Improving Perinatal Mental Health in the Era of A.I.

Perinatal depression impacts up to one in seven women in the United States. Despite the American College of Obstetricians and Gynecologists (ACOG) recommending at least one mental health screening during the perinatal period, routine screenings are not yet common practice in obstetric clinics. Consequently, many women at risk go undiagnosed and untreated. This talk will explore how real-world data from electronic health records and machine learning models can be utilized to identify individuals at risk of perinatal depression and individualize mental health interventions accordingly.

About Dr. Pathak

Professor Jyotishman Pathak is a nationally recognized leader in biomedical informatics and population health sciences. In July 2025, he joined Arizona State University as the inaugural Dean of the School of Technology for Public Health, advancing the integration of technology into public health practice.

Previously, he was the Frances and John L. Loeb Professor of Medical Informatics and Vice Chair of Population Health Sciences at Weill Cornell Medical College. In 2023, he was appointed to the National Advisory Mental Health Council by the U.S. Secretary of Health and Human Services and is a Fellow of the American College of Medical Informatics. 

Dr. Pathak has authored over 275 publications with nearly 14,000 citations, with research focused on AI and natural language processing in digital health, particularly mental health. He earned his PhD in Computer Science from Iowa State University in 2007, where he will be
honored with the John Vincent Atanasoff Discovery Award.