Women's Health and Cancer Awareness

Digital Health and Artificial Intelligence

Sessions may also consider large language models for documentation and patient messaging, clinical chatbots, and automated symptom triage, with safety guardrails and clear escalation rules. Presentations will examine wearables, remote monitoring, teleoncology, and mobile reminders that improve screening adherence. Researchers will discuss federated learning, digital twins, and explainability methods that make model decisions auditable. Attention will be given to prospective validation, regulatory approval of AI devices, bias auditing across age, skin tone, and geography, and human oversight in final decisions. Interoperability standards, data governance, cybersecurity, and consent frameworks will be reviewed. Clinician training, change management, and workflow fit will determine whether tools are actually used in practice. Digital exclusion among older, rural, and low-income women will also be addressed.