5th International Conference on Gynecology and Obstetrics

AI and Digital Health in Gynecology and Obstetrics session examines how artificial intelligence, digital health and data-driven technologies are being evaluated and applied across gynecology and obstetrics. It covers AI-assisted diagnosis, clinical decision support, imaging, surgical planning, gynecologic oncology, maternal health and remote monitoring, alongside healthcare data analytics and digital clinical research. Particular attention is given to clinical validation, implementation, data quality, ethics, governance and regulation, ensuring that technological innovation remains aligned with clinical needs and patient care.

Key Topics

• AI, Machine Learning & Predictive Analytics
• AI-Assisted Diagnosis & Clinical Decision Support
• AI-Assisted Imaging & Ultrasound
• AI in Gynecologic Oncology
• AI-Assisted Surgical Planning & Computer-Assisted Surgery
• Digital Health, Telemedicine & Remote Monitoring
• Healthcare Data Analytics & Digital Clinical Research
• AI Ethics, Governance & Regulation
• Digital Maternal Health & Remote Pregnancy Monitoring
• Data-Driven Precision Health & Personalized Care

Why is this Session Important?

AI and digital technologies are rapidly moving from experimental applications toward clinical evaluation and implementation in women's health. Their potential to support diagnosis, prediction, imaging, surgical planning, remote monitoring and personalized care must be balanced with rigorous validation, data quality, privacy, bias, interoperability and responsible governance. This session examines how technological advances can be translated into clinically meaningful and trustworthy applications in gynecology and obstetrics.

Does my Research Fit?

Original clinical, computational, experimental, technological, translational, data-science and interdisciplinary research addressing artificial intelligence, digital health or data-driven applications in gynecology and obstetrics is welcome. AI model development and validation, medical imaging research, clinical decision-support studies, digital-health evaluations, healthcare data research, implementation studies, technology assessments and responsible-AI research relevant to the session are also encouraged.

Submit your Abstract

Have research relevant to AI & Digital Health in Gynecology and Obstetrics? Submit your abstract for consideration and share your findings with an international audience of clinicians, researchers, technologists and healthcare professionals.