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 ...

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 ...

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

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

Overview: AI now supports doctors across diagnosis, triage, and operations in hospitals and clinics.From cancer screening to ...

Fourth-quarter revenue of $9.75 billion increased 9% sequentially and 5% year on year; Fourth-quarter GAAP EPS of $0.55 ...

The funding will support 12 projects in science, engineering and medicine.UNSW Sydney academics have been awarded more than $20 million in the latest ...

Drawing inspiration from the remarkable adaptability of the human eye, researchers from the Institute of Metal Research (IMR) of the Chinese Academy of Sciences have developed a novel phototransistor ...

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

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.

AI is reshaping clinical practice in retinal imaging and workflow optimization, according to Priv.-Doz. Dr. med. Jan H.