Trust and transparency in predictive medicine and machine learning supports to the patient journey

The deployment of Artificial Intelligence (AI) and Machine Learning (ML) to support clinical decision-making, screening programs, patient self-management and stratify populations on the basis of health risk is increasing across of sectors of health care. Significant leaps have also been made in the technology used to produce and deploy data models and prediction for use within clinical and wider population settings.

The panel will present on their work deploying and evaluating the use of AI and ML in the specific areas of breast cancer screening and dementia assessment and will also consider the importance of transparency and establishing patient, clinician and citizen trust in these digital supports.