Risk Management

Artificial Intelligence for Colorectal Surgeons - Part II: Research Applications, Challenges in Adoption and Practical Resources.

BACKGROUND: This is Part II of a two-part series examining artificial intelligence (AI) in colorectal surgery. Part I established foundational concepts and clinical applications. Implementation, however, requires understanding research methodologies, available resources, and the specific challenges currently limiting widespread adoption. This will be the focus of Part II. OBJECTIVE: To examine art...

Three-dimensional modeling of sensory nerve architecture and eosinophil and mast cell interactions in eosinophilic gastrointestinal disease.

Increased sensory nerve density has been described in type II inflammatory conditions and is linked to eosinophil and mast cell infiltration and neuropathic pain. To examine these relationships in eosinophilic gastrointestinal diseases (EGIDs), we developed a protocol using Clearing-enhanced 3D (Ce3D) tissue clearing to evaluate mucosal gastrointestinal (GI) nerve remodeling and interactions with ...

Artificial Intelligence in Physical, Occupational and Neuro-Rehabilitation: Clinical Effectiveness, Prognostic Performance, and Pre-Implementation Feasibility - A Systematic Review.

BACKGROUND: Global rehabilitation needs far exceed capacity, and artificial intelligence (AI) is proposed to extend access, personalise therapy, and s...

Digital patient education and its role in overcoming dental anxiety and barriers to endodontic care.

Dental fear and anxiety (DFA) serve as a significant obstacle to oral healthcare, affecting approximately 15% of the adult population. In endodontics,...

Diagnostic accuracy of serum and synovial biomarker thresholds for diagnosing periprosthetic joint infection: a QUADAS-C-guided systematic review and meta-analysis.

BACKGROUND: Periprosthetic joint infection (PJI) remains one of the most serious complications after joint arthroplasty, and accurate diagnosis contin...

Healthy living environments create healthy physical activity-related habits (ELEVATE): A protocol for a smartphone-based mixed-method study.

Physical inactivity remains a key risk factor for adverse public health outcomes, disproportionately burdening lower socioeconomic groups. While indiv...

An Interpretable Deep-Learning Approach for Efficient CEST Parameter Quantification: Importance-Ranked Saturation Transfer MRI Protocol.

PURPOSE: An optimal design of saturation-transfer MR fingerprinting (ST-MRF) sequences is essential to accelerate imaging and improve tissue quantific...

A call for clarity: a unified checklist for reporting use of large language models in writing scientific manuscripts.

The rapid integration of generative artificial intelligence (Gen AI) into academic writing has outpaced the establishment of consistent norms for resp...

Applications of artificial intelligence along the perioperative pathway in metabolic and bariatric surgery.

BACKGROUND: The use of artificial intelligence (AI) has rapidly increased in metabolic and bariatric surgery (MBS) in recent years, necessitating a co...

Nurses' experiences regarding role boundaries in collaborative AI-Assisted nursing: A meta-synthesis.

BACKGROUND: Artificial intelligence (AI) is rapidly integrating into the nursing field, evolving from simple assistive tools to complex applications t...

From decision support to clinical integration: A scoping review of artificial intelligence in prehospital airway management.

BACKGROUND: Airway management is a critical component of prehospital emergency care, where rapid decision-making and procedural accuracy are essential...

How to Train a Shallow Ensemble.

Shallow ensembles provide a convenient strategy for uncertainty quantification in machine-learning interatomic potentials, which is computationally ef...

A Guide to Constructing Indigenous Statistical Spaces for Prevention Science Research.

Artificial intelligence (AI)-powered computational methods, such as machine learning and natural language processing, are increasingly applied in deat...

Economic evaluations of digital health interventions on maternal, newborn and child health in low-income and middle-income countries: a systematic review protocol.

INTRODUCTION: Digital health interventions have emerged as promising solutions to strengthen maternal, newborn and child health (MNCH) systems in low-...

Effectiveness of AI-based conversational and socially assistive agents in older adults: a systematic review and meta-analysis.

BACKGROUND: Depression and loneliness are highly prevalent among older adults, yet access to timely and adequate mental health care remains limited in...

Deep Learning Morphometric Analysis on Protocol Biopsies Predicts Future Graft Function.

INTRODUCTION: The predictive value of Banff classification in protocol transplant biopsies without specific lesions is limited. Morphometry provides p...

Less is more? A hybrid machine learning and psychometric approach to identifying clinically relevant psychopathology in Chinese youth using the Child Behaviour Checklist.

OBJECTIVE: Screening for psychiatric risk in youth at the population level is often constrained by resource limitations and lengthy assessment tools. ...

Ai-generated personalized informed consent for elective spinal surgery: a comparative study using retrieval-augmented generation.

BACKGROUND: Informed consent (IC) documents in spine surgery frequently lack procedure-specific risk data, quantitative complication rates, and discus...

Effects of digital leadership on the attitudes of manager nurses toward AI: A cross-sectional study.

BackgroundDigital technologies are reshaping leadership in nursing, making it essential to understand how digital leadership relates to attitudes towa...

Adaptive multimodal learning for driver cognitive state monitoring using transformer-based fusion with personalized meta-learning and federated optimization.

Road accidents caused by driver fatigue and cognitive overload remain a significant public safety concern. According to recent traffic safety data, dr...