Artificial Intelligence Medical Compendium

Supported platinum catalysts are widely used in industry for hydrogenation reactions. The variations of the electronic and geometric properties of Pt nanoparticles due to temperature can greatly affect their reactivity. In this work, we use in situ X... read more 

PURPOSE: Accurate grading of prostate cancer is critical for treatment strategies and risk stratification. This study aims to develop a machine learning (ML) model integrating Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) pharmacokin... read more 

BACKGROUND: Breast cancer (BC) treatment efficacy is often compromised by tumor cell plasticity and multidrug resistance of multi-factorial origin. Among emerging therapeutic agents, flavonoids - a structurally diverse group of naturally occurring po... read more 

RATIONALE AND OBJECTIVES: To assess the impact of a deep learning-based noise reduction (DLD) technique on image quality and diagnostic accuracy for the evaluation of coronary arteries in transcatheter aortic valve implantation (TAVI) CT imaging. MAT... read more 

INTRODUCTION: Current pain scoring systems are being replaced by sensor-derived physiological parameters responding to autonomic changes (i.e., autonomic parameters such as heart rate variability and pupillary diameter) that quantify pain intensity a... read more 

BACKGROUND AND OBJECTIVE: Renal Cell Carcinoma (RCC) is often diagnosed at advanced stages, limiting treatment options. Since prognosis depends on tumour subtype, accurate and efficient classification is essential. Artificial intelligence tools can a... read more 

Dynamic contrast-enhanced MRI (DCE-MRI) is common technique for assessing tissue perfusion and permeability in brain tumors (e.g., gliomas), using generalized tracer kinetic (GTK) analysis. However, conventional non-linear least squares (NLLS) method... read more 

OBJECTIVES: This in vitro study evaluated the influence of artificial intelligence-driven occlusal contact adjustment (AI-OCA) on the trueness of virtual occlusal records (VORs) acquired using two intraoral scanner (IOS) systems (TRIOS4 [TR4] and TRI... read more 

INTRODUCTION: This study evaluated the accuracy and consistency of two large language models developed by Alphabet Inc., Google Gemini (GG), a base configuration, and NotebookLM (NLM), a document-grounded configuration, when answering clinical questi... read more 

BACKGROUND & AIMS: Noninvasive tests (NITs) have not yet been systematically evaluated or optimized to detect metabolic dysfunction-associated steatohepatitis (MASH) with fibrosis stages F2 to F3, the current treatment-eligible group defined by the U... read more