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 …

In the domain of using DL-based methods in medical and healthcare prediction systems, the
utilization of state-of-the-art deep learning (DL) methodologies assumes paramount …

Regular detection of defects in drainage pipelines is crucial. However, some problems
associated with pipeline defect detection, such as data scarcity and defect counting difficulty …

Rapid, reliable and accurate interpretation of medical time series signals is crucial for high-
stakes clinical decision-making. Deep learning methods offered unprecedented …

Aims Evaluating the endoscopic images of patients with ulcerative colitis can effectively
determine a reasonable treatment plan. However, the endoscopic evaluation is usually …

A pressure ulcer is an injury of the skin and underlying tissues adjacent to a bony eminence.
Patients who suffer from this disease may have difficulty accessing medical care. Recently …

Polypharmacy, the consuming of more than five drugs, is a public health problem. It can lead
to many interactions and adverse drug reactions and is very expensive. Therapeutic …

Abstract Recently, Artificial Intelligence namely Deep Learning methods have revolutionized
a wide range of domains and applications. Besides, Digital Pathology has so far played a …

Background Acute vertebral fracture is usually caused by low-energy injury with
osteoporosis and high-energy trauma. The AOSpine thoracolumbar spine injury …

With increasingly explored ideologies and technologies for potential applications of artificial
intelligence (AI) in oncology, we here describe a holistic and structured concept termed …