Surgery

AI-driven prediction of completion time and errors in the Advanced Training in Laparoscopic Suturing (ATLAS) needle handling task: One step closer to automated surgical skill assessment.

BACKGROUND: The Advanced Training in Laparoscopic Suturing is a proficiency-based curriculum of 6 structured tasks. In the needle handling task, participants maneuver a needle through 6 standardized holes on a circular platform. Performance (completion time and errors) is currently evaluated in person or through manual video review. This study explored the potential of artificial intelligence mode...

Prospective validation and real-time implementation of an automated machine learning postoperative mortality prediction model.

BACKGROUND: Machine learning prediction models require prospective validation to ensure implementation fidelity and feasibility. Our primary objective was to prospectively validate a previously reported postoperative mortality prediction model in inpatients undergoing surgery. Our secondary objective was to evaluate feasibility of a pilot clinical decision support tool. METHODS: We prospectively v...

Rebuilding the pelvis: advances in robotic-assisted management of complex pelvic fractures.

Complex pelvic fractures are infamously challenging to fix surgically because of their fine anatomy and proximity to vital neurovascular structures. T...

Comparative analysis of machine learning algorithms for predicting stereotactic coordinates of the centromedian nucleus.

OBJECTIVE: Deep brain stimulation (DBS) of the centromedian nucleus (CM) of the thalamus is a promising treatment for drug-resistant epilepsy, Tourett...

Development of a machine learning model to predict intensive care unit bed demand for adult elective surgical patients at a large United Kingdom National Health Service Trust.

BACKGROUND: Elective surgical admissions form a growing share of demand for ICU beds, a constrained resource. Capacity planning for these admissions i...

Multisequence MRI Enables High-Fidelity FDG-PET Synthesis for Epilepsy Using GANs.

BACKGROUND: FDG-PET aids presurgical epilepsy evaluation but is limited by access and radiation exposure. PURPOSE: To evaluate synthetic FDG-PET gener...

Ethical and Regulatory Considerations for Artificial Intelligence Adoption in Craniofacial Surgery.

Artificial intelligence (AI) continues to enhance surgical care, with growing applications in craniofacial surgery, including automated cephalometric ...

AI-Based CT Image Recognition With Med-Gemini-3D in the Diagnosis of a Rare Craniofacial Condition: A Catlin Mark Skull.

Artificial intelligence (AI) is increasingly applied in diagnostic imaging to enhance pattern recognition and support clinical decision-making. In 202...

External validation of the IHXGboost-P model to predict incisional hernia after midline laparotomy.

BACKGROUND: Incisional hernia (IH) is a significant complication that occurs after midline laparotomy and is associated with high morbidity and econom...

A Mixed Dual-Branch Network for Detecting Cervical Spondylotic Myelopathy and Parkinsonian Syndromes via Gait Analysis.

Cervical spondylotic myelopathy (CSM) and parkinsonian syndromes (PS) present similar motor symptoms, often causing misdiagnosis due to current clinic...

Artificial intelligence in bladder cancer management: a narrative review of diagnostic and surgical advances and current limitations.

INTRODUCTION: Bladder cancer (BC) is associated with high recurrence and progression rates that require intensive surveillance. In this context, Artif...

Predicting the diabetic foot in patients with type 2 diabetes mellitus based on machine learning.

BACKGROUND: Diabetic foot (DF) is a severe complication of type 2 diabetes mellitus (T2DM), contributing to significant morbidity and healthcare costs...

AI-assisted preoperative planning combined with robotic-assisted total knee arthroplasty vs. conventional surgery: a retrospective controlled study.

OBJECTIVE: To compare perioperative outcomes and early functional recovery between AI-robotic and conventional total knee arthroplasty (TKA). METHODS:...

Atrial Fibrillation Ablation Using 3D Artificial Intelligence Module Integration with Intracardiac Echocardiography.

BACKGROUND: Intracardiac echocardiography (ICE)-based electroanatomical mapping (EAM) improves procedural efficiency and safety in atrial fibrillation...

Potential link between dioxin induced progression of diffuse large B-cell lymphoma: New insights from machine learning and in vitro experiments.

BACKGROUND: Dioxin has emerged as a major and modifiable determinant of tumor burden worldwide. Building on this premise, we investigated whether diox...

Generalizable Deep Learning for Prostate Cancer Risk Stratification: Multicenter Study Integrating 18F-PSMA-1007 PET/CT and mpMRI.

BACKGROUND: Prostate cancer is the second most common cancer in men, with rising mortality rates necessitating precise risk stratification. High-invas...

Development of a Patient-Specific Fontan Failure Risk Calculator Using Machine Learning - A Step Towards Personalized Medicine.

OBJECTIVE: The Fontan operation is the final step in staged palliation for patients with single ventricle physiology. It has extended their life expec...

Identification of cell senescence-related genes in spontaneous preterm birth based on bioinformatics analysis and machine learning.

Spontaneous premature birth (SPTB) is a common pregnancy complication; however, few studies have explored cell senescence-related markers in SPTB. Bio...

[Surgery in the hospital and the practice : Chances, challenges and perspectives in otorhinolaryngology].

Operative ear, nose and throat (ENT) medicine in Germany is facing a profound structural change, which is significantly influenced by the ongoing hosp...

[Toe-to-hand transplantation for thumb and finger reconstruction].

Reconstruction of missing thumbs or fingers remains one of the most demanding challenges in hand surgery. Over the past century, toe-to-hand transplan...