Artificial Intelligence (AI) solutions have been widely used in healthcare, and recent
developments in deep neural networks have contributed to significant advances in medical …

Diabetes Mellitus is a severe, chronic disease that occurs when blood glucose levels rise
above certain limits. Over the last years, machine and deep learning techniques have been …

Automated retinal image analysis holds prime significance in the accurate diagnosis of
various critical eye diseases that include diabetic retinopathy (DR), age-related macular …

Background The application of deep learning to retinal photographs has yielded promising
results in predicting age, sex, blood pressure, and haematological parameters. However, the …

The need for time and attention given by the doctor to the patient, due to the increased
volume of medical data to be interpreted and filtered for diagnostic and therapeutic purposes …

Artificial intelligence is a broad field that comprises a wide range of techniques, where deep
learning is presently the one with the most impact. Moreover, the medical field is an area …

The healthcare burden of cardiovascular diseases remains a major issue worldwide.
Understanding the underlying mechanisms and improving identification of people with a …

Cardiovascular diseases (CVDs) are the leading cause of death globally. The use of artificial
intelligence (AI) methods—in particular, deep learning (DL)—has been on the rise lately for …

Aims Automatic identification of pachychoroid maybe used as an adjunctive method to
confirm the condition and be of help in treatment for macular diseases. This study …

Purpose To provide a summary of the research advances on ocular images-based artificial
intelligence on systemic diseases. Methods Narrative literature review. Results Ocular …