Latest AI and machine learning research in surveys for healthcare professionals.
Marker-based optical motion capture systems have been used as a cardinal vehicle to probe and unders...
The reliability of automated image interpretation of point-of-care (POC) echocardiography scans depe...
In recent years, a plethora of artificial intelligence (AI) chatbots have been developed and made av...
In recent times, characterized by the rapid advancement of science and technology, the educational s...
Large language models (LLMs) may facilitate and expedite systematic reviews, although the approach t...
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...
Chatbots are artificial intelligence (AI) programs designed to simulate conversations with humans th...
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 Large language models (LLMs) are increasingly explored in healthcare and education. In me...
BACKGROUND AND OBJECTIVES: Clinical machine learning (ML) technologies can sometimes be biased and t...
A polluted air environment can potentially provoke infections of diverse respiratory diseases. The d...
Inductive bias in machine learning (ML) is the set of assumptions describing how a model makes predi...
Feature selection is essentially the process of picking informative and relevant features from a lar...
The goal of debiasing in classification tasks is to train models to be less sensitive to correlation...
Measurement techniques often result in domain gaps among batches of cellular data from a specific mo...
Plants are a vital ingredient of traditional medicine in Sri Lanka, and the quantity of medicinal pl...
This scoping review examined racial and ethnic bias in artificial intelligence health algorithms (AI...
Organizations, researchers, and software increasingly use automatic speech recognition (ASR) to tran...