AI-driven, real-time psychotherapy support system with diarization, transcription, NLP, and unbiased clinician insights.

DOTCOPS automates optimal crusher and phase-cycle schemes in MR spectroscopy, suppressing unwanted coherence pathways across sequences.

Autonomous, cloud-driven MRI system automates patient data, acquisition, and imaging remotely, expanding access and reducing need for on-site technicians.

NeuroScore AI automates transcription and scoring of cognitive test audio to quantify Alzheimer's risk, speeding, unbiased.

Dual-head MRI with local shimming enables simultaneous two-subject fMRI, enhancing social interaction neuroscience and efficiency.

Attention-based deep learning quantifies right ventricular volume from 2D echocardiography, enabling affordable, accurate, accessible cardiac assessment.

Integrated dental EHR prompts HIV screening, streamlining point-of-care testing to broaden access and awareness.

A cross-platform, scalable neural data framework for real-time storage, processing, and retrieval across commercial neurotech devices.

Deep-learning desktop GUI automating multimodal cardiac tissue video analysis for high-throughput drug screening and phenotyping.

Mobile, portable overground pelvic- assist gait trainer using cable-based TPAD with real-time pelvic tracking for rehab.

Bayesian optimization reduces calculations for multiplex cancer screening without assumptions, updating predictions with real-world data.

AI-based MRI denoising and reconstruction using AFT-Net enables faster, clearer preclinical scans with fewer contrast requirements.

Low-cost, web-based platform guiding caregivers in behavior-driven prevention of childhood tooth decay, improving equity and access.

Wastewater surveillance for SARS-CoV-2 enables high-throughput community viral load, variant detection, and outbreak prediction.

Automated speech-analysis tool detects cognitive impairment to screen for MCI/AD noninvasively, enabling early intervention.