Latest AI and machine learning research in ophthalmology for healthcare professionals.
BACKGROUND: Traditional pain assessment methods have significant limitations due to the high variability in patient reported pain scores and perception of pain by different individuals. There is a need for generalized and automatic pain detection and recognition methods. In this paper, state-of-the-art machine learning (ML) and deep learning methods in this field are analyzed as well as pain manag...
PURPOSE: Central serous chorioretinopathy (CSC) is a retinal disease that frequently shows resolution and recurrence with serous detachment of the neurosensory retina. Here, we present a deep learning analysis of subretinal fluid (SRF) lesion segmentation in fundus photographs to evaluate CSC.
PURPOSE: Luminance contrast is the fundamental building block of human spatial vision. Therefore contrast sensitivity, the reciprocal of contrast thre...
Modern imaging optics ensures high-quality photography at the cost of a complex optical form factor that deviates from the portability. The drastic de...
PURPOSE: To investigate the correlation between choroidal thickness and myopia progression using a deep learning method.
This work demonstrates a multi-lens microscopic imaging system that overlaps multiple independent fields of view on a single sensor for high-efficienc...
Dementia and other related diseases are becoming increasingly diagnosed and are placing a serious strain on the healthcare system. Robotic technology ...
The ability to identify virus particles is important for research and clinical applications. Because of the optical diffraction limit, conventional op...
PURPOSE: We aimed to develop and test a deep-learning system to perform image quality and diabetic macular ischemia (DMI) assessment on optical cohere...
Ultrasound-guided regional anaesthesia (UGRA) involves the targeted deposition of local anaesthesia to inhibit the function of peripheral nerves. Ultr...
Information-based image processing and computer vision methods are utilized in several healthcare organizations to diagnose diseases. The irregulariti...
Artificial intelligence is the leading branch of technology and innovation. The utility of artificial intelligence in the field of medicine is also re...
We present the first pediatric case of Da Vinci Xi robot-assisted video sigmoidectomy in a 9-year-old male with chronic idiopathic constipation refrac...
As one of the non-invasive imaging techniques, myocardial perfusion imaging provides a basis for the diagnosis of myocardial ischemia in coronary hear...
Understanding others' nonverbal behavior is essential for social interaction, as it allows, among others, to infer mental states. Although gaze commun...
Patient safety event (PSE) reports are a useful lens to understand hazards and patient safety risks in healthcare systems. However, patient safety off...
PURPOSE: Optic nerve damage is the principal feature of glaucoma and contributes to vision loss in many diseases. In animal models, nerve health has t...
PURPOSE: Given the robust effectiveness of inhibiting myopia progression, orthokeratology has gained increasing popularity worldwide. However, identif...
The measurement of the diopters of spectacle lenses using an artificial neural network is proposed in this paper. A diopter is measured by obtaining t...