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Patient-Centered Summarization Framework for AI Clinical Summarization: Mixed Methods Study.

BACKGROUND: Large language models (LLMs) are increasingly demonstrating the potential to reach human-level performance in generating clinical summaries from patient-clinician conversations. LLMs are usually evaluated against clinical summaries that focus mainly on patients' biology and not on their biography (eg, preferences, values, wishes, and concerns). To achieve patient-centered care, artific...

The Challenges of Predicting Rare Outcomes: A Critical Appraisal of Machine Learning Using the Pediatric Resuscitation and Trauma Outcome (PRESTO) Model in a Tanzanian Injury Registry.

BACKGROUND: Injuries are responsible for 950,000 deaths per year among children and adolescents under 18 years old. Trauma prediction scores are useful in determining severity and prognosis of injury patients. The pediatric resuscitation and trauma outcome (PRESTO) score was developed as a simple score for short-term mortality prediction in pediatric populations in low- and middle-income countries...

Post-traumatic Psychopathology and Cardiovascular Risk: A Danish Case-Control Study of Sex-Specific Associations.

BACKGROUND: There is increasing recognition that trauma exposure and related psychiatric consequences predict cardiovascular disease risk. However, mo...

Embodied artificial intelligence in robotic orthopaedic surgery: from intelligent assistance to adaptive surgical autonomy.

Despite remarkable advances in robotic orthopaedic surgery over the past three decades, current commercial platforms remain precision-assistance techn...

Evolution of Scientific Trends in Oral and Maxillofacial Surgery in the Last Decade.

BACKGROUND: Oral and maxillofacial surgery (OMFS) has undergone rapid scientific evolution over the past decade, driven by technological innovation an...

Spatial synaptic pruning mechanism of NAC microglia in differential regulation of PTSD- and depression-like behaviors.

BACKGROUND AND AIMS: Post-traumatic stress disorder (PTSD) comorbid with depression is a prevalent, treatment-refractory clinical syndrome. Emerging e...

Plasma Desmoplakin as a Novel Biomarker for Early-Onset Susceptibility and Prognostic Stratification in Young Intracerebral Hemorrhage.

OBJECTIVE: This study aimed to identify plasma protein biomarkers associated with the presence and prognosis of intracerebral hemorrhage (ICH) in youn...

Artificial Intelligence Chatbots and Large Language Models for Traumatic Dental Injury Management and Decision Support: A Systematic Review With Function-Based Narrative Synthesis and Exploratory Meta-Analysis.

Traumatic dental injuries require rapid, accurate, and context-sensitive decisions, particularly during emergencies such as tooth avulsion, luxation i...

Quantitative decoupling of source-pathway-receptor driving mechanisms for integrated soil risk via interpretable machine learning.

Most existing concentration-based risk assessments of potentially toxic elements (PTEs) in farmland soils tend to overlook source-specific transport p...

[Development and validation of an explainable machine learning-based model for predicting mortality risk in polytrauma patients].

Polytrauma is commonly defined as multisystem trauma involving at least two body regions with an Abbreviated Injury Scale (AIS) score ≥ 3, characteriz...

Unpacking posttraumatic growth: Identifying predictors in trauma-affected individuals using machine learning.

OBJECTIVE: Emotion regulation influences psychological responses to trauma, with event-related rumination affecting the development of posttraumatic s...

AI-based disease severity grading predicts complications in laparoscopic appendectomy.

BACKGROUND: Appendicitis severity underpins contemporary management guidelines, where laparoscopic appendectomy remains gold standard. Preoperative me...

Development and Internal Evaluation of a Deep Learning Model for Fine-Grained Detection of Dental Trauma on CBCT-Dominant Image Records.

OBJECTIVES: To develop and internally evaluate a YOLO-based model for fine-grained localization and classification of dental trauma subtypes. METHODS:...

Autonomous Vascular Access Devices: Current Solutions and Future Challenges.

INTRODUCTION: Central venous cannulation is essential for life-saving interventions including resuscitation of critically ill patients, hemodynamic mo...

Are large language models such as ChatGPT, capable of supporting patients and general practitioners after spine surgery?

PURPOSE: To evaluate whether large language models (LLMs) can provide accurate, complete, and audience-adapted answers to common spine-surgery-related...

Evaluating the age of rib fractures through 99mTc-MDP SPECT strategy based on a machine learning algorithm: a preliminary study.

Rib fractures are among the most common injuries in traffic accidents. Accurate evaluation of rib fracture age is important as it assists forensic exp...

Disseminating brief video-based mental health interventions on Instagram: Reach, engagement, and real-world implementation.

OBJECTIVE: Childhood trauma (CT) profoundly impacts mental health. Negative attitudes and stigma surrounding mental health and trauma often deter surv...

Assessing Different Machine Learning Algorithms to Identify Traumatic Cardiac Arrest.

OBJECTIVE: Traumatic cardiac arrest differs from non-traumatic regarding epidemiology. This study evaluated five machine learning classifiers' ability...

Predicting Prehospital Blood Transfusion After Motor Vehicle Trauma.

OBJECTIVES: Prehospital blood transfusion (PHBT) improves outcomes among patients with traumatic hemorrhagic shock, yet the epidemiology and geographi...

Study protocol of the Speech of children After Neonatal Encephalopathy (SANE): a single-centre prospective cohort study.

INTRODUCTION: Language development is a key determinant of academic achievement and psychosocial outcome. Due to the therapeutic hypothermia procedure...