AI-Powered Smartphone Pupillometry: A Game-Changer for Detecting Unreactive Pupils in Critical Care

At ISC 2025, Solvemed is introducing another critical advancement in neurological monitoring: an AI Pupillometry System, designed to accurately detect unreactive, dilated (“blown”) pupils, a key indicator of severe neurological impairment.

‍The Importance of Detecting Blown Pupils

‍Unreactive pupils can signal increased intracranial pressure (ICP) or brain herniation, conditions requiring immediate medical intervention. Traditional penlight-based assessments, however, suffer from subjectivity and inconsistency, making it difficult to identify blown pupils reliably in stroke and neurocritical care settings.

Solvemed’s AI-Driven Approach

To solve this challenge, Solvemed developed a smartphone-based AI pupillometry system, leveraging machine-learning models to provide quantitative pupillary assessments. In a clinical study involving 15 patients, the system analyzed ten distinct pupillary parameters, including pupil diameter and constriction velocity, to compute an objective Pupil Reactivity (PuRe) Score.

AI-Powered Detection “Blown” Pupils

Results demonstrated 100% accuracy in differentiating between reactive and non-reactive pupils, proving the System’s potential in critical neurological diagnostics. The System’s portability and real-time assessment capabilities offer an objective, scalable solution for use in ICUs and emergency medicine settings, ensuring that medical teams can detect life-threatening neurological changes timely and with precision.

A Paradigm Shift in Neurocritical Care

Solvemed’s AI-powered pupillometry system represents a major advancement in real-time neurological monitoring, providing healthcare professionals with a practical, non-invasive, and highly reliable tool. As this technology debuts at ISC 2025, it stands to revolutionize the landscape of stroke care, neurocritical monitoring, and emergency medicine.

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