Artificial Intelligence Medical Compendium

IntroductionCardiac surgery with cardiopulmonary bypass (CPB) often induces systemic inflammatory reaction syndrome (SIRS), affecting postoperative outcome. We aimed to explore adaptive/maladaptive inflammation using unsupervised machine learning.Met... read more 

This retrospective study evaluates U-Net-based artifact reduction for dose-reduced sparse-sampling CT (SpSCT) in terms of image quality and diagnostic performance using a reader study and automated detection. CT pulmonary angiograms from 89 patients ... read more 

This study aims to identify common errors in head and neck CTA reports using GPT-4, ERNIE Bot, and SparkDesk, evaluating their potential for supporting quality control in Chinese radiological reports. This study collected 10,000 head and neck CTA ima... read more 

Automated segmentation of skeletal muscle from computed tomography (CT) images is essential for large-scale quantitative body composition analysis. However, manual segmentation is time-consuming and impractical for routine or high-throughput use. Thi... read more 

Volumetric estimation of affected brain volumes using computed tomography perfusion (CTP) is crucial in the management of acute ischemic stroke (AIS) and relies on commercial software, which has limitations such as variations in results due to image ... read more 

INTRODUCTION: The threshold for initiating lifesaving antibiotics for intensive care patients is low while determining when to stop remains challenging: prolonged administration increases antibiotic resistance and occurrence of side effects, while pr... read more 

The pervasive challenges in cancer management, ranging from accurate early diagnosis to effective personalised therapies and precise patient stratification, represent significant clinical unmet needs. Artificial intelligence (AI) is transforming canc... read more 

INTRODUCTION: Standard spine surgery machine learning (ML) models often rely on structured clinical data, overlooking nuanced free text, such as preoperative surgical notes. The aims of this work were to develop a multimodal ML model combining struct... read more 

Fungicides are essential agrochemicals for the prevention and control of plant diseases. Counterfeit products, often lacking enough active ingredients, can compromise disease management and pose risks to agricultural safety. Precise quantification of... read more 

Gastric cancer remains a major global health challenge, and its early diagnosis and prognosis prediction pose significant challenges to the current clinical treatment of gastric cancer. Finding gastric cancer biomarkers is essential to comprehending ... read more