LAIA XR, featured at an event on Artificial Intelligence serving healthcare
On September 16, the Santa Bárbara University Hospital in Soria hosted an event titled: “So far or so close? AI serving healthcare.” Healthcare professionals, managers, and technologists came together to discuss the challenges and opportunities of applying artificial intelligence in the medical field.
Among the speakers, Santiago González, CEO of ARSOFT, presented LAIA XR, our platform that combines artificial intelligence and extended reality to enhance medical visualization and surgical planning.
AI is already here
It became clear during the event that AI is not just a promise: it is already delivering tangible improvements. In medical imaging, algorithms detect patterns quickly and accurately, assisting specialists in their daily work. The goal is not to replace doctors, but to provide them with more powerful tools.
There are also clear benefits in reducing diagnostic errors. In radiology and pathology, AI acts as an automatic second opinion, capable of highlighting findings that might otherwise go unnoticed. In addition, the automation of administrative tasks frees up time for professionals to focus on what matters most: patient care
Perspectives from different fields
The roundtable “Successful experiences and future projects” brought together a variety of voices. Alongside Santiago González were José Luis Enríquez, CEO of Telómera; Daniel de Luis, Head of the Endocrinology and Nutrition Department at the Valladolid University Hospital; and María José Pérez, Technical Director of Information Systems at the Regional Health Management of Castilla y León.
Each participant shared their perspective: technologists discussed technical possibilities, clinicians explored practical applications, and managers addressed the challenges of implementing these solutions at scale. The combination of approaches enriched the discussion and provided plenty of ideas to reflect upon.
Challenges ahead
The speakers also acknowledged that challenges remain. Data quality continues to be an issue: many algorithms work well with certain groups but may fail with underrepresented populations. Data protection is another challenge, both technically and legally. Moreover, training healthcare personnel to use these new tools requires time and resources.
A change that is already noticeable
What was evident in Soria is that AI is transforming medical practice step by step. LAIA XR is an example of how technology can make a difference: it helps achieve more accurate diagnoses, plan surgical procedures more efficiently, and ultimately improve patient care.
At the end of the day, all of this has a very clear goal: using technology to improve people’s health. Events like this remind us that progress comes from combining innovation with clinical common sense.
