Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 68,271 to 68,280 of 233,231 articles

Jointly Learned 3D Non-Cartesian Sampling With Wave Encoding and Reconstruction for Neurovascular Phase Contrast MRI.

Magnetic resonance in medicine
PURPOSE: To develop accelerated 3D phase contrast (PC) MRI using jointly learned wave encoding and reconstruction. METHODS: Pseudo-fully sampled neurovascular 4D flow data (N = 40) and a simulation framework were used to learn phase encoding location... read more 

Natural amphiphilic co-polymers as sustainable nanocarriers for enhanced solubility of hydrophobic drugs.

Journal of biomaterials science. Polymer edition
A major barrier to effective therapy is the limited water solubility of many Biopharmaceutics Classification System (BCS) Class II and IV medications, which results in poor bioavailability and inconsistent patient outcomes. Better solubilization and ... read more 

Deep learning algorithm assisting diagnosis of prostate cancer extracapsular extension based on [18F]PSMA-1007 PET/CT and multiparametric MRI: A multicenter study.

Prostate cancer and prostatic diseases
BACKGROUND: This study aimed to develop and validate deep learning (DL) models based on multiparametric MRI (mpMRI) and [18F]PSMA-1007 PET/CT to predict extracapsular extension (ECE) in prostate cancer (PCa), and to explore easy models integrating DL... read more 

Application of Artificial Intelligence-Based Transfer Learning Models to the Bethesda System for Thyroid Cytopathology.

Cytopathology : official journal of the British Society for Clinical Cytology
BACKGROUND: The Bethesda System for Reporting Thyroid Cytopathology (TBSRTC) provides a standardised framework for thyroid fine needle aspiration cytology (FNAC). Deep learning approaches, particularly transfer learning, have shown potential for cyto... read more 

Automated Construction of Artificial Lattice Structures with Designer Electronic States.

ACS nano
Manipulating matter with a scanning tunneling microscope (STM) enables the creation of atomically defined artificial structures that host designer quantum states. However, the time-consuming nature of the manipulation process, coupled with the sensit... read more 

Mri-based habitat and peritumoral radiomics for predicting the proliferative activity of stromal cells in giant cell tumor of bone.

Journal of bone oncology
PURPOSE: This study aims to explore the feasibility of MRI-based habitat and peritumoral radiomics for predicting the proliferative activity of stromal cells in giant cell tumor of bone (GCTB). MATERIAL AND METHODS: A retrospective study was performe... read more 

Automated assessment of right heart function by artificial intelligence: A systematic review and meta-analysis.

European journal of radiology open
BACKGROUND: Accurate assessment of right ventricular (RV) size and function is critical for managing cardiac diseases but is challenged by the limitations of traditional echocardiography. Artificial intelligence (AI) models offer potential for improv... read more 

Using, misusing, and improving online machine learning-based meta-analysis of neuroimaging published data: A perspective on NeuroQuery.

Neuroimage. Reports
Online, text-based meta-analysis tools for large databases represent a new digital advance for medical, health, and neuroscience research, among other fields. NeuroQuery is an instance of such a tool for neuroimaging research; it employs supervised m... read more 

AI-powered intestinal ultrasound in inflammatory bowel disease: Advancing toward automated disease assessment.

Current opinion in pharmacology
The management of inflammatory bowel disease (IBD) relies on accurate disease assessment and close monitoring to guide therapy and evaluate treatment response. While endoscopy remains the gold standard for detecting mucosal inflammation, its invasive... read more