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Multi-Modal Sensing Platform for Diagnosing Depression and Schizophrenia
Application
A multi-sense deep learning platform and interview protocol used for detection and assessment of depression and schizophrenia.
Key Benefits
Automated and remote mental illness assessment without the need for self-reporting or clinical observation.
Improved disease tracking for patients and clinicians.
A more objective classifier and...
Published: 7/30/2024
Contributor(s): Gari Clifford, Robert Cotes, Mina Boazak, Zifan Jiang, Seyed Salman Seyedi, Ali Bahrami Rad
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Artificial Neural Network for Prediction of Clinical Outcomes
Application
A machine learning model to predict the need for ventriculoperitoneal shunt after posterior fossa tumor resection.
Key Benefits
Highly accurate prediction of post-surgical complications.
Reducing healthcare costs by predicting prognoses and increasing efficiency of post-surgical treatment.
Market Summary
Neurosurgical procedures...
Published: 7/30/2024
Contributor(s): Kimberly Hoang, Ali Alawieh, David Bray
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Automated Sleep Analysis Using Cardiovascular Signals
Application
Sleep stage classification algorithm and diagnostic platform.
Key Benefits
Real-time sleep classification using a single electrocardiogram sensor.
Eliminates the need for multiple head, eye, skin, and heart sensors with current diagnostics.
Preliminary results using human data demonstrate high accuracy in identifying different sleep...
Published: 9/26/2024
Contributor(s): Gari Clifford, Shamim Nemati, Qiao Li, Supreeth Shashikumar
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Psychosis Prediction Using Speech Patterns
Application
Linguistic software to predict and diagnose psychosis.
Key Benefits
New method of diagnosing psychosis.
Very high accuracy rate (86.7%).
Market Summary
Psychotic disorders are mental illnesses characterized by delusions, hallucinations, and disorganized thinking and speaking. Schizophrenia is an example of a psychotic disorder....
Published: 7/30/2024
Contributor(s): Phillip Wolff, Jinho Choi
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