Navigating the future of healthcare with purpose and precision

Healthcare is facing immense challenges: global staff shortages, rising administrative demands, increasingly complex procedures, and barriers to accessing care. At Philips, we continually ask ourselves: How can we expand access to care and improve efficiency despite these mounting challenges?

Artificial intelligence is central to the answer — creating workflow efficiencies, accelerating insights, and supporting clinical confidence. But our focus extends beyond the promise of technology. We’re driven by its practical, real-world application - how innovation delivers real, sustainable impact at the point of care.

One of the more urgent challenges? Clinicians are overwhelmed by inefficient workflows and administrative burden. AI-enabled technologies are already helping to ease this strain. For example, automated quantification technologies now offer zero-click capabilities, saving radiologists time and reducing cognitive load. Decision support tools are delivering faster, more accurate, and more consistent diagnosis, freeing up specialists to focus on interpretation and patient care.

We’re also advancing new tools like conversational reporting using Ambient AI, allowing clinicians to use conversational language to convert findings into structured reports, helping clinicians navigating growing caseloads and documentation demands. As Dr. J.J. Visser, Radiologist and CMIO at Erasmus Medical Center, explains:

"Ambient reporting in radiology is just the beginning of utilizing large language models in reporting. It's not only about speed; with fewer distractions from the reporting tool, I can focus more on image details and produce higher-quality reports in less time."

With more than 4 billion diagnostic imaging studies generated globally each year, the demand on radiologists is massive. AI-powered reporting innovations, now being scaled through cloud-based enterprise imaging services across Europe, are designed to alleviate this pressure. These tools reduce time-consuming tasks like manual data entry, while connecting seamlessly to the broader imaging workflow, support speed, accuracy, and clinician focus.

At Philips we believe AI should not only be powerful – it must be purposeful and empowering. In diagnostic imaging, our solutions are developed hand-in-hand with clinical partners to improve outcomes and reduce burnout. Every product we bring to market is designed with a core question in mind: How can we make healthcare professionals’ lives easier?

Of course, building solutions isn’t enough. We must deploy them responsibly. AI at scale introduces challenges around data volume, energy use, and resource optimization – especially in imaging. That’s why sustainability is a foundational principle in our design approach, not a secondary consideration.

Above all, trust is non-negotiable. AI in healthcare must be grounded in transparency, data security, and human oversight. Patient data must be protected. Clinical confidence must be earned. Every Philips solution is built on this commitment.

This is a transformative moment for healthcare. AI is expanding access to care, enabling earlier and more affordable interventions, and driving clinical breakthroughs in the treatment of areas like stroke and Alzheimer’s. Minimally invasive treatments are offering new hope to patients who once had none.

At Philips, we’re committed to improving people’s health and well-being through meaningful innovation — by reducing the burden of care, expanding accessibility, and empowering the professionals who deliver it. That is our purpose. And that's the future we’re building, together.