Latest AI and machine learning research in ophthalmology for healthcare professionals.
Automatically generating image captions poses one of the most challenging applications within artifi...
BACKGROUND: Silkworm pupae (SP), the pupal stage of an edible insect, have strong potential in the f...
Despite the outstanding performance of deep learning (DL) models, their interpretability remains a c...
PURPOSE: To determine whether convolutional neural networks (CNN) can classify the severity of centr...
The past decade has seen the introduction of artificial intelligence (AI)-based approaches aimed at ...
The variability in image modalities presents significant challenges in medical image classification,...
CorneAI, a deep learning model designed for diagnosing cataracts and corneal diseases, was assessed ...
Advances in regenerative medicine highlighted the need for label-free cell image analysis to replace...
Using follow-up data from the National Health and Nutrition Examination Survey (NHANES) database, we...
High-frequency oscillations (HFOs) in intracranial EEG (iEEG) recordings are critical biomarkers for...
Rat models are widely used to study cataracts due to their cost-effectiveness and prominent physiol...
OBJECTIVE: Recent studies investigated the potential of large language models (LLMs) for clinical de...
Abnormal head postures (AHPs) are frequently adopted as compensatory mechanisms by individuals affec...
Retinal diseases are a serious global threat to human vision, and early identification is essential ...
Recently, with the development of the Convolutional Neural Network and Vision Transformer, the detec...
BACKGROUND: Early maladaptive schemas (EMSs) are pervasive, self-defeating patterns of thoughts and ...
PURPOSE: To evaluate ChatGPT's ability to analyze comprehensive case descriptions of patients with u...
Diabetic Macular Edema (DME) is a major complication of diabetic retinopathy characterized by fluid ...
Sensory information transmitted to the brain activates neurons to create a series of coping behavior...
OBJECTIVES: To develop and evaluate a deep learning model for segmentation of the coronary artery ve...
Minimally invasive surgery (MIS) has revolutionized many procedures and led to reduced recovery time...