Surgery

Cellulose Nanocrystal-Based Robotic Devices for Encrypted Information Transmission.

Degree of circular polarization (DOCP) of reflected light is an intriguing optical phenomenon of chiral photonic materials; however, it remains underexploited. This is especially the case with cellulose nanocrystals (CNCs), despite the fact that their angle-dependent structural color has been overwhelmingly attended to. Herein, CNC-based chiral photonic materials capable of dual actuation are cons...

Artificial Intelligence in Craniosynostosis Surgery: A Comparison of Large Language Models in Answering Perioperative Care Questions.

BACKGROUND: Craniosynostosis surgery poses complex challenges for caregivers. Often, they utilize large language models (LLMs) for preoperative and postoperative information. Although LLMs offer accessible guidance, persistent concerns center on their information quality and readability, especially in specialized surgical contexts. METHODS: This study evaluates the readability and quality of respo...

Is the Google Artificial Intelligence Overview Accurate for Current Procedural Terminology Coding in Hand Surgical Procedures?

PURPOSE: As the Google Artificial Intelligence (AI) Overview function becomes engrained in the search engine, it is important to understand the accura...

Assessing Health Care Professionals' Perceptions of a New System in Clinical Workflows: Systems Engineering Initiative for Patient Safety-Based Consensual Qualitative Research.

BACKGROUND: Artificial intelligence (AI)-enabled clinical decision support systems (CDSSs) are increasingly embedded within electronic health record (...

Smart scheduling of arthroplasty surgery with machine learning and optimisation improves operating room utilisation.

OBJECTIVES: Total hip and knee arthroplasty (THA and TKA, respectively) are effective procedures but are costly and resource intensive. As such, sched...

Full-Endoscopic Spine Surgery for Adjacent Segment Disease Using Artificial Intelligence-Assisted 3-Dimensional MRI/CT Fusion Imaging: A Case Report.

CASE: An 82-year-old woman presented with right medial thigh pain. Her medical history included multiple lumbar decompression and fusion surgeries. Sh...

The application of artificial intelligence in blind ultrasound sweep diagnostics for prenatal medicine: A systematic literature review.

INTRODUCTION: Obstetric ultrasound is fundamental in prenatal care for gestational age (GA) estimation, fetal monitoring, and complication screening. ...

Machine Learning Prediction of Incomplete Hysteroscopic Myomectomy Using Preoperative Clinical and Imaging Variables.

STUDY OBJECTIVE: To develop and validate a machine-learning (ML) model using preoperative clinical and imaging variables including ultrasound and diag...

Multimodal AI for automated resuscitation debriefing: Feasibility of timeline reconstruction using commercially available tools.

WHAT WAS THE EDUCATIONAL CHALLENGE?: Resuscitation debriefing requires accurate timeline reconstruction for effective team learning. Standard document...

Machine learning-enabled prediction of hemorrhagic transformation post-thrombectomy using quantitative DSA.

This study aims to construct a predictive model for post-thrombectomy hemorrhagic transformation (HT) by integrating hemodynamic features derived from...

Generative Artificial Intelligence-Enabled Saliency Analysis of Eye Tracking in Cerebral/Cortical Visual Impairment (SET-CVI).

PURPOSE: Children with cerebral/cortical visual impairment (CVI) have neurological conditions that impact visual pathways in the brain, leading to def...

Real-Time Characterization of Colonic Polyps: A Multicenter Prospective Study Evaluating the CAD-EYE System in Screening Colonoscopies.

BACKGROUND AND STUDY AIMS: Polypectomy-related costs could potentially be reduced through optical diagnosis strategies, such as 'diagnose-and-leave' a...

[Artificial intelligence in spinal surgery: current applications and future perspectives].

BACKGROUND: Spinal surgery is a highly complex field increasingly shaped by digital innovation. Artificial intelligence (AI) and machine learning (ML)...

STF: A Unified Framework for Joint Pixel-Level Segmentation and Tracking of Tissues in Endoscopic Surgery.

Endoscopic minimally invasive surgery relies on precise tissue video segmentation to avoid complications such as vascular bleeding or nerve injury. Ho...

Quantitative assessment of neonatal health using dried blood spot metabolite profiles and deep learning.

Neonatal prematurity leads to considerable morbidity and mortality, partly because of acquired conditions such as bronchopulmonary dysplasia (BPD), in...

Proteomic profiling of single extracellular vesicles as a promising new approach for the diagnosis and treatment modality of advanced ovarian cancer.

This study utilized a novel Proximity Barcoding Assay to perform high-resolution proteomic profiling of individual plasma extracellular vesicles from ...

Hemorrhage Segmentation in Fundus Images Using the U-Net 3+ Model: Performance Comparison Across Retinal Regions.

Diabetic retinopathy (DR) is one of the most common complications of diabetes, and timely detection of retinal hemorrhages is essential for preventing...

A Causal and interpretable machine learning framework for postcranioplasty risk prediction and surgical decision support.

Cranioplasty is associated with a substantial burden of postoperative complications. In this multicenter study, we developed a machine learning-based ...

CT-based Prediction of Visceral Pleural Invasion in Lung Adenocarcinoma ≤ 3 cm: Enhancing Deep Learning Specificity by Waiving Chest Wall Information.

BACKGROUND: Accurate preoperative prediction of visceral pleural invasion (VPI) in lung adenocarcinoma is essential for guiding surgical decision-maki...

Multidisciplinary artificial intelligence systems versus single-model approaches for the diagnosis and management of ileus and volvulus.

BACKGROUND AND AIMS: The accurate and timely diagnosis of ileus versus volvulus is essential in emergency care, as treatment choices directly influenc...