Introduction Recent developments in the field of Artificial Intelligence (AI) applied to
healthcare promise to solve many of the existing global issues in advancing human health …

Objectives Patient representation learning refers to learning a dense mathematical
representation of a patient that encodes meaningful information from Electronic Health …

Several studies have shown how energy poverty (EP) increases morbidity and mortality,
being a growing problem worldwide. We conducted a sco** review to synthesize the state …

The topic of consumer food choice has received much attention among researchers and
stakeholders within the food industry. However, in order to better facilitate food consumption …

Objectives This study aims to contribute to an understanding of the explainability of
computer aided diagnosis studies in radiology that use end-to-end deep learning by …

Objective The purpose of this systematic review and meta-analysis was to evaluate the
accuracy (trueness and precision), marginal and internal adaptation, and margin quality of …

Ultrasound is widely used in the diagnosis and therapy of cancer. Tumors can be treated by
thermal or mechanical tissue ablation. Furthermore, tumors can be manipulated by …

Abstract Background Many people with Type 2 Diabetes Mellitus (T2DM) use herbal
medicines, some of which can improve glycaemic control. Providing evidence-based advice …

Dementia is a leading global cause of morbidity and mortality. Evidence suggests that
tackling modifiable lifecourse risk factors could prevent or delay a significant proportion of …

Basal cell carcinoma (BCC) is the most common cancer in the United States. Sunburn is a
modifiable risk factor for BCC. The objective of this project was to synthesize research on …