Limbix (by BigHealth)
Evidence-based digital therapeutics for adolescent mental health and behavioral activation.
InformAI is a leading-edge medical artificial intelligence company that specializes in high-resolution 3D medical imaging and predictive clinical analytics. In the 2026 landscape, InformAI stands out for its enterprise-grade clinical decision support systems (CDSS) that integrate directly into hospital Electronic Health Records (EHR). The technical architecture utilizes advanced deep learning models to process DICOM files for conditions like sinusitis and heart failure, while simultaneously leveraging longitudinal patient data for transplant risk assessments. Unlike generic AI, InformAI is built on a framework of clinical validation and regulatory compliance, ensuring that its outputs meet the rigorous standards of healthcare practitioners. Its platform focuses on specific clinical pathways—including ENT, transplant, and oncology—where precision data significantly impacts surgical outcomes and patient recovery rates. By utilizing federated learning, InformAI continuously improves its diagnostic accuracy across its hospital network without compromising sensitive patient data, making it a critical infrastructure component for modern smart-hospitals and academic medical centers seeking to reduce diagnostic variability and operational costs.
Automated segmentation and volumetric measurement of paranasal sinuses from CT scans using CNNs.
Evidence-based digital therapeutics for adolescent mental health and behavioral activation.
Predictive clinical and operational intelligence to fight death and waste in healthcare.
Predictive medical data and clinical insights for streamlined enterprise underwriting.
The professional medical network for clinicians, providing HIPAA-compliant AI and telehealth solutions.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Predictive modeling for post-transplant outcomes based on donor-recipient compatibility and longitudinal health data.
Real-time data ingestion and write-back capabilities for major EHR systems.
Distributed training architecture that improves models across multiple institutions without data migration.
Deep learning analysis of histopathology slides for oncology staging.
Visual heatmaps (Grad-CAM) showing the clinician exactly which areas of an image influenced the AI's decision.
NLP processing of clinical notes to suggest accurate ICD-10 and CPT codes.
Manual grading of sinus CT scans is time-consuming and subjective.
Registry Updated:2/7/2026
High mortality rates due to poor donor-recipient matching.
Hospitals face penalties for high readmission rates within 30 days.