Highlights•Artificial Intelligence (AI) has transformed many areas such as speech and image
recognition, but not yet drug discovery.•Approaches to AI in drug discovery need to take in …

Diabetes Mellitus (DM) is a condition induced by unregulated diabetes that may lead to multi-
organ failure in patients. Thanks to advances in machine learning and artificial intelligence …

Self-supervised learning (SSL) has achieved remarkable performance in various medical
imaging tasks by dint of priors from massive unlabeled data. However, regarding a specific …

A number of large technology companies have created code-free cloud-based platforms that
allow researchers and clinicians without coding experience to create deep learning …

Background Medical artificial intelligence (AI) has entered the clinical implementation
phase, although real-world performance of deep-learning systems (DLSs) for screening …

Diabetic retinopathy (DR) is a common complication of long-term diabetes, affecting the
human eye and potentially leading to permanent blindness. The early detection of DR is …

Background Diabetic retinopathy (DR), whose standard diagnosis is performed by human
experts, has high prevalence and requires a more efficient screening method. Although …

Analyzing polysomnography (PSG) is an effective method for evaluating sleep health;
however, the sleep stage scoring required for PSG analysis is a time-consuming effort for an …

Diabetic retinopathy is a complication of diabetes that targets the eyes by damaging the
retinal blood vessels. Initially it is asymptomatic or causes fluctuating vision problems. As it …

Background The use of artificial intelligence in diabetic retinopathy has become a popular
research focus in the past decade. However, no scientometric report has provided a …