AIMS Caseload Tracker
Automated Method for Editing Surgical Videos
This technology offers a semi-automated method for video editing surgical videos. It runs full-length videos through a software where the outputs are edited via a computational model with biological tissue and surgical tool recognition.
Automated Opportunistic Screening for Osteoporosis
Osteoporosis affects millions of the aging United States population, yet screening for it is below recommended rates. By using pre-existing data to opportunistically search for fractures in vertebral bodies that could indicate osteoporosis, many more cases could be found. This approach uses deep learning technology to search for spinal osteoporotic compression fractures within commonly taken radiograph images acquired for other purposes.
Bundled WERT Organizational License and BAA for Alliances
Care Management Tracking System (CMTS)
CocoBot (Caring for Caregivers Online)
CocoBot is an online platform designed to assist family caregivers of patients with chronic conditions, providing personalized, evidence-based interventions. It integrates with patient health records and uses advanced natural language processing to aid providers in interacting with family caregivers and supporting the caregivers' own wellbeing.
Contrast Reaction Training
CTC PLUS
Energy-Efficient Modulated Backscatter Devices for Wireless Communication
This suite of technologies offers a versatile solution for low-energy wireless communication by creating a backscatter modulation communication device capable of working directly with conventional wireless receivers without specialized hardware.
Model for Surgical Planning and Virtual Surgery for Craniofacial, Sinus, Skull Base and Neurological Surgery
This device uses an algorithm for surgical planning by ranking surgical approaches and a combination of pathways to reach the surgical target, while reducing collateral damage. This method will be more consistent and predictable than the current method of intuition.
PainTracker
Performance Based Risk Sharing Database (PBRS)
Smartphone Camera Oximetry for Hypoxemia Screening
This application harnesses a convolutional neural network to analyze blood-oxygen saturation data captured by smartphone cameras, achieving clinical-grade accuracy in blood-oxygen saturation monitoring. It represents a significant advancement in mobile health diagnostics, enabling precise, non-invasive respiratory screening.