Acceptability and Feasibility of a Low-Cost Device for Gestational Age Assessment in a Low-Resource Setting: Qualitative Study.

Angela Koech Etyang Peris Muoga Musitia Grace Mkanjala Mwashigadi Mai-Lei Woo Kinshella Marianne Vidler Marleen Temermam Rachel Craik Peter Von Dadelszen J Alison Noble Aris T Papageorghiounull null

Published in: JMIR human factors (2022)

This study shows a positive attitude toward TraCer and highlights the potential role of this innovation that uses AI-enabled automation to assess GA. Clarity of messaging about the tool and its role in pregnancy is essential to address misconceptions and prevent misuse. Further research on clinical validation and related usability and safety evaluations are recommended.

Keyphrases

gestational age
low cost
preterm birth
birth weight
pet ct
chronic pain
health information
electronic health record
physical activity
healthcare
machine learning
pregnancy outcomes
body mass index
pet imaging