Diabetes retinal screening through deep learning
Ubotica has developed a deep learning-based solution for detecting the presence of diabetic retinopathy indicators in retinal images.
Search for: diabetic retinopathy
Low cost retinal scanner could help prevent blindness
Biomedical engineers have developed a portable optical coherence tomography scanner that promises to bring the vision-saving technology to underserved regions.
Robotic scanner automates diagnostic imaging in the eye
Engineers and ophthalmologists have developed a robotic imaging tool that can automatically detect and scan a patient's eyes for markers of different eye diseases.
Diabetology 4.0: emerging technologies for diabetes care
This overview introduces smart insulin delivery systems and more innovations that help patients and doctors guide decision-making in diabetes care.
AI platform to assess blood vessel anomalies
Researchers have developed an AI platform that could one day be used in a system to assess vascular and eye diseases.
AIs detect diabetic eye disease inconsistently
Although some artificial intelligence software tested reasonably well, only one met the performance of human screeners.
Deep learning enables screening for eye disease
Researchers created a novel deep learning method that makes automated screenings for eye diseases such as diabetic retinopathy more efficient.
Towards an AI diagnosis like the doctor's
Researchers show how they can make an AI show how it's working, as well as let it diagnose more like a doctor, thus making AI-systems more relevant to clinical practice.
Smart contact lenses diagnose and treat diabetes
Researchers developed wirelessly driven ‘smart contact lens’ technology that can detect diabetes and further treat diabetic retinopathy just by wearing them.
Retinal screening in diabetes: diagnosis by robot
Physicians have been using automatic digital retinal screening, without assistance from an ophthalmologist, to detect diabetic retinal disease.
Teaching an organ-on-a-chip to see
Organ-on-a-chip technology has the potential to revolutionize drug development. Researchers have succeeded in putting various types of tissue onto chips.
Deep learning model detects diabetic eye diseases
Researchers have developed a deep learning system that may help detecting diabetic eye diseases, which could make doctors’ work easier and reduce healthcare cost.
Smartphone AI detects diabetic retinopathy
Pairing a smartphone to capture retinal images with an AI may offer a solution for better screening for diabetic retinopathy.
Role of artificial intelligence in diagnostics increases
The advent of electronic medical records with large image databases, along with advances in AI with deep learning, is offering medical professionals new opportunities to improve image analysis and disease diagnostics.