Screening for Peripartum Cardiomyopathies Using Artificial Intelligence (SPEC-AI) in Nigeria
Status: Completed
Location: See all (6) locations...
Intervention Type: Other
Study Type: Interventional
Study Phase: Not Applicable
SUMMARY
This study will evaluate the effectiveness of an artificial intelligence-enabled ECG (AI-ECG) for cardiomyopathy detection in an obstetric population in Nigeria.
Eligibility
Participation Requirements
Sex: Female
Minimum Age: 18
Maximum Age: 49
Healthy Volunteers: t
View:
• Currently pregnant or within 12 months postpartum
• Willing and able to provide informed consent
Locations
Other Locations
Nigeria
Rasheed Shekoni Specialist Hospital
Dutse
University College Hospital
Ibadan
University of Ilorin Teaching Hospital
Ilorin
Aminu Kano Teaching Hospital
Kano
Lagos University Teaching Hospital
Lagos
Olabisi Onabanjo University Teaching Hospital
Sagamu
Time Frame
Start Date: 2022-08-15
Completion Date: 2024-05-15
Participants
Target number of participants: 1232
Treatments
Experimental: Intervention
Participants will have ECGs analyzed with artificial intelligence for cardiomyopathy detection.
No_intervention: Control
Participants will have standard clinical ECGs acquired.
Authors
Kehinde Ibiyemi, Francisca Inofomoh, Olusoji Jagun, Sadiq Ringim, Bosede Afolabi, Okechukwu Ogah, Gbolahan Obajimi, Amam Mbakwem, Sule Gaya, Kamilu Karaye
Related Therapeutic Areas
Sponsors
Leads: Mayo Clinic
Collaborators: National Center for Advancing Translational Sciences (NCATS), National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)