Prevention of medical errors

The Commercial Determinants of Violence: Identifying Opportunities for Violence Prevention through a Public Health-Based Framework Analysis.

Violence has immediate and long-term repercussions for the health of individuals and communities. Recent increases in the understanding of public health approaches to violence prevention have focused on the policies and practices of government, health, and other public sector agencies. However, the roles of commercial bodies in fostering and preventing violence remain largely unaddressed. The weal...

Assessing the Potential Role of Artificial Intelligence in Medication-Related Osteonecrosis of the Jaw Information Sharing.

BACKGROUND: Artificial Intelligence, by answering questions about disease prevention strategies, can contribute to making diseases more treatable in their early stages.

Recent developments in denoising medical images using deep learning: An overview of models, techniques, and challenges.

Medical imaging plays a critical role in diagnosing and treating various medical conditions. However, interpreting medical images can be challenging e...

Transforming the cardiometabolic disease landscape: Multimodal AI-powered approaches in prevention and management.

The rise of artificial intelligence (AI) has revolutionized various scientific fields, particularly in medicine, where it has enabled the modeling of ...

[How I Teach It: Robotic Surgery in the Upper GI Tract].

In this manuscript, we present our concept for training in robotic surgery of the upper gastrointestinal tract. The training concept presented here fo...

Improvement of Cancer Prevention and Control: Reflection on the Role of Emerging Information Technologies.

Cancer has become an important public health problem affecting the health of Chinese residents, as well as residents all over the world. With the impr...

Using ChatGPT-Like Solutions to Bridge the Communication Gap Between Patients With Rheumatoid Arthritis and Health Care Professionals.

The communication gap between patients and health care professionals has led to increased disputes and resource waste in the medical domain. The devel...

Translating the regulatory landscape of medical devices to create fit-for-purpose artificial intelligence (AI) cytometry solutions.

The implementation of medical software and artificial intelligence (AI) algorithms into routine clinical cytometry diagnostic practice requires a thor...

Dynamic assessment of spine movement patterns using an RGB-D camera and deep learning.

In clinical practice, functional limitations in patients with low back pain are subjectively assessed, potentially leading to misdiagnosis and prolong...

Acceleration of Graph Neural Network-Based Prediction Models in Chemistry via Co-Design Optimization on Intelligence Processing Units.

Atomic structure prediction and associated property calculations are the bedrock of chemical physics. Since high-fidelity ab initio modeling technique...

Effectiveness and safety of robot-assisted versus fluoroscopy-assisted cortical bone trajectory screw instrumentation in spinal surgery: a systematic review and meta-analysis.

Robot-assisted (RA) technology has been shown to be a safe aid in spine surgery, this meta-analysis aims to compare surgical parameters and clinical i...

Building digital patient pathways for the management and treatment of multiple sclerosis.

Recent advances in the field of artificial intelligence (AI) could yield new insights into the potential causes of multiple sclerosis (MS) and factors...

Assisting the implementation of screening for type 1 diabetes by using artificial intelligence on publicly available data.

The type 1 diabetes community is coalescing around the benefits and advantages of early screening for disease risk. To be accepted by healthcare provi...

A Q-transform-based deep learning model for the classification of atrial fibrillation types.

According to the World Health Organization (WHO), Atrial Fibrillation (AF) is emerging as a global epidemic, which has resulted in a need for techniqu...

Unlocking human-robot synergy: The power of intent communication in warehouse robotics.

As autonomous mobile robots (AMR) are introduced into workspace environments shared with people, effective human-robot communication is critical to th...

Identifying potential ligand-receptor interactions based on gradient boosted neural network and interpretable boosting machine for intercellular communication analysis.

Cell-cell communication is essential to many key biological processes. Intercellular communication is generally mediated by ligand-receptor interactio...

Deep learning-based algorithms for low-dose CT imaging: A review.

The computed tomography (CT) technique is extensively employed as an imaging modality in clinical settings. The radiation dose of CT, however, is sign...

PUFchain 3.0: Hardware-Assisted Distributed Ledger for Robust Authentication in Healthcare Cyber-Physical Systems.

This article presents a novel hardware-assisted distributed ledger-based solution for simultaneous device and data security in smart healthcare. This ...

Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service.

The healthcare sector, characterized by vast datasets and many diseases, is pivotal in shaping community health and overall quality of life. Tradition...

Conversational AI and equity through assessing GPT-3's communication with diverse social groups on contentious topics.

Autoregressive language models, which use deep learning to produce human-like texts, have surged in prevalence. Despite advances in these models, conc...