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Machine Learning Diagnostic for Automated Identification and Classification of Bone Marrow Cells
Application
Machine learning tool to aid in the diagnosis of hematologic disorders of bone marrow.
Key Benefits
Automated machine learning-based approach for performing bone marrow differential counts that accounts for all viable cells on the smear.
Data generated by a prototype shows the system is fast and demonstrates precision compared to manual...
Published: 8/31/2023
Contributor(s): Lee Cooper, David Gutman, David Jaye, Ahmed Aljudi, Ramraj Chandradevan
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Machine Learning for Neurodegenerative Disease Diagnosis and Monitoring
Application
A machine learning classification model incorporating biomarkers for detecting Parkinson's disease.
Key Benefits
The image processing methods are simple to use, and the processing pipeline is fully automated.
The method is novel and customized to address the practical requirements of clinical and research imaging.
Market Summary
Parkinson’s...
Published: 8/31/2023
Contributor(s): Daniel Huddleston, Babak Mahmoudi
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Vital Sign Trajectory Algorithm
Application
A precision medicine algorithm that reduces mortality in sepsis patients by individualizing and targeting specific therapies to specific patients.
Key Benefits
An algorithm that uses bedside routine vital signs to optimize the precision treatment of sepsis.
Clinical data show the ability of the algorithm to identify a subset of patients...
Published: 7/28/2023
Contributor(s): Sivasubramanium Bhavani
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DicomBOT: A Framework for Image Processing
Application
Add-on software tool for medical images processing and management system.
Key Benefits
Enables easy integration of experimental image analysis software or existing research software/algorithms to clinical image management systems.
Allows fully unattended image processing.
Market Summary
DICOM® (Digital Imaging and Communication...
Published: 7/28/2023
Contributor(s): Marijn Brummer
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Virtual Reality Hotspotting for Training Healthcare Professionals
Application
A software application to educate and train healthcare professionals on addressing complex health-related needs of patients with frequent hospital visits after hospital discharge through virtual healthcare hotspotting.
Key Benefits
Remote learning without requiring colocation but achieving the same impact. Particularly useful in conditions...
Published: 7/28/2023
Contributor(s): Beth Ann Swan, Nicholas Giordano, Kristy Martyn
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Know@Home: Mobile App for Promoting the Prevention and Treatment of HIV
Application
A healthcare oriented mobile app for promoting the prevention and treatment of HIV.
Key Benefits
User-friendly application.
Contains educational information, assessments, locators, testing plans and reminders regarding sexual health and STI testing.
Market Summary
Human immunodeficiency virus (HIV) and acquired immunodeficiency...
Published: 7/28/2023
Contributor(s): Patrick Sullivan, Robert Stephenson
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Integration of Fluoroscopy Venogram and Myocardial Perfusion SPECT Image with Left-ventricular Contraction Sequence and Scar Distribution
Application
3D SPECT/venogram analysis software for optimal placement of the LV lead used in cardiac resynchronization therapy (CRT).
Key Benefits
Integrating widely available myocardial perfusion SPECT imaging with fluoroscopy venogram accurately visualize the targeted myocardial wall.
The model incorporates LV contraction sequence and scar distribution...
Published: 9/26/2023
Contributor(s): Ji Chen
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Automated Breast Arterial Calcifications Segmentation and Quantification on Mammograms Using Deep Learning
Application
Software for the quantification of breast arterial calcifications on routine mammograms to be used for risk stratification for cardiovascular outcomes.
Key Benefits
Optimized image segmentation accuracy with reduced software complexity.
Integrated calcium scoring.
Screens patients who would not normally be indicated for cardiac...
Published: 7/28/2023
Contributor(s): Hari Trivedi, Imon Banerjee, William Charles O'Neill, Xiaoyuan Guo
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Multiple Organ Localization and Segmentation for Automatic Treatment Planning
Application
A software for automatic detecting and segmenting tumors and Organs at Risk (OAR) in medical images.
Key Benefits
Automatically detect and segment tumors and OARs.
Can detect multiple organs and generate their contour maps.
Market Summary
Radiation therapy (RT) is one of the most common treatment modalities for cancer and...
Published: 7/28/2023
Contributor(s): Xiaofeng Yang, Yang Lei, Tian Liu
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CBCT-Guided Adaptive Photon and Proton Radiotherapy
Application
Generating synthetic MRI images from CBCT images with deep learning.
Key Benefits
Generate high contrast MRI images from cone-beam CT images.
High quality, high contrast images to enable precise radiation treatment.
Market Summary
Radiation therapy (RT) is one of the most common treatment modalities for cancer and is used...
Published: 7/28/2023
Contributor(s): Xiaofeng Yang, Yang Lei, Tian Liu, Jun Zhou
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