Thoracic Surgery

Clinical Machine Learning Model for Predicting Pathological Complete Response in Patients with Esophageal and Gastroesophageal Junction Adenocarcinoma After Trimodality Therapy.

BACKGROUND: Accurate prediction of pathological complete response (pCR) after preoperative chemoradiation therapy, followed by surgery (trimodality therapy) in esophageal adenocarcinoma (EAC) and gastroesophageal junction adenocarcinoma (GEJAC) may improve clinical decision-making and patient counseling before esophagectomy. This study aimed to develop predictive models for pCR after trimodality u...

The Year in Perioperative Echocardiography:Selected Highlights From 2025.

This article is the 10th of an annual series reviewing the research highlights of the year pertaining to the subspecialty of perioperative echocardiography for the Journal of Cardiothoracic and Vascular Anesthesia. The authors thank the editor-in-chief, Dr. Kaplan, and the editorial board for the opportunity to continue this series. In most cases, these will be research articles that are targeted ...

Chest Tube Learning Synthesis and Evaluation Assistant (CheLSEA): A Prospective Observational Trial of an Intelligent Decision Support System.

OBJECTIVE: This study evaluates the performance of an artificial intelligence predictive clinical decision support system (CheLSEA) in generating ches...

Artificial Intelligence in Perioperative Cardiothoracic and Vascular Practice: The Development and Deployment of Assisted and Autonomous Care Options.

Prospectively screening for venous thromboembolism in patients with esophagectomy for cancer improves survival: The complexity of simplicity.

BACKGROUND: We implemented a prospective screening program to detect deep venous thromboembolism and define its prevalence in patients with esophageal...

Deep learning model for pathological invasiveness prediction using smartphone-based surgical resection images in clinical stage IA lung adenocarcinoma (SuRImage): a prospective, multicentric, diagnostic study.

BACKGROUND: In clinical stage IA lung adenocarcinoma (LUAD), rapid and accurate intraoperative diagnosis is crucial to decide whether to perform segme...

Practical Integration of Bedside Real-Time Lung Ultrasound and Electrical Impedance Tomography for Guiding Personalized Perioperative Lung Protective Ventilation in Cardiothoracic and Vascular Anesthesia.

Patients undergoing cardiothoracic and vascular surgery are at uniquely high risk for postoperative pulmonary complications due to the confluence of s...

Trends and disparities in female authorship in surgical publications: A large-scale bibliometric study using natural language processing.

BACKGROUND: Gender disparities in academic surgery persist, particularly in authorship positions that signal leadership, mentorship, and scholarly inf...

The Impact of AI on Eye Gaze Patterns in Chest X-Ray Interpretation: An Eye Tracking Study of Novice and Expert Radiologists.

PURPOSE: To investigate how artificial intelligence-assisted chest radiograph interpretation influences eye gaze patterns in novice and expert radiolo...

Clinical evaluation of a motion correction software based on partial angle reconstruction in coronary CT angiography.

To evaluate a new deep learning (DL) motion correction (MC) software based on partial angle reconstruction (PAR) to reduce motion artifacts in patient...

Association of Artificial Intelligence Derived Cardiothoracic Ratio Assessment on Non-Cardiac Chest CT with Heart Failure and All-Cause Mortality: A Retrospective Single Center Study.

BACKGROUND: The cardiothoracic ratio (CTR) is estimated by dividing cardiac width by thoracic width. The Area Deprivation Index (ADI) is a metric to q...

Exploration of Different Machine Learning Methods and Domains of Predictors for Chronic Postsurgical Pain After Video-Assisted Thoracoscopic Surgery.

OBJECTIVES: Chronic postsurgical pain (CPSP) is a significant burden affecting ∼30% of patients after video-assisted thoracoscopic surgery (VATS). The...

Preface for Symposium on Artificial Intelligence in Cardiothoracic Imaging.

Comparable survival after lobectomy and total thyroidectomy for T3b differentiated thyroid carcinoma: A population-based study.

BACKGROUND: The 2025 American Thyroid Association guidelines recommend total thyroidectomy for all T3b differentiated thyroid carcinoma (DTC). However...

Objective assessment of surgical skill using artificial intelligence hand tracking in cardiothoracic training: A feasibility study.

OBJECTIVES: Measuring surgical competency is essential for surgical residents to ensure patient safety. Traditional assessment tools, rely on subjecti...

LungSurg: A Generative AI System for Segmentation and Phase Classification in Thoracoscopic Lobectomy.

The integration of artificial intelligence (AI) into surgical practices is advancing towards greater intelligence and precision. This study assesses t...

Development and Validation of an Artificial Intelligence Surgical Video Analysis Model for Predicting Visceral Pleural Invasion in Lung Cancer Surgery: A Multicenter Study.

BACKGROUND: Intraoperative diagnosis of visceral pleural invasion (VPI) during video-assisted thoracoscopic surgery (VATS) remains challenging. This s...

Artificial intelligence-based prediction of cardiothoracic intensive care unit length of stay: A comparative machine learning approach.

BACKGROUND: Predicting prolonged intensive care unit (ICU) length of stay (LOS) remains challenging, and traditional statistical models often fail to ...

Artificial intelligence in cardiothoracic monitoring and echocardiography.

PURPOSE OF REVIEW: This review describes the recent advancements of artificial intelligence (AI) in cardiothoracic anesthesia monitoring. RECENT FINDI...

Noninvasive follicular thyroid neoplasm with papillary-like nuclear features: an update.

PURPOSE OF REVIEW: Noninvasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP) has been recognized as a diagnostic entity sin...