Surgery

Comparative Evaluation of Robotic and Manual Bending of Clasps for Removable Partial Dentures.

INTRODUCTION AND AIMS: Conventional removable partial denture (RPD) clasp fabrication with wrought w...

SMC-LUD:Large-Scale B-Mode Liver Ultrasound Dataset for Hepatocellular Carcinoma and Hemangioma Classification.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality globally, and accurate...

Validation of the Eyerobo FC Portable Fundus Camera for Diabetic Retinopathy Screening Using Public Datasets and Deep Learning.

INTRODUCTION: To validate the diagnostic performance of the Eyerobo FC, a new portable non-mydriatic...

Pinostrobin attenuates microglia-mediated neuroinflammation after subarachnoid hemorrhage through modulation of the MYC-CTSL signaling axis.

Subarachnoid hemorrhage (SAH) is a life-threatening neurological emergency associated with high mort...

Implementation and learning curve in AI-assisted fluid management during abdominal oncologic surgery: a retrospective observational study.

BACKGROUND: Intraoperative fluid management during major abdominal oncologic surgery is complex and ...

Non-Neural Post-Thyroidectomy Dysphonia: Long-Term Voice Outcomes in 527 Patients.

OBJECTIVE: To characterize non-neural post-thyroidectomy dysphonia (PTD) by analyzing long-term voic...

Latent Supervision: A Method for Improved Performance and Calibration of Machine Learning Classification Models in Ophthalmology.

PURPOSE: Standard supervised learning assumes deterministic labels (e.g., positive or negative, pres...

Which matters more for preventing knee replacements: reducing overactivity or combating inactivity?

BACKGROUND: Daily physical activity (PA) has been gaining attention for the management and preventio...

Intratumoral and peritumoral radiomics-based machine learning models for the postoperative survival prediction in esophageal squamous cell carcinoma.

OBJECTIVES: This study aimed to develop and validate machine learning (ML) models to predict surviva...

Multimodal deep learning for objective skill assessment in robot-assisted vesico-urethral anastomosis.

Contralateral language network integration predicts and protects against naming decline after temporal lobe resection.

OBJECTIVE: Anterior temporal lobe resection (ATLR) is an effective treatment for drug-resistant temp...

Cross-Platform Proteomics and Machine Learning Algorithms Nominate Plasma Biomarkers of Stroke Diagnosis.

BACKGROUND: Blood-based biomarkers for stroke subtyping could improve triage in emergency settings. ...

Generative Artificial Intelligence for Postoperative Parameters Prediction in Implantable Collamer Lens Surgery.

PURPOSE: To predict multiple postoperative parameters following implantable collamer lens (ICL) surg...

Clinical Impact of Postrecanalization Hemorrhagic Transformation and Its Prediction Using Baseline Noncontrast CT.

BACKGROUND: Hemorrhagic transformation (HT) after recanalization therapy remains a critical concern ...

From innovation to implementation: Addressing the AI adoption gap in cardiac surgery.

BACKGROUND: While artificial intelligence (AI) is advancing rapidly across cardiovascular medicine, ...

OSCAR: A Modular Open-Source Robotic Platform for Biological Laboratories.

Biological research often involves complex, repetitive, and high-throughput manipulations that are w...

Real-Time Peripheral Revascularization Planning in Chronic Limb Threatening Ischemia Using HarVI: A Digital Twin Approach.

BACKGROUND: Peripheral artery disease (PAD) is a leading cause of limb loss and morbidity worldwide,...

Multiphase CT-based deep learning radiomics nomogram models for preoperative WHO/ISUP grading of clear cell renal cell carcinoma: a two-center validation study.

BACKGROUND: Preoperative determination of clear cell renal cell carcinoma (ccRCC) World Health Organ...

Effect of a Computer-Aided Device for Detecting Gastric Neoplasms: A Multicenter, Randomized Controlled Trial.

BACKGROUND & AIMS: Evidence about the effect of artificial intelligence (AI) on upper endoscopy in m...

Applications of artificial intelligence algorithms in ultrasound-based kidney stone detection, classification, prediction, and management: a systematic review.

BACKGROUND: Kidney stones are a prevalent urological condition with significant global burden, often...

Artificial intelligence and robotics in global neurosurgery: A scoping review.

OBJECTIVE: Artificial intelligence (AI) and robotics are transforming neurosurgical care; however, t...