Surgery

Multi-component radiological model based on intratumoral CT threshold segmentation for predicting visceral pleural invasion in lung adenocarcinoma ≤ 30 mm.

OBJECTIVES: This retrospective study aims to investigate the value of intratumoral computed tomography (CT) threshold segmentation in radiomics, deep learning (DL), and radiomics-DL combined models for predicting visceral pleural invasion (VPI) in lung adenocarcinoma (LUAD) ≤ 30 mm. MATERIALS AND METHODS: Patients with invasive LUAD who underwent surgery and had preoperative thin-slice CT scans wi...

Patients' perceptions of ethical issues in semi-autonomous robot-assisted surgery.

BACKGROUND: Artificial intelligence enables surgical robots to perform certain actions without surgeon control or semi-autonomously. Patient willingness to undergo surgery via an automated machine is a key barrier to adoption of emerging robotic technology. Further, semi-autonomous surgical robots raise numerous ethical concerns, yet little is known about patients' perceptions of these issues. We ...

Preoperative artificial intelligence-based risk model for surgical reintervention after microsurgical free flap reconstruction.

BACKGROUND: Flap-related vascular complications requiring surgical reintervention remain a source of morbidity after microsurgical free flap reconstru...

Portal vein resection in pancreatic cancer: from technical feasibility to biological patient selection.

INTRODUCTION: Portal vein resection (PVR) has become an established component of pancreatic cancer surgery for selected patients with portal vein-supe...

Large-Scale Plasma Proteomics Profiles for Predicting Atrial Fibrillation Associated Stroke Risk : Type of manuscript: Original Research.

BACKGROUND: Stroke is a major complication of atrial fibrillation (AF), and risk prediction using the congestive heart failure, hypertension, age, dia...

Intraoperative spectral imaging versus ICG fluorescence for gastric conduit viability in esophagectomy.

BACKGROUND: Anastomotic leakage remains a critical complication following esophagectomy, occurring in 8-20% of patients. While indocyanine green fluor...

Predicting KRT or Death in Critically Ill Patients with Rhabdomyolysis Using Machine Learning: A Multicenter Study.

BACKGROUND: Rhabdomyolysis is associated with outcomes ranging from muscle injury to AKI, KRT, and death. Early identification of patients at highest ...

Identifying treatment-responsive patient subgroups in a neutral clinical trial of Intensive blood pressure reduction in acute intracerebral hemorrhage: A post hoc explainable machine learning analysis.

The Antihypertensive Treatment of Acute Cerebral Hemorrhage (ATACH-2) trial reported no overall benefit from intensive blood pressure (BP) reduction i...

Liquid Biopsy Cell-free RNA-based Machine Learning Enables Preoperative Risk-Stratification of Uterine Leiomyosarcoma.

BACKGROUND: Accurate preoperative distinction between uterine leiomyoma (UM) and uterine leiomyosarcoma (UMS) remains a major clinical challenge. Misc...

Development and Internal Validation of an Automated CT-Based Model for Early Mortality Prediction in Traumatic Brain Injury.

OBJECTIVE: Traumatic brain injury outcomes are strongly influenced by intracranial hemorrhage burden, midline shift, and secondary hypoxic injury. Alt...

Early prediction of anastomotic leakage within 24 h after minimally invasive colorectal cancer surgery using postoperative inflammatory markers: development and temporal validation of a machine learning model.

PURPOSE: Early identification of anastomotic leakage (AL) is critical for safe discharge within enhanced recovery pathways. This study developed and p...

[Translated article] Protocol for the development and validation of a questionnaire to evaluate user-robot interaction in the compounding of hazardous drugs in a hospital setting.

INTRODUCTION: The automation of hazardous drug preparation in hospitals using robotic systems is an effective strategy to enhance safety, quality, and...

Weightbearing CT Evaluation of Contact and Distance Mapping of the First Tarsometatarsal and Metatarsophalangeal Joints Following MIS Hallux Valgus Correction.

BackgroundThree-dimensional distance and coverage mapping (DM and CM) generated through weightbearing CT (WBCT) can aid in understanding the complex a...

Multilingual Voice AI for Postoperative Cataract Follow-Up in Turkish Speaking Patients in the United Kingdom: Patient and Public Involvement Focus Group Study.

BACKGROUND: Conversational voice AI assistants can automate postoperative follow-up calls in high-volume, low-complexity pathways such as cataract sur...

Using artificial intelligence to predict health-related quality of life for adolescent idiopathic scoliosis.

PURPOSE: Adolescent idiopathic scoliosis (AIS) has a large impact on health-related quality of life (HRQoL) including poor psychosocial functioning, b...

AI Risk Prediction Tools for Autologous Breast Reconstruction.

BACKGROUND: Autologous breast reconstruction offers patients a durable and natural-appearing option after mastectomy. However, complication risks incl...

Effect of cataracts on systemic factor prediction from fundus images.

OBJECTIVE: To evaluate the effect of cataracts on systemic factor predictions from fundus images by comparing predictive values before and after catar...

Reliability and readability of AI chatbot responses to patient questions about robot-assisted radical cystectomy.

Robot-assisted radical cystectomy (RARC) is a complex procedure that requires patients to understand surgical indications, urinary diversion, perioper...

Toward ubiquitous surgical assistance services via private 5G infrastructure.

PURPOSE: Advanced data processing methods, including artificial intelligence (AI), are increasingly integrated into clinical practice, improving treat...

Deep learning approaches for predicting response to neoadjuvant chemotherapy in muscle invasive bladder cancer: A systematic review.

Neoadjuvant chemotherapy (NAC) followed by radical cystectomy is the standard of care for muscle-invasive bladder cancer (MIBC), yet treatment respons...