Share:
Peer-Reviewed Publication
Cancers (Basel)2022;14(4)February 12, 2022Journal Article

Evaluating the Feasibility and Acceptability of an Artificial-Intelligence-Enabled and Speech-Based Distress Screening Mobile App for Adolescents and Young Adults Diagnosed with Cancer: A Study Protocol.

Anao Zhang1,2, Aarti Kamat2,3, Chiara Acquati4,5, Michael Aratow6, Johnny S Kim7, Adam S DuVall8, Emily Walling2,3
1School of Social Work, University of Michigan, Ann Arbor, MI 48109, USA.
2Adolescent and Young Adult Oncology Program, University of Michigan Health, Ann Arbor, MI 48109, USA.
3Department of Pediatrics, University of Michigan Health, Ann Arbor, MI 48109, USA.
4Graduate College of Social Work, University of Houston, Houston, TX 77204, USA.
5Department of Health Disparities Research, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
6Ellipsis Health, San Francisco, CA 94102, USA.
7Graduate School of Social Work, University of Denver, Denver, CO 80208, USA.
8Department of Medicine, University of Chicago, Chicago, IL 60637, USA.

Abstract

Adolescents and young adults (AYAs) diagnosed with cancer are an age-defined population, with studies reporting up to 45% of the population experiencing psychological distress. Although it is essential to screen and monitor for psychological distress throughout AYAs' cancer journeys, many cancer centers fail to effectively implement distress screening protocols largely due to busy clinical workflo…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.