We curate most relevant posts about Health Tech on LinkedIn and regularly share key takeaways.
This edition examines the strategic integration of artificial intelligence and digital innovation in healthcare as of early 2026, marking a clear shift from experimentation to execution. The contributors highlight how AI-driven triage, non-invasive glucose monitoring, and modular robotic surgery are moving medical practice toward more proactive, augmented, and efficient care models. However, the texts emphasise that successful adoption requires robust reliability, strong “clinical DNA” within product teams, and a reduction in pilot churn to prevent clinician burnout and erosion of trust. There is a strong focus on improving patient empowerment through foundational health habits rather than technology alone, while also addressing significant risks such as the perceived weakening of software regulation enforcement and the challenges posed by the EU AI Act. Industry leaders from GE HealthCare, Philips, and Siemens Healthineers detail concrete advancements in photon-counting CT, community-based MRI access, and collaborative Alzheimer’s care initiatives. Ultimately, the collection portrays a sector at a critical turning point, moving from experimental pilot projects to scalable, intelligence-led infrastructure.
This podcast was created via Google NotebookLM.
