Prevention of medical errors

Artificial Intelligence Across the Obesity Continuum: From Mechanistic Insights to Global Precision Prevention and Therapy.

Obesity is a complex, rapidly escalating global health challenge that demands innovation across biology, clinical care, and public health. This review synthesizes evidence on artificial intelligence (AI) revolutionizing obesity research and management. In mechanistic discovery, AI techniques like deep neural networks and graph architectures integrate multi-omics, microbiome, and wearable-sensor da...

Transforming Gynecologic Cancer Care Through Artificial Intelligence: A Clinician's Guide to the Evolving Landscape.

Artificial intelligence (AI) is rapidly reshaping gynecologic oncology across the continuum of care. This clinician-focused review synthesizes current evidence for AI-enabled prevention and screening (HPV-informed risk models, AI-assisted colposcopy), early detection and diagnosis (radiomics, liquid biopsy, and digital pathology), prognosis and risk prediction (multimodal models integrating clinic...

Utility of an LLM-powered experts-in-the-loop chatbot for pre- and post-operative care of cataract surgery patients.

PurposeTo evaluate the utility of CataractBot, an LLM (Large Language Model)-powered chatbot that provides doctor-verified answers to patient question...

Bipartite synchronization of delayed competitive-cooperative inertial neural networks: A sign-compensation plus event-triggered controller.

This paper investigates the bipartite synchronization problem of competitive-cooperative inertial neural networks (CCINNs) with time-varying delays un...

Integrating education-based interventions and machine learning for stunting prevention: A case study in East Lombok, Indonesia.

One of the regions in Indonesia that has the highest prevalence of stunting cases is West Nusa Tenggara, with a percentage of cases almost reaching 12...

Deep learning assisted PfAgo-programmable genetic circuit for ultrasensitive visual detection of foodborne pathogen in one-tube.

Foodborne pathogens represent a significant threat to public health. The development of rapid and sensitive detection methods is critical for the effe...

Environmental exposures, epithelial barrier dysfunction, and the evolving landscape of allergic disorders and asthma.

PURPOSE OF REVIEW: Immediate hypersensitivity disorders, such as asthma, food intolerance, and anaphylaxis, have risen dramatically since the 20th cen...

Ethics, generative AI and science communication.

In this essay, we argue that the applications of generative-AI technologies to science communication need careful consideration to ensure such uses ar...

Incorporating information retrieval into AI chatbots for patient education on thyroid eye disease.

PURPOSE: To evaluate the performance of general-purpose, retrieval-augmented, and medicine-specific AI chatbots in answering common thyroid eye diseas...

Digital Dentistry in Clinical Practice: A Scoping Review of Current Capabilities and Future Directions.

Digital technologies are transforming oral healthcare by enhancing prevention, diagnostics, treatment, and maintenance procedures. However, few compre...

Artificial Intelligence in Pediatric Surgery: From Diagnostics and Preoperative Planning to Risk Stratification: A Comprehensive Review of Current Applications.

OBJECTIVE: Artificial intelligence (AI) is increasingly explored in pediatric surgical care, yet its translation into diagnostics and preoperative pla...

Patient Safety During Transitions: Identifying and Mitigating Risks.

Transitions of care, such as intrahospital handoffs and hospital discharge, are high-risk periods for adverse events like medication errors and diagno...

Artificial Intelligence Technologies Supporting Nurses' Clinical Decision-Making: A Systematic Review.

BACKGROUND: The use of technology to support nurses' decision-making is increasing in response to growing healthcare demands. AI, a global trend, hold...

Decoding Data Science Upskilling: Insights From 5 Years of Data Science Projects at the Centers for Disease Control and Prevention, 2019-2023.

CONTEXT: Public health organizations are increasingly recognizing the value and potential of data science. However, a gap remains in understanding how...

Vibroacoustic detection of inclusions in an elastomeric tissue phantom using a multilayer perceptron classifier: A proof-of-concept study.

Accurate detection of tumor boundaries is critical for the success of oncologic surgical intervention. Traditionally, palpation can handover important...

From passive prevention to proactive intervention: An AI-assisted integrated governance system for algal bloom monitoring and control.

Algal blooms, characterized by the excessive proliferation of microalgae in a freshwater or marine ecosystem, have evolved into a global ecological, h...

Using conversational AI to reduce science skepticism.

Mistrust of the scientific consensus around issues such as climate change and vaccination is mainstream, compromising our ability to respond to existe...

Evaluating the performance of Large language models in rheumatology for connective tissue Diseases: DeepSeek-R1, ChatGPT-4.0, Copilot, and Gemini-2.0.

BACKGROUND: Large language models (LLMs) demonstrate significant potential in medical information provision and may serve as valuable tools for patien...

Development of explainable machine learning-based prediction models of depression with mild and severe insomnia in middle-aged and elderly Chinese people.

BACKGROUND: The risk of depression is significantly elevated in middle-aged and older adults with insomnia; however, the pathways between mild and sev...

Digital Eye: Deep Learning for Detecting Physeal Fractures of the Pediatric Distal Radius.

BACKGROUND: Distal radial fractures (DRFs) are some of the most common pediatric injuries, often involving the physis. Diagnostic accuracy can be chal...