A deep learning model using retinal images obtained during ROP screening may be used to predict diagnosis of BPD and PH.

Overview: AI is already improving healthcare, helping doctors detect diseases faster and make more accurate treatment decisions.Hospitals use AI to save time an ...

A team of Indian and US researchers has developed an artificial intelligence (AI)-based technique to detect diabetes without ...

EON Space Labs develops high-precision, indigenous imaging systems, allowing India to monitor Earth from space in real time ...

Optical AI is revolutionizing sensor technology, integrating sensing and processing for efficient, low-power intelligent vision in real-time applications.

Glaucoma diagnostics and imaging technology represent a rapidly evolving area at the intersection of clinical ophthalmology, biomedical engineering, and ...

The human eye may literally become a window revealing the earliest signals of Alzheimer's disease, thanks to a new federally funded research initiative at Oregon Health & Science University.

A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...

Bionic LiDAR has crossed a psychological and technical threshold, delivering spatial detail that out-resolves the human ...

In a recent study, researchers from China have developed a chip-scale LiDAR system that mimics the human eye's foveation by dynamically concentrating high-resolution sensing on regions of interest ...