AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Eye

Showing 21 to 30 of 63 articles

Clear Filters

Early detection of visual impairment in young children using a smartphone-based deep learning system.

Nature medicine
Early detection of visual impairment is crucial but is frequently missed in young children, who are capable of only limited cooperation with standard vision tests. Although certain features of visually impaired children, such as facial appearance and...

Deep Learning-Based Classification of Subtypes of Primary Angle-Closure Disease With Anterior Segment Optical Coherence Tomography.

Journal of glaucoma
PRCIS: We developed a deep learning-based classifier that can discriminate primary angle closure suspects (PACS), primary angle closure (PAC)/primary angle closure glaucoma (PACG), and also control eyes with open angle with acceptable accuracy.

Person-Specific Gaze Estimation from Low-Quality Webcam Images.

Sensors (Basel, Switzerland)
Gaze estimation is an established research problem in computer vision. It has various applications in real life, from human-computer interactions to health care and virtual reality, making it more viable for the research community. Due to the signifi...

Machine Learning Analysis of Physical Activity Data to Classify Postural Dysfunction.

The Laryngoscope
BACKGROUND: Machine learning (ML) analysis of biometric data in non-controlled environments is underexplored.

Ocular images-based artificial intelligence on systemic diseases.

Biomedical engineering online
PURPOSE: To provide a summary of the research advances on ocular images-based artificial intelligence on systemic diseases.

Deep learning for automated detection of neovascular leakage on ultra-widefield fluorescein angiography in diabetic retinopathy.

Scientific reports
Diabetic retinopathy is a leading cause of blindness in working-age adults worldwide. Neovascular leakage on fluorescein angiography indicates progression to the proliferative stage of diabetic retinopathy, which is an important distinction that requ...

Evaluation and Comparison of Ophthalmic Scientific Abstracts and References by Current Artificial Intelligence Chatbots.

JAMA ophthalmology
IMPORTANCE: Language-learning model-based artificial intelligence (AI) chatbots are growing in popularity and have significant implications for both patient education and academia. Drawbacks of using AI chatbots in generating scientific abstracts and...