Surgery

Automated Classification of Alveolar Bone Defects for Preoperative Augmentation Planning Using Deep Learning.

OBJECTIVES: Determining alveolar bone deficiencies prior to dental implant surgeries is critical for surgical planning. This study aimed to develop a deep learning-based framework that can automatically detect and classify alveolar ridge deficiencies (healthy, horizontal, vertical, and combined defects) using Cone Beam Computed Tomography (CBCT) slices and to evaluate the diagnostic performance of...

Artificial Intelligence in Trauma Care: A Systematic Review of Resuscitation, Diagnosis, Risk Prediction, and Management.

BACKGROUND: Artificial intelligence (AI) is increasingly being explored in trauma care as a tool to support clinical decision-making. OBJECTIVE: To evaluate current evidence on AI applications in trauma resuscitation, diagnosis, complication prediction, and patient management. METHODS: A systematic review was conducted using PubMed, Web of Science, ScienceDirect, and Cochrane databases to identify...

Clustering by patients-related characteristics identifies specific phenotypes with different prognosis after resection of non-small cell lung cancer: a French nationwide study from the Epithor database.

INTRODUCTION: Lung cancer remains the leading cause of cancer mortality worldwide despite advances in treatment. Patient-related factors beyond tumour...

Preoperative frailty for predicting in-hospital mortality in patients after cardiac surgery: an interpretable Machine learning model based on a retrospective multicenter cohort study.

BACKGROUND AND OBJECTIVE: Accurate prediction of mortality risk after cardiac surgery is crucial for perioperative management. The laboratory-based fr...

Machine Learning Using Preoperative Patient Factors Can Predict the Severity of Pain Following Primary Total Hip Arthroplasty.

BACKGROUND: Persistent postoperative pain is a challenge in total hip arthroplasty (THA), yet a lack of accurate predictive tools exists for this outc...

The Assessment of Coronal Plane Lower-Limb Alignment on Pre- and Postoperative Long-Leg Radiographs Using Deep Learning.

INTRODUCTION: Coronal plane lower-limb alignment, defined by metrics including the hip-knee-ankle angle (HKAA), lateral distal femoral angle (LDFA), a...

AI-Driven Three-Dimensional Movement Analysis for Objective Assessment of Surgical Expertise in Suturing.

OBJECTIVE: To develop a non-intrusive framework for objective assessment of suturing skill through movement analysis of bilateral hand movements lever...

Diagnostic Accuracy of Ultrasound Radiomics for Cervical Lymph-Node Metastasis in Papillary Thyroid Carcinoma: Evidence Predominantly From Chinese Cohorts.

Pre-operative identification of cervical lymph-node metastasis (LNM) guides surgical extent in papillary thyroid carcinoma (PTC) but remains imperfect...

Explainable machine learning model for predicting functional outcomes in posterior circulation stroke after thrombectomy.

BACKGROUND: The early prediction of functional outcomes in patients with posterior circulation stroke (PCS) is crucial for timely interventions and op...

Association of initial core volume on non-contrast CT using a deep learning algorithm with clinical outcomes in acute ischemic stroke: a potential tool for selection and prognosis?

BACKGROUND: In an extended time window, contrast-based neuroimaging is valuable for treatment selection or prognosis in patients with stroke undergoin...

Cardiopulmonary exercise testing before lung resection surgery: still indicated? Evaluating predictive utility using machine learning.

RATIONALE: Despite significant advances in patient care and outcomes, criteria for cardiopulmonary exercise testing (CPET) in risk stratification guid...

Role of artificial intelligence in head and neck surgery - A narrative review.

The advent of artificial intelligence (AI) in the field of head and neck surgery has remarkably impacted in various domains, including investigation, ...

Indocyanine green fluorescence for intraoperative detection of liver tumours in minimally invasive surgery: protocol for the LIVERGREEN phase IV multicentre clinical trial.

INTRODUCTION: Liver tumours are a leading cause of global morbidity and mortality. Current diagnostic tools, including computed tomography (CT), magne...

A vision-language foundation model improves preoperative diagnosis of follicular thyroid neoplasms using ultrasound images.

Preoperative discrimination between follicular thyroid carcinoma (FTC) and follicular thyroid adenoma (FTA) remains challenging, as imaging and cytolo...

Enhanced cortical connectivity during passive robotic-assisted gait training in individuals with spinal cord injury: An EEG study.

BACKGROUND: Robotic-assisted gait training (RAGT) has emerged as a promising strategy to promote neuroplasticity and motor recovery in individuals wit...

The predictive value of serological markers for successful weaning and 30-day mortality in patients with severe intracerebral hemorrhage.

AIM: This study intends to screen serological indicators related to weaning outcomes and 30-day mortality in severe intracerebral hemorrhage (ICH) pat...

Are surgical nurses ready for artificial intelligence? Attitudes toward artificial intelligence technologies in surgical units.

AIM: This study aimed to investigate the attitudes of surgical unit nurses towards the use of artificial intelligence (AI) technologies in nursing. ME...

Evaluating Large-Language Models Against Providers on Surgical Diagnostic Reasoning Tasks.

INTRODUCTION: Large language models (LLMs) have shown efficacy in surgery-related tasks such as literature screening and performing well on-board exam...

Classification and stratification of patient pain archetypes following total knee arthroplasty: a machine learning approach.

BACKGROUND: Up to 20% of total knee arthroplasty (TKA) patients experience significant postoperative pain that delays recovery and increases risk of c...

Update on pleural mesothelioma.

PURPOSE OF REVIEW: Pleural mesothelioma remains a universally lethal cancer with a rising global burden. This underscores the need for pulmonologists ...