Abstract Rapid advances in Artificial Intelligence (AI) have led to diagnostic, therapeutic, and
intervention-based applications in the field of medicine. Today, there is a deep chasm …

Since the past decade, the interest towards more precise and efficient healthcare techniques
with special emphasis on diagnostic techniques has increased. Artificial Intelligence has …

The pestilential pathogen SARS-CoV-2 has led to a seemingly ceaseless pandemic of
COVID-19. The healthcare sector is under a tremendous burden, thus necessitating the …

Objectives Geriatric clinical care is a multidisciplinary assessment designed to evaluate
older patients'(age 65 years and above) functional ability, physical health, and cognitive well …

Recent progress in the realm of artificial intelligence has shown effectiveness in various
industries, particularly within the healthcare sector. However, there are limited insights on …

The respiratory system reacts instantaneously to intrinsic and extrinsic inputs. This
adaptability results in significant fluctuations in breathing parameters, such as respiratory …

Patients experiencing mental health crises often seek help through messaging-based
platforms, but may face long wait times due to limited message triage capacity. Here we …

The landscape of medical treatments is undergoing a transformative shift. Precision
medicine has ushered in a revolutionary era in healthcare by individualizing diagnostics and …

As a result of social progress and improved living conditions, which have contributed to a
prolonged life expectancy, the prevalence of strokes has increased and has become a …

This paper discusses some overlooked challenges faced when working with machine
learning models for histopathology and presents a novel opportunity to support “Learning …