Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
Medication non-adherence is a global challenge with profound implications for patient health outcomes, healthcare systems, and society at large. This widespread issue leads to hundreds of thousands of preventable deaths and hospitalizations annually, and billions of dollars in avoidable healthcare costs. No country is immune to this challenge. The a:care Congress 2024, titled "Adherence is a Behav...
The rapid advancement of communicative artificial intelligence (ComAI) is profoundly impacting science communication, offering new opportunities for easier and more audience-oriented communication. However, it also poses several challenges for its practice. Based on a narrative review of literature on science communication and ComAI quality, this article develops a framework of quality principles ...
The increasing volume of publicly available data brought about by digitalization offers researchers opportunities to examine public sentiment on vario...
Obstructive sleep apnea (OSA) and related hypoxia are well-established cardiovascular and neurocognitive risk factors. Current multi-sensor diagnostic...
Communicating Narrative Concerns Entered by RNs Early Warning System (CONCERN EWS) is a machine-learning predictive model that leverages nursing surve...
: Falls among the elderly are a major public health concern, leading to increased disability and mortality. Traditional protective measures are import...
BACKGROUND/OBJECTIVES: Artificial intelligence (AI)-enabled digital interventions are increasingly used to expand access to mental health care. This P...
BACKGROUND: Attention-Deficit/Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder in children, characterized by inattention, hyperac...
BACKGROUND: Bone tumors, due to their high rate of misdiagnosis, pose significant clinical challenges in diagnosis and treatment. Medical imaging play...
Given the importance of datasets for sensing-communication integration research, a novel simulation platform for constructing communication and multi-...
In the field of interdisciplinary engineering design, the terminology used by decision-makers from different disciplinary backgrounds often exhibits s...
The integration of artificial intelligence (AI) into rhinoplasty has transformed preoperative planning and patient communication by providing highly a...
This review examines the prevention and management of postoperative delirium in cardiac surgery patients, a frequent complication linked with signific...
Background Effective communication skills are essential for quality medical practice and patient care, yet providing sufficient practice opportunities...
As the aging population in the United States grows, the need for an integrated approach to support older adults has become increasingly urgent. The SU...
In the rapidly evolving landscape of biometric technologies, integrating artificial intelligence (AI) and predictive analytics offers promising opport...
Federated Learning (FL) is an advanced distributed machine learning framework crucial in protecting data privacy and security. By enabling multiple pa...
Autism spectrum disorder (ASD) is a severe neurodevelopmental disorder that affects people's social communication and daily routine. Most existing ima...
Access to speech-language therapies that promote optimal communication outcomes is a fundamental right outlined by the United Nation's Article 19 of t...
Wrong-level spine surgery remains a significant concern in spine surgery, leading to devastating consequences for patients and healthcare systems alik...