Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
BACKGROUND: Deaf individuals often face communication challenges when interacting with those who can hear. Within health care settings, these challenges may pose risks to their safety, potentially resulting in misdiagnoses, treatment errors, and decreased quality of care. OBJECTIVE: This study aims to systematically review the evidence on communication systems reported in the literature that use h...
High-speed railway wireless communication systems are characterized by severe Doppler shifts and fast time-varying multipath, which challenge reliable connectivity in Long-Term Evolution for Railways (LTE-R). This paper studies the two data-driven frameworks to enhance the communication quality so as to reduce the error probability under such highly dynamic propagation conditions. The first framew...
Accurate air quality prediction plays a crucial role in supporting various socio-economic activities, including agriculture, transportation, and disas...
BACKGROUND: Anterior cruciate ligament (ACL) injuries are prevalent in sports, with significant physical, economic, and long-term health impacts. Arti...
BACKGROUND: Traditional weight-centered models do not fully capture the biological complexity of obesity. Systems biology offers a new framework by in...
Medical education has long relied on stable, high-level program objectives to articulate the outcomes of undergraduate medical training. These objecti...
Large language models (LLMs) mark a structural turning point in digital medicine, as they are now capable not only of processing medical information b...
BACKGROUND: Long-acting injectable PrEP (LA-PrEP) is a novel HIV prevention modality recently approved in Europe, offering an important addition to HI...
BACKGROUND: Advances in medical imaging have led to massive archives, yet navigating these datasets remains challenging due to the limitations of trad...
In August 2024, the World Health Organization declared the ongoing mpox upsurge in Africa a Public Health Emergency of International Concern, undersco...
Diagnostic AI can misclassify under distribution shift and subgroup imbalance; governance signals are rarely computable at deploy time. We target depl...
In major epidemic prevention and control, sustained public compliance with policies is crucial. This study is based on three-phase survey data from 48...
Accurate diagnosis of brain disorders (BDs) is challenging in clinical practice. Most existing deep learning-based methods perform diagnosis only in a...
Acute spinal cord injury (SCI) remains a life-threatening condition associated with substantial morbidity, mortality, and long-term disability. Despit...
Major depressive disorder (MDD) is a leading risk factor for suicide. Within the US Department of Veterans Affairs (VA), psychotherapy is widely used ...
INTRODUCTION: The use of artificial intelligence (AI), particularly conversational agents such as ChatGPT, is expanding in the healthcare industry. We...
Modern cardiology is entering a phase where improving the prevention, diagnosis, and treatment of cardiovascular diseases (CVD) necessitates a deeper ...
Developmental cascade models provide a valuable framework for understanding how risk and protective factors interact over time to shape health and beh...
BACKGROUND: Artificial intelligence-enabled ambient speech recognition technology is an emerging innovation poised to transform how nurses care for an...
Continuous and reliable monitoring of soldiers' health in remote and resource-constrained environments is essential for operational readiness and time...