AIMC Topic: Research Report
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Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol.
BMJ open
Jun 28, 2021
INTRODUCTION: Standards for Reporting of Diagnostic Accuracy Study (STARD) was developed to improve the completeness and transparency of reporting in studies investigating diagnostic test accuracy. However, its current form, STARD 2015 does not addre...
Improving Prehospital Stroke Diagnosis Using Natural Language Processing of Paramedic Reports.
Stroke
Jun 24, 2021
BACKGROUND AND PURPOSE: Accurate prehospital diagnosis of stroke by emergency medical services (EMS) can increase treatments rates, mitigate disability, and reduce stroke deaths. We aimed to develop a model that utilizes natural language processing o...
Reporting guidelines for artificial intelligence in healthcare research.
Clinical & experimental ophthalmology
May 25, 2021
Reporting guidelines are structured tools developed using explicit methodology that specify the minimum information required by researchers when reporting a study. The use of artificial intelligence (AI) reporting guidelines that address potential so...
Artificial intelligence in oncology: Path to implementation.
Cancer medicine
May 7, 2021
In recent years, the field of artificial intelligence (AI) in oncology has grown exponentially. AI solutions have been developed to tackle a variety of cancer-related challenges. Medical institutions, hospital systems, and technology companies are de...
Extracting clinical terms from radiology reports with deep learning.
Journal of biomedical informatics
Mar 9, 2021
Extracting clinical terms from free-text format radiology reports is a first important step toward their secondary use. However, there is no general consensus on the kind of terms to be extracted. In this paper, we propose an information model compri...
AI Accelerated Human-in-the-loop Structuring of Radiology Reports.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 25, 2021
Rule-based Natural Language Processing (NLP) pipelines depend on robust domain knowledge. Given the long tail of important terminology in radiology reports, it is not uncommon for standard approaches to miss items critical for understanding the image...
Automated abstraction of myocardial perfusion imaging reports using natural language processing.
Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
Jan 20, 2021
Reporting guidelines for clinical trials of artificial intelligence interventions: the SPIRIT-AI and CONSORT-AI guidelines.
Trials
Jan 6, 2021
BACKGROUND: The application of artificial intelligence (AI) in healthcare is an area of immense interest. The high profile of 'AI in health' means that there are unusually strong drivers to accelerate the introduction and implementation of innovative...
Development and Validation of a Natural Language Processing Tool to Generate the CONSORT Reporting Checklist for Randomized Clinical Trials.
JAMA network open
Oct 1, 2020
IMPORTANCE: Adherence to the Consolidated Standards of Reporting Trials (CONSORT) for randomized clinical trials is associated with improvingquality because inadequate reporting in randomized clinical trials may complicate the interpretation and the ...
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension.
The Lancet. Digital health
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...
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