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Deep-learning CT reconstruction improves image quality but not diagnostic accuracy for sacral fragility fractures: MRI remains essential.

PURPOSE: To determine whether modern deep-learning CT reconstruction improves trauma-relevant diagnostic performance for sacral fragility fractures (SFF) and whether optimized CT can reduce the need for MRI in routine clinical practice. METHODS: In this retrospective paired-reader study, 171 pelvic CT examinations with corresponding MRI (reference standard) were analyzed (fracture prevalence 63.2%...

Machine learning-based prediction of hospital-associated complications after tibial fracture surgery in older patients: a nationwide Japanese database study.

BACKGROUND: Older adults requiring emergency surgery for acute tibial fractures are vulnerable to hospital-associated complications (HACs), but admission-time risk stratification tools are lacking. We aimed to characterize HACs and develop both an ensemble prediction model and a simplified bedside risk score. METHODS: This retrospective cohort study used the Japanese Diagnosis Procedure Combinatio...

The Rise of AI Companions: From Prediction to Surgery in the Digital Twin Era.

Artificial intelligence (AI) is rapidly reshaping orthopaedic surgery, supported by advances in data science, computational power, and perioperative d...

Bouncing back from stress: objective markers of expressive flexibility and resilience in emergency healthcare workers using computer vision.

Healthcare workers (HCWs) in emergency departments face significant mental health risk due to chronic stressors and repeated trauma, yet symptom under...

Radiographers' accuracy in interpreting acute musculoskeletal X-rays when supported by artificial intelligence - A multi-site cross-sectional study.

INTRODUCTION: The artificial intelligence (AI) tool BoneView™ has been introduced into clinical practice to support skeletal X-ray interpretation. Thi...

AI-based organ weight estimation from postmortem computed tomography.

Accurate organ weight determination is essential in forensic autopsy. Postmortem computed tomography (CT) combined with Artificial Intelligence (AI)-b...

Unraveling the complexity of the oilseed rape genome: from sequencing to gene discovery for trait improvement.

Oilseed rape (Brassica napus) serves as a cornerstone of global vegetable oil production, yet its genetic improvement has historically been impeded by...

Unraveling Bone-Skin Crosstalk Enables miRNA Nanoformulation for Cutaneous Neurovascular Reconstruction in Diabetic Mice.

The clinical intractability of diabetic foot ulcers stems from a profound uncoupling of cutaneous neurovascular networks, rendering standard metabolic...

Non-destructive prediction of lead content in oilseed rape leaves by fluorescence hyperspectral technology based on neural network.

Based on fluorescence hyperspectral imaging (FHSI), this study targeted rapid, non-destructive quantification of lead (Pb) content in oilseed rape lea...

Radiomics-based machine learning for splenic injury diagnosis using computed tomography (CT) images.

Efficient trauma assessment is essential for optimal patient care, with imaging playing a critical role in the detection of injuries. Rapid and accura...

Fully automated AI-based digital workflow for orbital fracture mirroring: A multicenter approach.

Orbital reconstruction after trauma or pathology requires precise restoration of anatomical symmetry to prevent functional and aesthetic impairment. A...

Artificial intelligence advancements for orthopaedic clinical reasoning: longitudinal assessment of newer models (ChatGPT-5, Grok-3, Gemini 2.5 Flash) compared to clinicians.

INTRODUCTION: This descriptive study aimed to longitudinally evaluate the performance of contemporary large language models - ChatGPT-5, Gemini 2.5 Fl...

Comparative Efficacy of Trained Versus Untrained Generative Artificial Intelligence Platforms in Providing Case-Based Multiple-Choice Questions on Traumatic Dental Injuries in the Pediatric Dentistry Curriculum: A Cross-Sectional Study.

BACKGROUND/AIM: To determine the comparative efficacy of trained versus untrained generative artificial intelligence platforms in providing multiple-c...

Accelerated brain aging in Veterans with posttraumatic stress symptoms and mild traumatic brain injury.

Exposure to trauma and mild traumatic brain injury (mTBI), which often co-occur and can both trigger acute and chronic pathophysiological processes, h...

ML-based electromyography signal analysis for assessing rehabilitation exercise execution quality.

Following lower limb trauma, performing orthopaedic rehabilitation exercises is a crucial factor in successful recovery. However, many patients find i...

TRUST: an large language model-based dialogue system for trauma understanding and structured assessments.

OBJECTIVES: While large language models (LLMs) have been widely used to assist clinicians and support patients, no existing work has explored dialogue...

Comparing the Efficacy Between ChatGPT 5, Grok 3, and Claude 4.5 Sonnet in Analyzing Orthopedic Trauma-Related Imaging.

OBJECTIVES: To evaluate and compare the ability of three popular open-source artificial intelligence platforms to diagnose common trauma-related fract...

High Adoption, Higher Expectations: A Cross-Sectional Survey of Radiologist Engagement with Artificial Intelligence in the United Arab Emirates.

Artificial intelligence (AI) is poised to transform diagnostic radiology, yet data on its adoption and the perspectives of radiologists in the Middle ...

Can artificial intelligence applications be utilised in the management of dental trauma? A comparison of ChatGPT, Gemini, and DeepSeek.

BACKGROUND: This study aimed to evaluate the accuracy and reliability of the responses provided by the artificial intelligence applications (chatbots)...

Analysis of Accuracy and Response Stability of Artificial Intelligence Models in Answering Diagnostic, Therapeutic and Prognostic Questions on Dental Trauma.

This study comparatively evaluated accuracy and response stability of artificial intelligence (AI)-models in answering diagnostic, therapeutic and pro...