Machine learning as an enabler of medical technology

Giardini, Mario Ettore and Mutsvangwa, Tinashe (2023) Machine learning as an enabler of medical technology. Medical Engineering and Physics. ISSN 1873-4030

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Abstract

Driven by advancements in digital computing, data storage, and the availability of large datasets from digitized healthcare workflows and telemedicine, machine learning is swiftly becoming integral to the most diverse aspects of medical technology. It's not merely about optimizing complex clinical tasks; it's also about fostering innovative applications such as large-scale image screening, data inference, and automatic diagnostics. Indeed, machine learning is a prerequisite for a radically new approach to these tasks, transcending the re-implementation of established technologies. This special issue spotlights papers where machine learning is an essential constituent of medical technology innovation.

ORCID iDs

Giardini, Mario Ettore ORCID logoORCID: https://orcid.org/0000-0003-4849-9683 and Mutsvangwa, Tinashe;
CORE (COnnecting REpositories)