Latest AI and machine learning research in surveys for healthcare professionals.
In the era of Industry 4.0, the study of Human-Robot Collaboration (HRC) in advancing modern manufac...
Artificial intelligence (AI) integration in healthcare has emerged as a transformative force, promis...
BACKGROUND: Predicting pathological complete response (pCR) from pre or post-treatment features coul...
BACKGROUND: A personal statement is a common requirement in medical residency and fellowship applica...
Chatbots are artificial intelligence (AI) programs designed to simulate conversations with humans th...
Age and aging are important predictors of health status, disease progression, drug kinetics, and eff...
OBJECTIVE: A major concern for cancer survivors after treatment is the Fear of Cancer Recurrence (FC...
BACKGROUND: Loneliness is prevalent among the elderly and has intensified due to global aging trends...
Deep learning is increasingly permeating neuroscience, leading to a rise in signal-processing applic...
In recent years, public health events have significantly impacted various aspects of human productio...
BACKGROUND: The underdiagnosis of cognitive impairment hinders timely intervention of dementia. Heal...
In causal inference, parametric models are usually employed to address causal questions estimating t...
BACKGROUND: Artificial intelligence (AI) is rapidly being adopted to build products and aid in the d...
Persistence images, derived from topological data analysis, emerge as a powerful tool for visualizin...
The implementation of home-care robots is sometimes unsuccessful. This study aimed to explore factor...
The integration of artificial intelligence, particularly Large Language Models (LLMs), has the poten...
BACKGROUND: Artificial intelligence (AI)-based chatbots have emerged as potential tools to assist in...
Background Large language models (LLMs) are increasingly explored in healthcare and education. In me...
Deep learning technologies have dramatically reshaped the field of medical image registration over t...
BACKGROUND AND OBJECTIVES: Clinical machine learning (ML) technologies can sometimes be biased and t...
OBJECTIVE: To examine the test-retest reliability, responsiveness, and clinical utility of the machi...