AI powered mobile application to detect plagiocephaly and craniosynostosis in infants

Technology can be a valuable tool to help physicians improve the care they provide for their patients. We set out to determine if an AI powered mobile application could help primary care physicians detect clinically significant positional plagiocephaly and/or craniosynostosis during regular well-baby visits. The intern will directly help in planning, conduction, and statistically analyze the performance of an AI software in addition to gaming hands on experience conducting a clinical pilot study. The partner organization in return will benefit by further validating the accuracy, sensitivity, and specificity of their AI software while also generating data to further improve it.

Faculty Supervisor:

Mirko Gilardino

Student:

Ayden Watt

Partner:

Little Angel Medical

Discipline:

Other

Sector:

Health care and social assistance

University:

McGill University