AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

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Ghost in the machine or monkey with a typewriter-generating titles for Christmas research articles in using artificial intelligence: observational study.

BMJ (Clinical research ed.)
OBJECTIVE: To determine whether artificial intelligence (AI) can generate plausible and engaging titles for potential Christmas research articles in .

Examining the concept of equity in community psychology with natural language processing.

Journal of community psychology
Large amounts of text-based data, like study abstracts, often go unanalyzed because the task is laborious. Natural language processing (NLP) uses computer-based algorithms not traditionally implemented in community psychology to effectively and effic...

Artificial Intelligence in Action: Addressing the COVID-19 Pandemic with Natural Language Processing.

Annual review of biomedical data science
The COVID-19 (coronavirus disease 2019) pandemic has had a significant impact on society, both because of the serious health effects of COVID-19 and because of public health measures implemented to slow its spread. Many of these difficulties are fund...

Recommendations for Reporting Machine Learning Analyses in Clinical Research.

Circulation. Cardiovascular quality and outcomes
Use of machine learning (ML) in clinical research is growing steadily given the increasing availability of complex clinical data sets. ML presents important advantages in terms of predictive performance and identifying undiscovered subpopulations of ...

Inconsistency in the use of the term "validation" in studies reporting the performance of deep learning algorithms in providing diagnosis from medical imaging.

PloS one
BACKGROUND: The development of deep learning (DL) algorithms is a three-step process-training, tuning, and testing. Studies are inconsistent in the use of the term "validation", with some using it to refer to tuning and others testing, which hinders ...