Automated Neural Nursing Assistant (ANNA): An Over-The-Phone System for Cognitive Monitoring

Jacob Solinsky, Raymond Finzel, Martin Michalowski, Serguei Pakhomov

Research output: Contribution to journalConference articlepeer-review

Abstract

ANNA is a telephony-based cognitive assessment tool designed to aid nurses in caring for patients who require close monitoring for the development of confusion or neurological impairment. Of particular concern is the treatment of Immune Effector Cell-Associated Neurotoxicity Syndrome (ICANS), a condition which occurs quite frequently as an adverse outcome of Chimeric Antigen Receptor-T (CAR-T) cancer immunotherapy. ANNA employs both traditional verbal tests for cognitive impairment and novel linguistic methods which identify abnormalities in the patient's speech during ordinary conversation. To collect ordinary speech it uses a lightweight instance of the Facebook's Large Language Model BlenderBot to engage the patient in a partially unscripted conversation. ANNA is designed with easy employment by healthcare providers in mind, being sufficiently lightweight to run on consumer-grade hardware and needing access only to a patient's phone number to interact with them.

Original languageEnglish (US)
Pages (from-to)684-685
Number of pages2
JournalProceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Volume2023-August
StatePublished - 2023
Event24th International Speech Communication Association, Interspeech 2023 - Dublin, Ireland
Duration: Aug 20 2023Aug 24 2023

Bibliographical note

Publisher Copyright:
© 2023 International Speech Communication Association. All rights reserved.

Keywords

  • cognitive linguistics
  • spoken dialogue and conversational AI systems
  • systems for new applications
  • technologies

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