AIMC Topic: Evidence-Based Medicine

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Predicting innovative firms using web mining and deep learning.

PloS one Apr 1, 2021
Evidence-based STI (science, technology, and innovation) policy making requires accurate indicators of innovation in order to promote economic growth. However, traditional indicators from patents and questionnaire-based surveys often lack coverage, g...
Technology Deep Learning Surveys and Questionnaires Humans Evidence-Based Medicine Science Internet Germany Inventions
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AI-based smartphone apps for risk assessment of skin cancer need more evaluation and better regulation.

British journal of cancer Mar 19, 2021
Smartphone applications ("apps") with artificial intelligence (AI) algorithms are increasingly used in healthcare. Widespread adoption of these apps must be supported by a robust evidence-base and app manufacturers' claims appropriately regulated. Cu...
Humans Artificial Intelligence Algorithms Skin Neoplasms Mobile Applications Adult United States Sensitivity and Specificity Early Detection of Cancer Risk Assessment Evidence-Based Medicine Europe Smartphone European Union United States Food and Drug Administration Diagnostic Test Approval Precancerous Conditions
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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...
Humans Semantics Language Unified Medical Language System Natural Language Processing Evidence-Based Medicine
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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...
Therapy, Computer-Assisted Middle Aged Depressive Disorder, Major Anxiety Disorders Follow-Up Studies Predictive Value of Tests Evidence-Based Medicine Young Adult Adult Male Artificial Intelligence Female 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...
Knowledge Bases Humans Internationality Delivery of Health Care Evidence-Based Medicine Patient Reported Outcome Measures Decision Support Systems, Clinical 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 Autism Spectrum Disorder Robotics Evidence-Based Medicine Humans Medical Informatics Female Behavior Male Databases, Factual
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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...
Humans Artificial Intelligence Machine Learning Algorithms 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...
Optical Imaging Guidelines as Topic Evidence-Based Medicine Deep Learning Humans Imaging, Three-Dimensional Prognosis Diagnosis, Differential Brain Neoplasms
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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 Mass Screening Systematic Reviews as Topic Machine Learning Evidence-Based Medicine Research
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