Surgery

Development and validation of a machine learning-based postoperative staging system for hilar cholangiocarcinoma: a retrospective single-center cohort study.

BACKGROUND: Hilar cholangiocarcinoma (HCCA) is a malignant tumor at the hepatic hilum with poor prognosis and survival despite surgical resection. While existing staging systems, including AJCC, Gazzaniga T, MSKCC and Blumgart, provide prognostic frameworks, their predictive accuracy remains suboptimal. This study aimed to develop and validate a novel machine learning-based postoperative staging s...

The Value of a Predictive Model Based on Multimodal Ultrasound Imaging Biomarkers Combined with Clinical Features in the Diagnosis of Thyroid Nodules.

INTRODUCTION: This study aimed to develop and validate diagnostic models for distinguishing benign and malignant thyroid nodules. METHODS: Between January 2020 and June 2024, 735 patients were retrospectively selected for surgery or needle biopsy at our hospital. This cohort was divided into a training cohort (n=514) and a validation cohort (n=221) in a ratio of 7:3. All models were validated 10 t...

Bees in clutter: observing flight strategies to inspire visually guided autonomous navigation.

Insects have long served as inspiration for robotic systems for various applications. Among them, bees have emerged as promising models for the discov...

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...

Machine learning vs. traditional methods for predicting postoperative cardiac complications after non-cardiac surgery: a systematic review and Bayesian network meta-analysis.

INTRODUCTION: Accurate prediction of peri-operative cardiac complications is critical to optimise pre-operative decision-making. Traditional risk pred...

Predicting persistent pain after total knee arthroplasty using different machine learning algorithms.

BACKGROUND AND PURPOSE:  After total knee arthroplasty (TKA), 10-20% of patients remain unsatisfied. Well-performing clinical prediction models can pr...

Age-related metabolomic signatures and stroke susceptibility in a population-based cohort.

Aging-related metabolic dysregulation and vascular vulnerability contribute substantially to stroke susceptibility, yet subtype-specific metabolic sig...

AAPM Consensus Guidelines on Neuromodulation Technologies and Neurocomputer Interfaces for Pain Management and Functional Recovery.

OBJECTIVE: To provide an evidence-based framework for healthcare professionals to use neuromodulation technologies to restore neuromuscular function a...

Predicting Renal Tumor Pathology from Intraoperative Gross Appearance: An AI-Based Pilot Study.

OBJECTIVE: To evaluate the feasibility of using convolutional neural networks (CNNs) and vision transformers (ViTs) to predict renal tumor pathology i...

Protocol for assessment of pain biomarkers in orthopaedic patients undergoing total knee arthroplasty in a tertiary care hospital and neuroimmunopharmacology laboratory in South Australia: a cross-sectional matched-subject observational study.

INTRODUCTION: Knee osteoarthritis is a leading cause of pain and disability and frequently results in total knee arthroplasty (TKA). Decisions about s...

A self-orchestrating physics-discovering neural architecture for adaptive and fault-resilient robotic motion control via RPA and digital twins.

To autonomously control a robot's movement in complex and unpredictable environments, adaptive models must be developed that can continuously learn ab...

Predictors of same-day discharge following bariatric surgery using machine learning.

BACKGROUND: Same-day discharge (SDD) following bariatric surgery is becoming increasingly more common to reduce healthcare utilization. However, predi...

Deep learning for intraoperative recognition of critical structures in total hysterectomy.

BACKGROUND: This study aimed to develop and evaluate a deep learning-based surgical navigation system capable of recognizing the ureter, uterine arter...

Automated Assessment of Surgical Quality in Distal Gastrectomy: Development of a Novel Computer Vision Model Based on the Critical View of Quality (CVQ).

OBJECTIVE: To evaluate the clinical validity of the critical view of quality (CVQ) as a measure of lymphadenectomy quality in minimally invasive dista...

Emerging robotic platforms in urologic surgery: a bibliometric and visualization analysis of global trends and research hotspots.

Robot-assisted surgery has become an important component of modern urologic practice, and the emergence of alternative robotic platforms has accelerat...

Global Research Trends and Thematic Evolution in Robotic Surgery for Obstructive Sleep Apnoea: A Bibliometric and Visualisation Study.

To systematically identify research trends, collaborative patterns, thematic developments and emerging areas of interest in the field of robotic surge...

An interpretable machine learning model for predicting postoperative hypotension in type 2 diabetes mellitus undergoing non‑cardiac surgery.

BACKGROUND: Postoperative hypotension (POH) is a common and serious complication in patients with type 2 diabetes mellitus (T2DM) undergoing non‑cardi...

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...

Precision neuroprotection in cardiac surgery: a structured narrative review of multimodal, data-driven perioperative care.

Neurological injury remains a major contributor to morbidity, mortality, and long-term cognitive decline in patients undergoing cardiac surgery, despi...

Beyond surgical risk: Multidimensional predictors of postoperative arm morbidity after breast cancer treatment.

BACKGROUND: Postoperative upper-limb morbidity following breast cancer treatment is common and clinically significant, encompassing pain, functional i...