Latest AI and machine learning research in surveys for healthcare professionals.
Threatened miscarriage represents one of the most prevalent obstetric emergencies globally. Neverthe...
Clinical and population decision-making relies on the systematic evaluation of extensive regulatory ...
Primary care is facing multiple crises, including an increase in health misinformation. Digital heal...
Bias in machine learning is a persistent challenge because it can create unfair outcomes, limit gene...
Heart failure (HF), including heart failure with preserved ejection fraction (HFpEF) and heart failu...
The estimates of national disease risk are considerably limited by the time of conducted surveys and...
Neoadjuvant chemotherapy (NAC) is the standard of care for locally advanced breast cancer. However, ...
Depression is a leading cause of global disability. Timely identification of patients at risk for cl...
Large language models are increasingly used for clinical decision support yet may perpetuate socioec...
This study aimed to systematically review and critically evaluate the risk of bias and applicability...
The dispersed node locations and complex topologies of edge networks, combined with intricate dyna...
Studies have indicated that personality is related to achievement, and several personality assessm...
Chronic urticaria, characterised by pruritic wheals, angioedema or both significantly impacts indivi...
An understanding of the nature and function of human trust in artificial intelligence (AI) is fundam...
Effective evaluation and governance of predictive models used in health care, particularly those dri...
Political bias is an inescapable characteristic in news and media reporting, and understanding what ...
The rapid development and integration of interconnected healthcare devices and communication network...
Artificial intelligence (AI) systems are increasingly being integrated in clinical care, including f...
The purpose of this study was to examine the reliability and agreement between human raters (novice,...
Introduction: Healthcare AI models often inherit biases from their training data. While efforts ha...
The rapid development of large language models (LLMs) and large vision models (LVMs) have propelle...