Latest AI and machine learning research in ophthalmology for healthcare professionals.
PURPOSE: This study explored large language models (LLMs) as a scalable solution to the global shortage and uneven distribution of ophthalmologists, particularly their actual effectiveness and potential risks in ophthalmic training. DESIGN: This is a prospective study. SUBJECTS: Eleven leading LLMs (ERNIE Bot 4.5 Turbo, Dou Bao, Tongyi Qianwen 3, DeepSeek-R1, ChatGPT-4o, Gemini 2.5 Flash, Tencent ...
Accurate, non-invasive grading of fish freshness remains challenging in dense and occluded environments, where the fish eye images serve as a reliable and consistently visible indicator of freshness. Loss of structural cues in the fish eye image often limits the existing deep learning models (DLN) from having consistent learning. To address these limitations, this work aims to develop a fusion-bas...
INTRODUCTION: Visual impairment and blindness continue to represent a substantial disease burden in Hungary. According to national epidemiological dat...
This article presents a multispectral imaging dataset dedicated to training a machine learning algorithm for the in situ detection of Huanglongbing (H...
PURPOSE: To investigate the effect of cataracts on a deep learning (DL) model for cardiovascular disease (CVD) risk prediction. METHODS: This retrospe...
BACKGROUND: Nurses are concerned that artificial intelligence (AI) could undermine the holistic, intuitive, and experience-based clinical judgment tha...
AIMS: Diabetic retinopathy (DR) is a leading cause of vision impairment in type 2 diabetes mellitus (T2DM), with non-proliferative DR (NPDR) represent...
Dry eye disease (DED) is a prevalent multifactorial chronic disorder of the ocular surface, characterized by a loss of tear film homeostasis and accom...
Artificial intelligence is expanding rapidly in cardiovascular medicine, but its value in internal medicine depends less on raw model performance than...
OBJECTIVE: To develop and validate an artificial intelligence (AI)-driven pipeline to quantify vitreous hyperreflective foci (vHRF) from OCT images an...
The rapid expansion of the industrial chemical space has outpaced regulatory oversight, creating a critical regulatory and environmental blind spot re...
Anthracnose and fruit fly infestation are major biotic constraints on guava (Psidium guajava) production in South Asia, causing substantial yield loss...
This issue of the Biomedical Journal explores emerging perspectives across neuropsychiatry, metabolism, aging, regenerative medicine, artificial intel...
Precision management of ocular complications in systemic autoimmune diseases, such as Sjögren's syndrome (SS), systemic lupus erythematosus (SLE), Beh...
As the major cause of sight impairment in working age adults is diabetic retinopathy (DR) which requires timely and proper diagnosis to avoid the irre...
PURPOSE: To evaluate the diagnostic accuracy of two commercially available artificial intelligence (AI) systems based on color fundus photography (CFP...
PURPOSE: Macular disease can cause significant visual morbidity. Timely and accurate diagnosis and management is paramount. However, there is a lack o...
Conventional retinal imaging has historically been limited to the posterior pole, capturing only 30-50° field-of-view. The advent of widefield (WF) an...