Surgery

YOLO11-based deep learning system for automated tubal patency classification in hysterosalpingography: a comparative study for clinical decision support.

In the United States, around 500,000 hysterosalpingography (HSG) procedures are performed annually. One fluoroscopic procedure that is frequently used to evaluate tubal patency in infertile women is hysterosalpingography. Clinical decision-making depends on the fast and accurate classification of tubal patency results, but this procedure still depends on radiologist skill, which varies greatly acr...

Benchmarking deep learning pipelines for surgical instrument segmentation in endoscopic spine surgery: cross-dataset evaluation under deployment-realistic conditions.

PURPOSE: Automated surgical instrument segmentation is a prerequisite for AI-assisted guidance in endoscopic spine surgery. Deployment-realistic comparisons of foundation-model and conventional deep learning architectures - accounting for the detector dependency of bbox-prompted models - remain lacking. METHODS: Seven deep learning pipelines were evaluated for binary instrument segmentation: U-Net...

Machine learning-based clinical models for prediction of urinary incontinence after robot-assisted laparoscopic radical prostatectomy.

OBJECTIVE: To investigate risk factors for urinary incontinence (UI) after robot-assisted laparoscopic radical prostatectomy (RARP) using interpretabl...

Low-Field Magnetic Resonance Imaging in Critical Care of Stroke.

Neurological deterioration is a frequent and clinically significant challenge in patients with acute stroke admitted to neurocritical care units, wher...

Automated brain MRI protocol adaptation based on imaging findings using AI: diagnostic performance and agreement with neuroradiologists.

BackgroundSelecting optimal brain magnetic resonance imaging (MRI) protocols is a manual, error-prone process, often complicated by incomplete clinica...

A Locally Executable AI System for Improving Preoperative Patient Communication: Multidomain Clinical Evaluation.

BACKGROUND: Patients undergoing invasive procedures frequently experience anxiety and often have unanswered questions regarding the procedure. Althoug...

AI-assisted TURP slide review: a multi-reader study of efficiency, diagnostic performance, and human-AI error patterns.

Transurethral resection of the prostate (TURP) specimens represent a low-prevalence, high-volume diagnostic task in which pathologists must identify r...

Patient-Specific Instrumentation Improves Technical Execution Accuracy After Artificial Intelligence-Assisted Preoperative Planning in Medial Unicompartmental Knee Arthroplasty.

BACKGROUND: Artificial intelligence (AI)-assisted preoperative planning may improve anatomic characterization and implant-size prediction in unicompar...

Integrative Transcriptomic Analysis Identifies a Key Candidate Gene Bridging Inflammation and DNA Repair in Endometriosis.

BACKGROUND: Endometriosis is a chronic, estrogen-dependent inflammatory disorder characterized by the ectopic implantation of endometrial-like tissue....

Advances in predictive factors for pathological complete response after neoadjuvant therapy in locally advanced rectal cancer.

For locally advanced rectal cancer (LARC), neoadjuvant chemoradiotherapy (nCRT) combined with total mesorectal excision has emerged as the standard th...

Association of preoperative monocyte level with postoperative delirium in patients receiving cardiac surgery under propofol-based anesthesia: a retrospective study.

BACKGROUND: Postoperative delirium is a common complication after cardiac surgery, and perioperative inflammation may contribute to its development. H...

FOXC1: A Key Transcription Factor of VSMC-Derived Foam Cell Formation in Atherosclerotic Plaque Instability.

The instability of atherosclerotic plaques, particularly intraplaque hemorrhage (IPH), drives life-threatening cardiovascular events, a process in whi...

The FACT-Score: Development and Temporal Validation of a Clinical Risk Stratification Tool for 30-Day Complications After Operative Facial Fracture Repair.

BACKGROUND: No validated, procedure-specific tool exists for predicting 30-day complications after operative facial fracture repair. This study aimed ...

Development and validation of a LightGBM based machine learning model for predicting postoperative erectile dysfunction after robot assisted radical prostatectomy: a multicenter cohort study.

Postoperative erectile dysfunction remains a highly debilitating complication following robot assisted radical prostatectomy for localized prostate ca...

Global research trends and hotspots in robotic-assisted prostate biopsy: a bibliometric analysis from 2008 to 2026.

Robotic-assisted prostate biopsy is now a key approach for early, accurate prostate cancer detection. The swift expansion and diversification of studi...

Multiscale Spatial Fusion Feature-Driven Characterization of Gastric Cancer Invasive Margins: A Multicenter Cohort Study for Preoperative Accurate Differentiation Between T4a and T4b Subtypes.

Accurate preoperative differentiation of gastric cancer T4a/b stages is crucial for surgical planning and prognosis. However, conventional CT assessme...

Multimodal prediction of metachronous liver metastasis in stage I-III colorectal cancer patients: multicenter cohort study employing machine learning.

OBJECTIVE: Postoperative metachronous liver metastasis (MLM) in colorectal cancer (CRC) patients is often difficult to predict using conventional clin...

Multi-DECT image-based intra- and peritumoral interpretable radiomics and artificial intelligence models for preoperative prediction of pathological grading of non-muscle-invasive bladder cancer.

BACKGROUND: This study aimed to evaluate the predictive model based on multi-dual-energy computed tomography (DECT) imaging parameters and model integ...

Technology-enhanced training in basic robotic surgical skills: a systematic review.

Robotic surgery has seen substantial growth, however training access remains limited by resources and time-intensive credentialling pathways. Technolo...

Mapping the evolution of deep learning and computer vision in robotic surgery: a bibliometric analysis of surgical video intelligence, instrument perception, and clinical translation.

Deep learning and computer vision are increasingly embedded in robotic surgery, yet the development and translational direction of this research domai...