Latest AI and machine learning research in diabetes for healthcare professionals.
IMPORTANCE: Anomaly detectors could be pursued for retinal diagnoses based on artificial intelligenc...
PURPOSE: To develop an automated diabetic retinopathy (DR) staging system using optical coherence to...
The bioactive peptide has wide functions, such as lowering blood glucose levels and reducing inflamm...
For the past ten years, the healthcare sector and industry has witnessed a surge in Artificial Intel...
PURPOSE: To evaluate the screening potential of a deep learning algorithm-derived severity score by ...
PURPOSE: To analyze the effect of transfer learning for classification of diabetic retinopathy (DR) ...
PURPOSE: We aimed to develop and test a deep-learning system to perform image quality and diabetic m...
MicroRNAs constitute small non-coding RNAs that play a pivotal role in regulating the translation an...
OBJECTIVES: Chronic kidney disease (CKD) has become an important public health problem in the world....
BACKGROUND AND OBJECTIVES: Retinopathy of prematurity (ROP) is a leading cause of childhood blindnes...
Vitamin D plays a protective role against COVID-19. Patients with deficiency of vitamin D are more p...
PURPOSE: To evaluate the clinical performance of an automated diabetic retinopathy (DR) screening mo...
Kidney biopsy interpretation is the gold standard for the diagnosis and prognosis for kidney disease...
Retinopathy screening is a non-invasive method to collect retinal images and neovascularization dete...
Diabetic retinopathy (DR) is one of the most common chronic diseases around the world. Early screeni...
Ophthalmology has been one of the early adopters of artificial intelligence (AI) within the medical ...
BACKGROUND: The prevalence of type 2 diabetes has increased substantially in India over the past 3 d...
OBJECTIVE: The study sought to determine whether machine learning can predict initial inpatient tota...
PURPOSE: Fundus images are typically used as the sole training input for automated diabetic retinopa...
PURPOSE: To investigate the effect of denoise processing by artificial intelligence (AI) on the opti...
Multicolor (MC) imaging is an imaging modality that records confocal scanning laser ophthalmoscope (...