<h1>Technology adoption in healthcare accelerates diagnostics and personalised care but requires data quality and trust safeguards.</h1> The summit examined accelerated technology adoption in healthcare-AI, machine learning, robotics, telemedicine and large scale data analytics-emphasising implementation pathways, workforce readiness, and digital transformation to improve diagnostics, personalised treatment and operational efficiency. It stressed that reliable AI requires high quality, curated clinical data and governance to address noisy or non valuable records, while also recognising human factors such as patient-clinician trust that affect clinical outcomes. Sessions sought to align hospital technology infrastructure and diagnostics services with collaborative innovation to transform care delivery.