Artificial Intelligence Medical Compendium

BACKGROUND: Oncologic emergencies in critically ill cancer patients frequently require rapid, real-time assessment of tumor responses to therapeutic interventions. However, conventional imaging modalities such as computed tomography and magnetic reso... read more 

STUDY DESIGN: Cross-sectional study. OBJECTIVE: This study aimed to analyze the failure patterns of expandable corpectomy cages. SUMMARY OF BACKGROUND DATA: Expandable corpectomy cages offer significant advantages for anterior column reconstruction b... read more 

BACKGROUND: Amyotrophic Lateral Sclerosis (ALS) is a severe neurodegenerative disease, and there is currently an urgent need to identify valuable biomarkers to accelerate diagnosis, optimize treatment and prognosis. METHODS: To conduct a bibliometric... read more 

OBJECTIVES: Major advancements have been made in applying artificial intelligence and computer vision to analyze videolaryngoscopy data. These models are limited to post hoc analysis and are aimed at research settings. In this work, we assess the fea... read more 

Artificial intelligence, particularly machine learning (ML), has great potential in improving patient outcomes through clinical decision support systems. ML has the capability to revolutionize patient care by improving diagnostics, treatment personal... read more 

OBJECTIVE: Infectious diseases controlling system is indispensable for weaken the damage to the people's life and property security caused by infectious diseases. An effective infectious diseases controlling system must incorporate an early warning m... read more 

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BACKGROUND: Melanoma is a life-threatening skin malignancy, with sentinel lymph node metastasis (SLNM) serving as a critical prognostic factor. While machine and deep learning models using histopathology have focused on melanoma diagnosis, limited ef... read more 

Ergonomics increasingly emphasises that seat design should align with the driver's physiological needs to enhance comfort and health. This study uses deep learning to evaluate the impact of seat multi-axis coherent vibration on driver comfort. Throug... read more 

Accurate polyp size estimation during colonoscopy is crucial for clinical decision making, follow-up, and implementation of cost-saving strategies. Objective sizing methods are lacking, and interobserver variability is high. This prospective, multice... read more