Global eye health is defined as the degree to which vision, ocular health, and function are
maximised worldwide, thereby optimising overall wellbeing and quality of life. Improving eye …

This review aimed to specify different concepts that are essential to the development of
medical devices (MDs) with artificial intelligence (AI)(AI-based MDs) and shed light on how …

The industry has embraced digitalisation leading to a greater reliance on models derived
from data. Understanding and getting insights into the models generated by machine …

Background There is a prevailing view that humans' capacity to use language to
characterize sensations like odors or tastes is poor, providing an unreliable source of …

Abstract Information that is complicated and ambiguous entails high cognitive load. Trying to
understand such information can involve a lot of cognitive effort. An alternative to expending …

Medical experts may use Artificial Intelligence (AI) systems with greater trust if these are
supported by 'contextual explanations' that let the practitioner connect system inferences to …

Pancreatic cancer is a highly aggressive and difficult-to-detect cancer with a poor prognosis.
Late diagnosis is common due to a lack of early symptoms, specific markers, and the …

Abstract Machine learning (ML) has achieved substantial success in performing healthcare
tasks in which the configuration of every part of the ML pipeline relies heavily on technical …

In recent years, artificial intelligence (AI), especially deep learning models, has increasingly
been integrated into diagnosing and treating diabetic retinopathy (DR). From delving into the …

Artificial intelligence technologies such as machine learning and deep learning employ
techniques to anticipate results more effectively without human involvement. Since AI …