Surgery

Machine Learning to Predict Implant-Based Breast Reconstruction Failure: A Bootstrap-Validated Elastic Net Model.

BACKGROUND: Implant-based reconstruction failure remains a significant complication following breast reconstruction, with substantial implications for patient outcomes. Reliable preoperative risk prediction tools are lacking. METHODS: A retrospective single-center cohort study was conducted, including 381 IBR procedures performed from 2006 to 2023. Reconstruction failure was defined as explantatio...

Symmetry of the Upper Eyelid Following Bilateral Blepharoptosis Repair Using a Minimally Invasive Conjoint Fascial Sheath Suspension Technique.

AIM: Aim to use an artificial intelligence (AI) approach to automatically measure the marginal reflex distance 1 (MRD1), corneal exposure rate (CER) and percentage of overlapping curvatures (POC) to assess symmetry in patients with mild to moderate bilateral asymmetric ptosis, and to identify the optimal parameters for evaluating symmetry. METHODS: A paired t test was employed to compare alteratio...

A deep learning-based model for postoperative resection assessment in glioblastoma: A comparative study.

Colorectal liver metastases: imaging strategies for diagnosis, local treatment planning and systemic treatment response.

Colorectal liver metastases (CRLM) remain a major cause of cancer-related mortality, with imaging playing a critical role in diagnosis, treatment plan...

Artificial Intelligence-Empowered Image Fusion of Coronary Computed Tomography Angiography and Invasive Angiography for Guiding Chronic Total Occlusion Percutaneous Coronary Intervention.

Coronary computed tomography angiography (CCTA) provides qualitative and quantitative characteristics of atherosclerotic plaques, quantified percentag...

Comparative evaluation of large language models for patient education after total knee arthroplasty.

BACKGROUND: Artificial intelligence (AI) tools are increasingly used to support healthcare communication. Total knee arthroplasty (TKA) is a common or...

Imaging and genomics in stroke.

Imaging after ischemic and hemorrhagic stroke may allow measurement of key phenotypes of injury and recovery for which targeted therapies are still la...

Action classification for endoscopic pituitary adenoma resection: a consensus-based study.

PURPOSE: Pituitary adenoma resection via the endoscopic transsphenoidal approach is technically demanding, with outcomes influenced by surgical skill....

Future of Robotics and Integration of Artificial Intelligence: Toward Computer-Assisted Surgery and the Real Democratization of Surgical Care.

Minimally invasive surgery has evolved from a disruptive concept to a cornerstone of modern surgical oncology. The integration of imaging, robotics an...

Radiographic evaluation of the psoas and iliopsoas muscle as predictors for spinal cord ischemia after fenestrated and branched endovascular aortic repair.

OBJECTIVE: This study aimed to investigate the association between sarcopenia and spinal cord ischemia (SCI) after fenestrated and branched endovascul...

Enhancing Readability of Surgical Patient Education Resources Using ChatGPT.

INTRODUCTION: Patient education materials are essential for informed decision-making. However, their readability often exceeds the sixth-grade reading...

Integrating Real-Time Viable Biofluorescent Particle Counters within Robotic Gloveless Isolators.

Advanced technologies in both aseptic filling and environmental monitoring are coming together to improve the resilience and sterility assurance of as...

The impact of regional block presence on large language model-based postoperative analgesia recommendations in abdominal surgery: a comparative study using real-world patient data.

BACKGROUND: Postoperative pain management is a core component of anesthesiology practice, with regional anesthesia playing a key role in multimodal an...

Challenges and Controversies in the Diagnosis and Management of Thymic Epithelial Tumors from the Thymic Tumor Subcommittee of the International Association for the Study of Lung Cancer Rare Tumors Committee.

Thymic epithelial tumors (TETs), comprising thymomas, thymic carcinomas, and thymic neuroendocrine neoplasms, are rare prevascular (anterior) mediasti...

Consciousness Monitoring and Outcome Prediction Using EEG Connectivity in Severe Traumatic Brain Injury.

Neurological prognostication of patients in post-traumatic coma remains challenging due to the paucity of reliable markers in the acute phase. We aime...

Development of a machine learning model using structured and unstructured features for predicting surgery among patients with carpal tunnel syndrome: development and validation.

Carpal tunnel syndrome (CTS) is the most common entrapment neuropathy and often requires surgery when symptoms persist. However, identifying patients ...

Mechanized precision: the rise of robotic systems in spinal surgery.

BACKGROUND: Robot-assisted spinal surgery has rapidly evolved into a transformative innovation. Initially developed for pedicle screw placement, curre...

Robotic-assisted biventricular durable assist device implantation: The first in human experience.

We report a novel approach of robotic-assisted, minimally invasive biventricular assist device (BiVAD) implantation using HeartMate 3 in a 61-year-old...

Research progress in flap temperature monitoring technologies and applications after transplantation.

As a primary method for tissue repair and functional reconstruction, flap transplantation has achieved a clinical success rate of over 90%. However, t...

Brain ventricle morphology markers in predicting shunt surgery outcome in idiopathic normal-pressure hydrocephalus.

BACKGROUND: Idiopathic normal pressure hydrocephalus (iNPH) is characterized by a clinical triad of symptoms: abnormal gait, memory problems, and urin...