Surgery

Hydrodynamic modulation of microplastic bioaccumulation in edible fish: Integrating biomarker networks, machine learning, and food safety perspectives.

Microplastic (MP) pollution poses increasing environmental and food safety risks, yet the role of hydrodynamics in MPs bioaccumulation and fish physiology is unclear. This study assessed the effects of 5 μm polystyrene MPs (1000 μg/L) on Ctenopharyngodon idella under static conditions and at water velocities of 1, 3, and 5 body lengths per second (BL/s). Fish exposed to high velocity showed highes...

Cardiovascular Science, Medicine, and Society: The Brave New World: The ACC Braunwald Lecture 2025.

Recent scientific and technological advances have dramatically expanded the possibilities in cardiovascular medicine. Landmark clinical trials have introduced transformative therapies for lipid disorders, heart failure, and obesity, offering clinicians powerful new tools to manage increasingly complex patient populations. Discoveries in molecular medicine, including gene therapies and RNA therapeu...

Comprehensive assessment of postoperative metachronous liver metastasis risk in colon cancer based on inflammatory indicators: a multicenter prospective study.

OBJECTIVE: Insidiousness is a hallmark of metachronous liver metastasis. Owing to the absence of a comprehensive machine-learning model integrating sy...

Comment on "Artificial Intelligence for predicting post-excision recurrence and malignant progression in oral potentially malignant disorders: a retrospective cohort study".

Anatomic Features of the Abdomen Predict Donor Site Complications in Deep Inferior Epigastric Artery Perforator Flap Breast Reconstruction: A Machine Learning Approach.

BACKGROUND: Abdominal donor site complications remain significant concerns in Deep Inferior Epigastric Perforator (DIEP) flap breast reconstruction. I...

AURA-CVC: Autonomous Ultrasound-guided Robotic Assistance for Central Venous Catheterization.

PURPOSE: Central venous catheterization (CVC) is a critical medical procedure for vascular access, hemodynamic monitoring, and life-saving interventio...

The problem with the 'truth': rethinking ground truth for artificial intelligence in endometriosis diagnosis.

Artificial intelligence (AI) is revolutionizing how we practice medicine. In areas where we have traditionally struggled, such as diagnosing endometri...

Stratified Causal Inference for Intensive Care Unit Risk Prediction: Informatics-Based Modeling of Anesthetic Drug Combinations.

BACKGROUND: Postoperative intensive care unit (ICU) admission affects 15% to 20% of surgical patients and represents a major source of morbidity and h...

Automated Delineation of Putative Non-Contrast-Enhancing Tumor in Glioblastoma: Prognostic Insights.

BACKGROUND: Precise delineation of non-contrast-enhancing tumor (nCET) in glioblastoma (GB) is critical for maximal safe resection, yet routine imagin...

Endometriosis pain index: development of a model to predict poor pain-related quality of life after endometriosis surgery through machine learning analysis of registry data.

Predictive tools are lacking for pain-related outcomes after endometriosis surgery. The objective of this study was to develop and validate a machine ...

[Utilizing machine learning and SHAP analysis to develop a prognostic survival prediction model for gastric cancer patients following radical gastrectomy].

Objective: To construct a prediction model and website for the overall survival (OS) of gastric cancer patients after radical gastrectomy based on SHa...

Breaking barriers in women's pelvic health: claims-based economic analysis and healthcare utilization of an AI care program compared to usual care.

AIM: To compare healthcare utilization and spending among women enrolled in an employer-sponsored, artificial intelligence (AI) structured pelvic care...

Minimally Invasive Resection of a Compound Odontoma Assisted by an Autonomous Oral Robot: A Technical Innovation.

This report describes the first clinical application of an autonomous oral robot for minimally invasive resection of a compound odontoma in a 16-year-...

Nomogram based on the pre-treatment systemic oxidative stress score to predict the prognosis of surgically treated patients with oral squamous cell carcinoma: competing risk model analysis.

The aim of this study was to explore the prognostic predictive importance of the pre-treatment systemic oxidative stress score (SOS) in surgically tre...

Uncovering the Dynamics of Mucosa-Associated Microbiota in Postoperative Recurrence of Crohn's Disease.

BACKGROUND & AIMS: About 50% to 75% of patients with Crohn's disease (CD) need bowel resection. Postoperative recurrence of CD is frequent. Here, we i...

Three-dimensional Printing and Surgical Planning for Complex Chest Wall Resections.

Three-dimensional printing is increasingly used in the planning and reconstruction of complex chest wall resections. This article examines its clinica...

Machine-learning algorithms for detecting intracranial hemorrhage on head computed tomography.

This is a protocol for a Cochrane Review (diagnostic). The objectives are as follows: The primary objective of this review is to determine the diagnos...

Artificial Intelligence-Assisted Anatomical Recognition System-Guided Robotic Total Mesorectal Excision and Autonomic Nerve Preservation for Rectal Neuroendocrine Tumor.

Predicting Hypertension Persistence in Coarctation of the Aorta: A Feasibility Study.

Hypertension (HTN), despite contemporary endovascular repair, is a common and challenging complication of coarctation of the aorta (CoA), and its mech...

Correction to: Developing a high-performance AI model for spontaneous intracerebral hemorrhage mortality prediction using machine learning in ICU settings.