KBO Systems provides an AI-driven brain monitoring platform that uses EEG and AEP data to assess cognitive states in surgical patients. The system offers real-time insights for personalized anesthesia management and predicts postoperative cognitive recovery risks, aiming to improve patient outcomes.
Funding
Funding not disclosed
Founders
Product
Problem
Postoperative cognitive dysfunction affects a significant percentage of elderly surgical patients, leading to extended hospital stays, increased healthcare expenditures, and elevated mortality rates. Existing monitoring tools are often insufficient, failing to detect early indicators of cognitive decline or provide personalized anesthetic management.
Solution
KBO Systems offers an AI-driven brain monitoring platform designed for surgical environments. This system integrates electroencephalography (EEG) and auditory evoked potentials (AEP) with advanced machine learning algorithms to provide real-time insights into a patient's cognitive state. The platform can identify early signs of cognitive impairment, including risks for mild cognitive impairment (MCI) and pre-dementia conditions, before and during surgery. It enables personalized anesthesia delivery by monitoring drug-specific effects on brain activity, thereby optimizing anesthetic depth. Furthermore, the system predicts postoperative neurocognitive recovery risks, allowing for proactive management and safer patient discharge.
Target Audience
The primary customers are anesthesiologists, surgeons, and hospital systems seeking to improve patient safety and optimize surgical outcomes through advanced perioperative brain monitoring.
Features
- AI-powered analysis of EEG and AEP signals for real-time cognitive state assessment.
- Pre-operative risk stratification for MCI, pre-dementia, and Alzheimer's disease.
- Intra-operative drug-specific anesthesia monitoring to personalize anesthetic delivery.
- Post-operative recovery risk prediction for enhanced patient management.
- Integration of multiple physiological data streams for comprehensive brain health monitoring.
- Proprietary algorithms for early detection of subtle neurological changes.