Domestic Violence

Preoperative considerations for nonoperating room anesthesia.

PURPOSE OF THE REVIEW: This review aims to address the unique challenges in nonoperating room anesthesia (NORA) locations, emphasizing the importance of patient selection, risk stratification, and comprehensive preoperative evaluation to ensure safe anesthetic care for increasingly complex patients. RECENT FINDINGS: The volume of NORA procedures has risen significantly, with patients often present...

Algorithmic bias in surgical risk prediction models and its impact on patient safety: a review.

The increasing adoption of machine learning and artificial intelligence in surgical risk prediction has introduced new challenges related to the fairness and equity of these algorithms. These models range from regression-based risk calculators to machine learning systems, and differential performance may reflect poor calibration within a group, which is mainly a safety concern, or unequal performa...

A Multi-Task Segmentation and Classification Network Based on Ultrasound Images for Predicting the Grading of Ascites in the Abdominal Cavity.

Abdominal trauma with bleeding is a leading cause of post-traumatic death, and detecting free fluid in the abdomen or hemoperitoneum can provide criti...

Fingerprint Spectral Inversion-Enabled Terahertz Metasurface for Multidimensional Detection of Trace Antibiotics.

Antibiotic abuse-induced residues pose a severe threat to human health, yet traditional detection methods suffer from large sample consumption and com...

Machine Learning-Based Prognostic Models for Functional Outcomes in Spinal Cord Injury: Systematic Review.

BACKGROUND: Machine learning is increasingly used to develop prognostic prediction models for spinal cord injury. Nevertheless, current studies exhibi...

Objective dyspnea measurement in real time using a forehead wearable and artificial intelligence.

Dyspnea is a complex symptom measured using subjective patient-reported ratings. Continuous, automated dyspnea measurements are needed, especially in ...

Artificial intelligence in cervical cancer screening and triage: a role-stratified systematic review and bivariate meta-analysis.

PURPOSE OF REVIEW: Artificial intelligence (AI) tools for cervical cancer screening have proliferated, but modality-pooled accuracy estimates conflate...

Transforming Systematic Reviews: Evaluating a Fine-Tuned Large Language Model for Abstract Screening in Uveitis and Retinal Vasculitis: Fine-Tuned LLM for Review Screening.

PURPOSE: To evaluate the classification performance of UveAItis, a domain-specific large language model (LLM) fine-tuned for automated title and abstr...

Transformer-accelerated discovery of inhibitors targeting the RpsAΔ438 deletion in PZA-resistant tuberculosis.

Tuberculosis is a major global public health problem caused by Mycobacterium tuberculosis. Pyrazinamide (PZA), a key first-line drug, is activated to ...

Evaluation of the BD urine culture application for artificial intelligence-assisted urine culture interpretation.

Artificial intelligence-based culture reading tools can potentially accelerate reading, improving reporting consistency in image-based interpretation,...

A deep learning framework for quantification of hepatic steatosis in whole-slide images by tile-level scoring and screening.

Objective.To develop a deep learning framework for the efficient and accurate quantification of hepatic steatosis in whole-slide images (WSIs).Approac...

Clinical and Sustainability Outcomes of Humanitarian Otolaryngology Programs: A Scoping Review.

OBJECTIVE: To investigate clinical outcomes, safety, and sustainability of humanitarian otolaryngology outreach programs in low- and middle-income cou...

Patient Perceptions on the Use of Artificial Intelligence in Creating Clinical Research Documents: Survey Study.

BACKGROUND: The use of generative artificial intelligence (AI) by pharmaceutical companies and other organizations for preparing patient-facing docume...

Transformation of trauma and orthopaedics across the six industrial revolutions: from mechanization to artificial intelligence applications in enhancing patient care.

BACKGROUND AND PURPOSE: Technological innovation has played a pivotal role in shaping trauma and orthopaedic surgery. This narrative review examines t...

Artificial intelligence-assisted screening for NTRK fusion-positive salivary gland tumors: A novel digital pathology workflow.

NTRK fusion is a promising therapeutic target for salivary gland cancer (SGC). However, the diagnostic complexity of the histological SGC subtype and ...

Emergency Nurses' Experiences With Artificial Intelligence-Driven Triage Clinical Decision Support Systems: A Protocol for a Systematic Review of Qualitative Studies.

INTRODUCTION: Emergency department overcrowding remains a critical global challenge, and artificial intelligence-driven clinical decision support syst...

Effectiveness of screening protocols to reduce MRSA colonization in a pediatric hospital.

BACKGROUND: Methicillin-resistant Staphylococcus aureus (MRSA) is a major nosocomial pathogen that can be carried asymptomatically or cause invasive i...

Accelerating the discovery of industrial PET-degrading enzymes: Evolving paradigms from bioprospecting to computational discovery.

Polyethylene terephthalate (PET) waste remains a major environmental and resource challenge, and enzymatic depolymerization offers a promising route f...

Human-AI Collaboration in Healthcare: A Scoping Review.

Artificial intelligence is increasingly embedded in clinical pathways, making effective human-AI collaboration (HAIC) a practical and policy priority ...

Assessing the relevance of biosignal-controlled robotic rehabilitation technologies: a systematic review.

Technology is transforming rehabilitative medicine by enhancing accessibility and personalisation. Robot-assisted rehabilitation uses robotic systems ...