Latest AI and machine learning research in surveys for healthcare professionals.
The rapid development and integration of interconnected healthcare devices and communication network...
Political bias is an inescapable characteristic in news and media reporting, and understanding what ...
The purpose of this study was to examine the reliability and agreement between human raters (novice,...
Life support robots in care settings must be able to read a person's emotions from facial expression...
Artificial intelligence (AI) systems are increasingly being integrated in clinical care, including f...
Chronic urticaria, characterised by pruritic wheals, angioedema or both significantly impacts indivi...
BACKGROUND: Hypertension is a serious chronic disease that can significantly lead to various cardiov...
Effective evaluation and governance of predictive models used in health care, particularly those dri...
This study investigates the potential of using synthetic text to augment training data for Natural L...
Machine learning is a powerful tool for analyzing biological data and making useful predictions. The...
As artificial intelligence technology rapidly advances, its deployment within the medical sector pre...
Background High-quality translations of radiology reports are essential for optimal patient care. Be...
Single-cell high-throughput chromosome conformation capture (Hi-C) technology enables capturing chro...
Ribosome profiling (Ribo-seq) provides transcriptome-wide insights into protein synthesis dynamics, ...
To conduct a systematic review of artificial intelligence (AI) in aiding clinicians with the predic...
INTRODUCTION: In Australia, 64% of pharmacists are women but continue to be under-represented. Gener...
What predicts cross-country differences in the recovery of socioeconomic activity from the COVID-19 ...
BACKGROUND: Artificial intelligence chatbots (AIC) have sharply risen in popularity. Dermatology, he...
OBJECTIVE: Artificial intelligence (AI) models trained using medical images for clinical tasks often...
In the era of big data, ecological research is experiencing a transformative shift, yet big-data adv...
We sought to develop and validate a machine learning (ML) model for predicting multidimensional frai...