Breakthrough advances in AI and machine learning (ML) have led to ambitious visions of how new systems can help revolutionize healthcare. These range from new approaches to understanding health risks, predicting disease progression, and creating personalized health interventions for improved patient outcomes; through to the development of innovative tools to support the practices of healthcare professionals, and reduce spending.
To realize this tremendous potential requires the development of machine learning applications that are effective, trustworthy and implementable in real healthcare contexts. Tackling this challenging ambition is the Healthcare Intelligence team at Microsoft Research Cambridge – a multi-disciplinary group of machine learning experts, social scientists, designers and engineers. Working jointly with experts in healthcare, privacy and compliance, the team develops human-centred ML solutions that can transform care pathways and improve health outcomes. This includes a strong focus on the development of “responsible AI” technology to ensure that the types of solutions we create will benefit all people, and align with their values and ethics. We approach this by following Microsoft’s AI Principles of: fairness, reliability & safety, inclusiveness, privacy & security, accountability and transparency.
We are particularly interested in the following areas: