases and real-world data in clinical decision support systems: report by an international expert workshop at Karolinska Institutet.

Expert review of clinical pharmacology Sep 29, 2020
INTRODUCTION: Technical and logical breakthroughs have provided new opportunities in medicine to use knowledge bases and large-scale clinical data (real-world) at point-of-care as part of a learning healthcare system to diminish the knowledge-practic...
Delivery of Health Care Decision Support Systems, Clinical Knowledge Bases Humans Internationality Patient Reported Outcome Measures Evidence-Based Medicine Practice Guidelines as Topic
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The DREAM Dataset: Supporting a data-driven study of autism spectrum disorder and robot enhanced therapy.

PloS one Aug 21, 2020
We present a dataset of behavioral data recorded from 61 children diagnosed with Autism Spectrum Disorder (ASD). The data was collected during a large-scale evaluation of Robot Enhanced Therapy (RET). The dataset covers over 3000 therapy sessions and...
Child Evidence-Based Medicine Humans Autism Spectrum Disorder Robotics Behavior Databases, Factual Female Medical Informatics Male
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Evidence-based medicine and machine learning: a partnership with a common purpose.

BMJ evidence-based medicine Aug 19, 2020
From its origins in epidemiology, evidence-based medicine has promulgated a rigorous approach to assessing the validity, impact and applicability of hypothesis-driven empirical research used to evaluate the utility of diagnostic tests, prognostic too...
Artificial Intelligence Machine Learning Algorithms Humans Clinical Decision-Making Evidence-Based Medicine
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EBM+: Advancing Evidence-Based Medicine via two level automatic identification of Populations, Interventions, Outcomes in medical literature.

Artificial intelligence in medicine Aug 13, 2020
Evidence-Based Medicine (EBM) has been an important practice for medical practitioners. However, as the number of medical publications increases dramatically, it is becoming extremely difficult for medical experts to review all the contents available...
Language Evidence-Based Medicine Humans Neural Networks, Computer
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Radiomics and Deep Learning from Research to Clinical Workflow: Neuro-Oncologic Imaging.

Korean journal of radiology Jul 27, 2020
Imaging plays a key role in the management of brain tumors, including the diagnosis, prognosis, and treatment response assessment. Radiomics and deep learning approaches, along with various advanced physiologic imaging parameters, hold great potentia...
Diagnosis, Differential Guidelines as Topic Evidence-Based Medicine Optical Imaging Brain Neoplasms Deep Learning Imaging, Three-Dimensional Humans Prognosis
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Machine learning for screening prioritization in systematic reviews: comparative performance of Abstrackr and EPPI-Reviewer.

Systematic reviews Apr 2, 2020
BACKGROUND: Improving the speed of systematic review (SR) development is key to supporting evidence-based medicine. Machine learning tools which semi-automate citation screening might improve efficiency. Few studies have assessed use of screening pri...
Humans Machine Learning Research Mass Screening Systematic Reviews as Topic Evidence-Based Medicine
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Real world study for the concordance between IBM Watson for Oncology and clinical practice in advanced non-small cell lung cancer patients at a lung cancer center in China.

Thoracic cancer Mar 19, 2020
BACKGROUND: IBM Watson for Oncology (WFO) provides physicians with evidence-based treatment options. This study was designed to explore the concordance of the suggested therapeutic regimen for advanced non-small cell lung (NSCLC) cancer patients betw...
Male Middle Aged China Decision Support Systems, Clinical Lung Neoplasms United States Female Carcinoma, Squamous Cell Survival Rate Retrospective Studies Clinical Decision-Making Humans Practice Guidelines as Topic Carcinoma, Non-Small-Cell Lung Artificial Intelligence Follow-Up Studies Evidence-Based Medicine Prognosis Patient Selection Adenocarcinoma of Lung
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Beyond the Randomized Clinical Trial: Innovative Data Science to Close the Pediatric Evidence Gap.

Clinical pharmacology and therapeutics Jan 22, 2020
Despite the application of advanced statistical and pharmacometric approaches to pediatric trial data, a large pediatric evidence gap still remains. Here, we discuss how to collect more data from children by using real-world data from electronic heal...
Data Science Child Randomized Controlled Trials as Topic Humans Artificial Intelligence Machine Learning Pediatrics Inventions Evidence-Based Medicine
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