THE NEXT STEP IN HUMAN
CENTRIC HEALTHCARE

NVISO provides artificial intelligence that can sense, assess and act upon human behaviour,
transforming patient care for medical devices manufacturers and healthcare service providers.

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Create Patient-Centric Experiences
Patient Monitoring

REMOTE VITAL SIGN MONITORING

Non-invasive observational sensors (for heart rated, breathing frequency, movement patterns, etc) are important components in many medical applications. However, a cloud-based implementation of the sensing would be too slow in time critical contexts. This is not the only problem of cloud systems as storing generated data in them is also a privacy concern. Issues of latency and privacy can be solved by using edge AI.

PERSONALISED MEDICINE

Human physiology can vary greatly from individual to individual. Examples for that include blood pressure or lung capacity. However, these differences need to be considered for accurate and robust medical applications like vital sign monitoring. Due to privacy concerns, it is difficult to process this information in the cloud-based solutions. Edge AI offers the possibility of maintaining privacy when processing medical data. Furthermore, many medical applications require real time processing, which can be better realised with local AI.

INJURY PREVENTION

Modern methods to analyse lower-limb injuries are essential for athletes, They are accounting for 77% of hospitalised sport-related injuries, and are a risk factor for early-onset osteoarthritis. High-impact forces are one of the factors contributing to lower-limb injuries. To decrease the prevalence of lower-limb injuries, and their associated long-term disability and economic burden, multiple injury prevention programs have been proposed. These take into account the study of ground reaction forces (GRFs) in order to enhance athletes’ performance, determine injury-related factors, and evaluate rehabilitation programs’ outcomes.

AI Apps for
Advanced Emotions

Patient Assessment

AI has the ability to transform pain management for vulnerable patients with innovative facial muscle movement analytics. This enables accurate pain assessment of patients with communication difficulties such as dementia or with pre-verbal children.

Patient Monitoring

Highly accurate biometrics analysis helps in the identification of individuals by precisely recognizing their unique characteristics to ensure patient security. Reliably identify patients and caregivers at the bedside and in the home environment.

Patient Profiling

Machine learning enables patient emotional profiling to address various challenges in communication and medical procedures. The applications range from identifying patients' reactions to verbal advice, to real-time monitoring in medical operations.

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Human Behaviour AI SDK

Create Patient-Centric ExperiencesPatient Monitoring