Adedinsewo, Demilade

Bias recognition and mitigation strategies in artificial intelligence healthcare applications

Hasanzadeh, F., Josephson, C. B., Waters, G., Adedinsewo, D., Azizi, Z., & White, J. A. (2025) · npj Digital Medicine

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 320

Artificial Intelligence-Enabled ECG Algorithm to Identify Patients With Left Ventricular Systolic Dysfunction Presenting to the Emergency Department with Dyspnea

Adedinsewo, D., Carter, R. E., Attia, Z., Johnson, P., Kashou, A. H., Dugan, J. L., Albus, M., Sheele, J. M., Bellolio, F., Friedman, P. A., et al. (2020) · Circulation: Arrhythmia and Electrophysiology

ECG Monitoring and AnalysisArtificial Intelligence in Healthcare

Cited by 169

Maternal Anxiety and Breastfeeding: Findings from the MAVAN (Maternal Adversity, Vulnerability and Neurodevelopment) Study

Adedinsewo, D. A., Fleming, A. S., Steiner, M., Meaney, M. J., Girard, A. W., & on behalf of the MAVAN team (2014) · Journal of Human Lactation

Breastfeeding Practices and InfluencesMaternal Mental Health During Pregnancy and Postpartum

Cited by 90

Artificial intelligence guided screening for cardiomyopathies in an obstetric population: a pragmatic randomized clinical trial

Adedinsewo, D. A., Morales-Lara, A. C., Afolabi, B. B., Kushimo, O. A., Mbakwem, A. C., Ibiyemi, K. F., Ogunmodede, J. A., Raji, H. O., Ringim, S. H., Habib, A. A., et al. (2024) · Nature Medicine

Cardiovascular Issues in PregnancyArtificial Intelligence in Healthcare and Education

Cited by 63

Real-World Performance, Long-Term Efficacy, and Absence of Bias in the Artificial Intelligence Enhanced Electrocardiogram to Detect Left Ventricular Systolic Dysfunction

Harmon, D. M., Carter, R. E., Cohen-Shelly, M., Svatikova, A., Adedinsewo, D. A., Noseworthy, P. A., Kapa, S., Lopez-Jimenez, F., Friedman, P. A., & Attia, Z. I. (2022) · European Heart Journal - Digital Health

ECG Monitoring and AnalysisArtificial Intelligence in Healthcare and Education

Cited by 35

Mitigating bias in clinical machine learning models

Perez-Downes, J. C., Tseng, A. S., McConn, K. A., Elattar, S. M., Sokumbi, O., Sebro, R. A., Allyse, M. A., Dangott, B. J., Carter, R. E., & Adedinsewo, D. (2024) · Current Treatment Options in Cardiovascular Medicine

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 23