Sheridan Reed
A5012654110- Artificial Intelligence in Healthcare and Education
- COVID-19 diagnosis using AI
- Privacy-Preserving Technologies in Data
- Cardiac Arrest and Resuscitation
- Hepatocellular Carcinoma Treatment and Prognosis
- Spectroscopy Techniques in Biomedical and Chemical Research
- Ultrasound and Hyperthermia Applications
- Face recognition and analysis
- 3D Shape Modeling and Analysis
- Robotics and Sensor-Based Localization
- Respiratory Support and Mechanisms
- Thermal Regulation in Medicine
National Institutes of Health Clinical Center
2021-2024
National Institutes of Health
2021
National Cancer Institute
2021
Federated learning (FL) is a method used for training artificial intelligence models with data from multiple sources while maintaining anonymity, thus removing many barriers to sharing. Here we 20 institutes across the globe train FL model, called EXAM (electronic medical record (EMR) chest X-ray AI model), that predicts future oxygen requirements of symptomatic patients COVID-19 using inputs vital signs, laboratory and X-rays. achieved an average area under curve (AUC) >0.92 predicting...
Abstract ‘Federated Learning’ (FL) is a method to train Artificial Intelligence (AI) models with data from multiple sources while maintaining anonymity of the thus removing many barriers sharing. During SARS-COV-2 pandemic, 20 institutes collaborated on healthcare FL study predict future oxygen requirements infected patients using inputs vital signs, laboratory data, and chest x-rays, constituting “EXAM” (EMR CXR AI Model) model. EXAM achieved an average Area Under Curve (AUC) over 0.92,...
Heat-induced destruction of cancer cells via microwave ablation (MWA) is emerging as a viable treatment primary and metastatic liver cancer. Prediction the impacted zone where cell death occurs, especially in presence vasculature, challenging but may be achieved biophysical modeling. To advance characterize thermal MWA for focal treatment, an vivo method experimental dataset were created assessment models designed to dynamically predict parameters, given delivery device, power, location,...
To aid in the diagnosis, monitoring, and surveillance of bladder carcinoma, this study aimed to develop test an algorithm that creates a referenceable map rendered from standard cystoscopy videos without need for specialized equipment. A vision-based was developed generate 2D maps individual video frames, by sequentially stitching image frames based on matching surface features, subsequently localize track during reevaluation. The calibrated model 3D anthropomorphic phantom. performance...
The COVID-19 pandemic demonstrated the need for inexpensive, easy-to-use, rapidly mass-produced resuscitation devices that could be quickly distributed in areas of critical need. In-line miniature ventilators based on principles fluidics ventilate patients by automatically oscillating between forced inspiration and assisted expiration as airway pressure changes, requiring only a continuous supply pressurized oxygen. Here, we designed three ventilator models to operate specific ranges along...