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ATLAS

ATLAS project: Using AI to detect language disorders

ATLAS will provide speech and language therapists with an automated screening tool to detect developmental language disorders. ATLAS is currently in development.

Project objective

ATLAS is a groundbreaking new app which aims to provide speech and language therapists with an automated screening tool to detect developmental language disorders, saving NHS speech therapists 90 minutes per patient. More information will be to come as ATLAS continues the research and development stage.

Project output

Current NHS resources allow for much less time than is needed to evaluate the language abilities of a child, meaning that therapists are making decisions on incomplete and inaccurate information. Using speech recognition, acoustics analysis and advanced machine learning, ATLAS will automate this process and allow further time for SLTs to evaluate their patients, and allows better planning for each child.

Meet the Team

University of Sheffield

Yvonne Wren BSc (Hons), MEd, PhD, Cert M RCSLT

North Bristol NHS

University of Sheffield

Korin Richmond, University of Edinburgh

University of Sheffield

Steve Renals, University of Edinburgh