Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
Lost circulation, which refers to the unintended loss of drilling fluid into underground formations, presents a significant challenge in drilling operations. This issue often leads to considerable non-productive time and financial losses. To effectively address this problem, it is crucial to accurately predict loss zones, volumes, and the extent of fluid invasion. This study introduces an innovati...
The exponential rise in data exchange and cyber threats in next-generation 6G networks demands communication systems that are inherently secure at the physical layer. Terahertz (THz) waves combine huge bandwidth with strong directionality, offering a fertile platform for high-capacity and covert data transfer. Here, we introduce a deep-learning-enabled inverse-design framework that enables the cre...
No-reflow phenomenon remains a common and prognostically adverse complication of percutaneous coronary intervention (PCI), characterized by impaired m...
PURPOSE: Rectovaginal fistula from perineal body injury during delivery is rare, with limited case volumes preventing standardized protocols. We devel...
BACKGROUND: The integrity of scientific literature depends on transparent authorship and authentic communication of research findings. The release of ...
Artificial intelligence (AI) is rapidly reshaping clinical education by embedding assessment and feedback into everyday learning activities. Medical s...
Predicting lung cancer risk would enhance prevention trials. Although the Canakinumab Anti-inflammatory Thrombosis Outcome Study (CANTOS) trial demons...
Breast cancer is the most common cancer among women, and its incidence is increasing, particularly in France, due to changes in lifestyle and exposure...
Aphasiacs with impaired vocal organs suffer profound communication barriers, making silent speech decoding essential. Although audible speech is absen...
Prompt diagnosis of group A streptococcal pharyngitis is essential for primary prevention of acute rheumatic fever and rheumatic heart disease, yet af...
Computational point-of-care (POC) sensors enable rapid, low-cost, and accessible diagnostics in emergency, remote, and resource-limited areas that lac...
Exercise physiology is evolving from an organ-based framework toward a systems-level understanding, where molecular interactions between muscle, brain...
INTRODUCTION: Hospitalized patients with heart failure (HF) frequently receive multiple high-risk intravenous (IV) medications, placing them at a subs...
The rapid ageing of the global population is reshaping oral health care delivery, with increasing numbers of older adults receiving care in home-based...
BACKGROUND: Globally, middle-aged men dominate suicide statistics in many regions. To understand their heightened vulnerability, we examine the interp...
BACKGROUND: Neglected tropical diseases disproportionately affect underserved populations, with snakebite envenoming (SBE) remaining one of the most o...
INTRODUCTION: Effective communication of health messages is essential. Pharmacy educators face the challenge of adapting curricula or integrating Gene...
MRI can detect the most significant pathological changes of muscle-fat replacement and muscle edema in muscular dystrophies. MRI-derived texture analy...
Evaluation of body composition (BC) is a set of biomarkers, including fat, muscle and bone, that allows the quantification of an individual's composit...
This study addresses two key challenges in applying artificial intelligence (AI) image generation to visual communication design: insufficient alignme...