Work

Radiological images and machine learning: Trends, perspectives, and prospects

Year: 2019

Type: review

Source: Computers in Biology and Medicine

DOI: 10.1016/j.compbiomed.2019.02.017

Authors: Zhenwei Zhang, Ervin Sejdić

Institution: University of Pittsburgh

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: National Institute on Aging, Eunice Kennedy Shriver National Institute of Child Health and Human Development

Awards: The Aspirometer: A noninvasive tool to detect swallowing safety and efficiency, Long-Term Care Research Network, Instrumental screening for dysphagia by combining high-resolution cervical auscultation with advanced data analysis tools to identify silent dysphagia and silent aspiration

OpenAlex ID: W2919159054

FWCI: 1.051

Cites: 263

Cited by: 217

Related to: 10