AIMC Topic: Research Design
Clear Filters Showing 431 to 440 of 646 articles
Guiding better design and reporting of AI-intervention trials.
The Lancet. Digital health
Sep 9, 2020
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI Extension.
BMJ (Clinical research ed.)
Sep 9, 2020
The CONSORT 2010 (Consolidated Standards of Reporting Trials) statement provides minimum guidelines for reporting randomised trials. Its widespread use has been instrumental in ensuring transparency when evaluating new interventions. More recently, t...
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI Extension.
BMJ (Clinical research ed.)
Sep 9, 2020
The SPIRIT 2013 (The Standard Protocol Items: Recommendations for Interventional Trials) statement aims to improve the completeness of clinical trial protocol reporting, by providing evidence-based recommendations for the minimum set of items to be a...
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension.
Nature medicine
Sep 9, 2020
The SPIRIT 2013 statement aims to improve the completeness of clinical trial protocol reporting by providing evidence-based recommendations for the minimum set of items to be addressed. This guidance has been instrumental in promoting transparent eva...
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension.
Nature medicine
Sep 9, 2020
The CONSORT 2010 statement provides minimum guidelines for reporting randomized trials. Its widespread use has been instrumental in ensuring transparency in the evaluation of new interventions. More recently, there has been a growing recognition that...
Review on big data applications in safety research of intelligent transportation systems and connected/automated vehicles.
Accident; analysis and prevention
Sep 4, 2020
The era of Big Data has arrived. Recently, under the environment of intelligent transportation systems (ITS) and connected/automated vehicles (CAV), Big Data has been applied in various fields in transportation including traffic safety. In this study...
Dynamics and Development of the COVID-19 Epidemic in the United States: A Compartmental Model Enhanced With Deep Learning Techniques.
Journal of medical Internet research
Aug 21, 2020
BACKGROUND: Compartmental models dominate epidemic modeling. Transmission parameters between compartments are typically estimated through stochastic parameterization processes that depends on detailed statistics of transmission characteristics, which...
Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settings.
BMC medical informatics and decision making
Aug 20, 2020
BACKGROUND: Despite the vagueness and uncertainty that is intrinsic in any medical act, interpretation and decision (including acts of data reporting and representation of relevant medical conditions), still little research has focused on how to expl...
Evaluation of the COVID-19 Pandemic Intervention Strategies with Hesitant F-AHP.
Journal of healthcare engineering
Aug 20, 2020
In this study, a hesitant fuzzy AHP method is presented to help decision makers (DMs), especially policymakers, governors, and physicians, evaluate the importance of intervention strategy alternatives applied by various countries for the COVID-19 pan...
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