Surgery

A Multimodal Deep Learning Model for Preoperative Prediction of Postoperative Complications in Gastric Cancer.

BACKGROUND: Clavien-Dindo (CD) grade ≥II complications occur in roughly one in five patients after curative gastrectomy for gastric cancer and independently shorten overall survival (OS) by compromising adjuvant therapy delivery. Current nutritional, inflammatory and global surgical risk scores identify only a minority of affected patients. We developed and validated a multi-modal deep learning fr...

Automated detection of trigeminal neuralgia using multi-domain EEG feature analysis and CNN-attention architecture: a comparative machine learning study.

Trigeminal neuralgia (TN) is a debilitating neuropathic pain disorder characterized by sudden, intense facial pain, with diagnosis heavily reliant on subjective symptom reporting, leading to frequent misdiagnosis and treatment delays. This study aimed to develop and evaluate a proof-of-concept electroencephalography (EEG)-based automated detection framework for TN through systematic comparison of ...

Two-stage deep learning for circular landmark detection in hip radiographs.

This study develops a high-resolution anatomical landmark detection method for hip anteroposterior radiographs, designed to enhance the accuracy of fe...

A pilot randomized controlled trial protocol of overground robotic exoskeleton-assisted early ambulation after cardiovascular and thoracic surgery in the acute care setting (REACT-CVTS).

Early ambulation following cardiovascular and thoracic surgery (CVTS) is associated with improved postoperative outcomes. However, barriers such as pa...

Artificial Intelligence for Predicting Postoperative Outcomes in Anterior Segment and Ocular Adnexa Surgery: A Systematic Review.

TOPIC: Artificial intelligence (AI) is increasingly applied to support decision-making in ophthalmology. This review evaluates the ability of AI to pr...

Postoperative Differences in Dorsal Aesthetic Lines in Patients Undergoing Dorsal Preservation Rhinoplasty and Conventional Hump Resection.

BACKGROUND: Dorsal preservation rhinoplasty (DPR) and conventional hump resection techniques (CHR) are 2 distinct methods for nasal hump reduction, af...

Artificial Intelligence-Generated Electronic Medical Record Summarization in Breast Surgical Oncology.

BACKGROUND: Reviewing pathology, imaging, and consultation documents in oncology can be time-consuming, particularly when records originate from exter...

Clinical Study on the Prevention of High-Risk Pulmonary Nodule Progression With Yifei Sanjie Pill: Protocol for a Multicenter Randomized Controlled Trial.

BACKGROUND: High-risk subsolid pulmonary nodules, especially mixed ground-glass nodules, can represent precancerous or early-stage lung adenocarcinoma...

Machine Learning Prediction of Postoperative Mortality in Older Emergency Surgery Patients.

INTRODUCTION: The older adult population account for 35% of emergency general surgery (EGS) admissions and have an increased risk-adjusted odds of mor...

Improved risk stratification for oral tongue squamous cell carcinoma using deep learning-based MRI classifier and pathological markers to guide postoperative radiotherapy: A multicenter cohort study.

BACKGROUND: Current risk stratification for oral tongue squamous cell carcinoma (OTSCC) has limited accuracy in identifying patients who would benefit...

Artificial intelligence in urological education: a systematic review.

BACKGROUND: Artificial intelligence (AI) is currently widely applied across various fields, especially in the field of education where it holds signif...

Single-Cell and Bulk RNA Sequencing Reveal MCL1 as a Key Regulator of Mitochondrial Function in Liver Ischemia-Reperfusion Injury.

Liver ischemia-reperfusion injury (LIRI), a significant complication following liver transplantation and surgical procedures, remains inadequately add...

Endometriosis Unveiled: Innovations in Diagnosis and Management of Endometriosis.

Endometriosis is a chronic inflammatory condition that can result in chronic pain through complex nociceptive, neuropathic, and nociplastic pathways. ...

From Symptom Control to Precision Supportive Oncology: Integrating Artificial Intelligence in Supportive Oncology for Gastrointestinal Cancers.

PURPOSE OF REVIEW: Gastrointestinal (GI) cancers are among the most common malignancies worldwide and impose a substantial symptom burden from diagnos...

Explainable Machine-Learning Model for Predicting Severe Obstructive Sleep Apnea in Patients Undergoing Metabolic Bariatric Surgery.

BACKGROUND: Severe obstructive sleep apnea (SOSA) is associated with an increased risk of perioperative complications in patients undergoing metabolic...

Artificial Intelligence for Automated Current Procedural Terminology Coding in Plastic and Reconstructive Surgery Using a Fine-tuned Hybrid Large Language Model.

BACKGROUND: Current Procedural Terminology (CPT) coding in plastic and reconstructive surgery is complex, time-intensive, and prone to error, particul...

Predicting ankylosing spondylitis disease activity via patient-reported outcome measures: Building prediction models based on machine learning.

OBJECTIVE: Disease activity is a critical indicator for monitoring the progression of ankylosing spondylitis (AS), guiding clinical decision-making, a...

An explainable artificial intelligence framework for clinical decision support in stroke discharge planning.

BACKGROUND: Stroke, a leading cause of global mortality and disability, requires accurate prediction of discharge outcomes to support early care plann...

The effect of community intervention based on deep learning-established early screening system and model construction for stroke.

BACKGROUND: Stroke is a common cardiovascular complication. The machine learning (ML) algorithms in stroke is a new and noble approach. The objective ...

A pH-Calibrated Multi-Analyte MXene Aerogel Electrochemical Platform Assisted by Interpretable Machine Learning for CSF-Based Prescreening of Postoperative Bacterial Meningitis.

Rapid and reliable prescreening and early risk stratification of postoperative meningitis (PNM) remain challenging because clinical symptoms are nonsp...