Artificial Intelligence Medical Compendium

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OBJECTIVE: Pneumoconiosis is a common and highly hazardous occupational disease. The staging of pneumoconiosis is mainly carried out by experienced doctors on the basis of the shadows and textures on lung x-ray films. Despite well-defined criteria, t... read more 

BACKGROUND: Hypotension in the intensive care unit (ICU) demands rapid diagnosis and intervention, as delays in identifying the etiology of shock directly impact patient outcomes. Point-of-care ultrasound (POCUS) has become an indispensable tool for ... read more 

Oral cancer, specifically oral squamous cell carcinoma, is rapidly progressive, with a high recurrence rate and grave prognosis. Treatment modalities like surgery, chemotherapy, and radiotherapy are customarily associated with noxious side effects as... read more 

Mycelial biocomposites are sustainable alternatives to nonbiodegradable materials in building and packaging. Efficient manufacturing requires accurate, non-destructive quantification of growth over time, yet existing methods are often destructive or ... read more 

OBJECTIVE: This study aims to develop and validate a deep learning radiomics (DLR) model based on ultrasound images for non-invasively distinguishing the myometrial infiltration (MI) of patients with endometrial cancer (EC). METHODS: We retrospective... read more 

PURPOSE: To develop and validate a 2.5D multi-angle deep learning (MADL) model for preoperative T-staging in patients with gastric cancer (GC) and to explore the predictive potential for survival outcome. MATERIALS AND METHODS: In this retrospective ... read more 

PURPOSE: To develop an integrated predictive model combining radiomics, clinical risk factors, and machine learning for prognostic assessment in hepatocellular carcinoma (HCC) patients receiving continued transarterial chemoembolization (TACE) after ... read more 

This study aimed to develop a deep learning-based method for automatic segmentation of the pharyngeal area (PA) and measurement of the pharyngeal contraction ratio (PCR) during deglutition using cine magnetic resonance imaging (MRI). The proposed alg... read more 

OBJECTIVES: To evaluate GPT-4o's zero-shot ability to extract structured diagnostic labels (with uncertainty) from free-text radiology reports and to test how these labels affect multi-label image classification of musculoskeletal radiographs. MATERI... read more