Story of Success

A In view of the prominence of modifiable risk factors, we are introducing a tool that can augment, track and provide individualized prevention recommendations guidelines. The proposed solution is a web/smartphone-based system that tracks individuals risk factors, health improvement or decline over time, and the individual’s probability of developing a disease, disability, or premature death.

Acute Care

Turning a New Page

Effective triage is a primary challenge in emergency departments. Since it is dependent on human judgment, the frequency of under- or over-triage is high. This project aims to develop a machine learning tool to help the medical nursing staff in accurately triaging patients upon arrival to an emergency department.

Skin Health

Skin Image Search™ searches our image database for matches and returns the name of the skin condition.

The use of artificial intelligence (AI) in the field of dermatology could provide significant benefit to both patients and dermatologists alike. Not only does AI in dermatology have potential in alerting people when they may need to see a doctor (usually through the use of a smart device), it can also be used to create an educational resource for medical students, as well as a confidence boost to physicians making a differential diagnosis.

Diabetic Retinopathy

A Story of Success

Earlier Detection of Diabetic Retinopathy with Smartphone AI. Pairing a smartphone to capture retinal images with artificial intelligence to interpret them may help overcome barriers to ophthalmic screening for the disease.

Medical Imaging

Turning a New Page

An artificial intelligence (AI) system can interpret and prioritize abnormal X-rays with critical findings, potentially reducing the backlog of exams and bringing urgently needed care to patients more quickly, according to a study appearing in Radiology.

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