Artificial Intelligence Medical Compendium

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

Showing 30,811 to 30,820 of 220,177 articles

Capturing naturalistic thoughts using a precision experience sampling idiographic approach.

Cognitive research: principles and implications
The existing literature on naturalistic thoughts has offered insights into the general patterns of thoughts common across large groups of participants. However, little is known about individual variability in thoughts. One approach to understanding v... read more 

Deep learning-based femoral reconstruction from intraoperative point clouds for enhanced knee arthroplasty registration.

International journal of computer assisted radiology and surgery
PURPOSE: Computer- and robotic-assisted technologies improve total knee arthroplasty (TKA) through intraoperative bone registration. However, limited bone exposure restricts point collection to the distal femur, omitting key geometric features and re... read more 

Ethical and Legal Concerns of Deepfake Technology in Biomedical Imaging: A Comprehensive Survey.

Annals of biomedical engineering
Deepfakes have posed severe challenges to healthcare systems as fake medical images and videos can be utilized to disseminate fake information about an organization or person. The challenges have open room for more solutions to address them. Therefor... read more 

Consumer Understanding of Skin Concerns With an AI-Powered Informational Tool.

JAMA dermatology
IMPORTANCE: The potential association of artificial intelligence (AI)-powered informational tools with consumer health needs outcomes is not well understood. Such tools could potentially be associated with the volume and distribution of patients seek... read more 

A multi-paradigm evaluation spanning pixels to voxels for deep learning-based kidney tumor segmentation.

Journal of medical engineering & technology
Automated segmentation of kidney tumors from computed tomography (CT) scans is crit- ical for diagnosis, treatment planning, and monitoring of renal cell carcinoma (RCC). While recent deep learning models report high Dice scores (>0.97), their clinic... read more 

Machine-Learning Microfluidic Minute-Scale Microorganism Metrics Monitoring(M6).

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
On-site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol-transmitted pathogens. Here, we report a rapid detection platform that int... read more 

Sustainable Materials Design With Multi-Modal Artificial Intelligence.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
The growing scarcity of critical minerals, coupled with high embodied carbon emissions and persistent pollution from material smelting, highlights the urgent need for a sustainable transformation in materials design. This challenge can be approached ... read more 

Development of a Contextualized, Research-Based Flemish Assessment Framework for Digital Care, Assistance, and Support: Delphi Study.

JMIR formative research
BACKGROUND: The rapid evolution of digital technologies has transformed health, mental health, and social care, offering new modalities of digital care, assistance, and support through web-based platforms, mobile apps, extended reality, wearables, an... read more 

A Preliminary Study of a Machine Learning Prediction of Poorly Differentiated Hepatocellular Carcinoma Based on a Comprehensive Parameter Analysis Using Dual-Energy Computed Tomography.

Journal of computer assisted tomography
OBJECTIVE: To develop and evaluate the performance of a predictive machine learning model for poorly differentiated hepatocellular carcinoma (p-HCC) using comprehensive quantitative parameters from dual-energy computed tomography (DECT). MATERIALS AN... read more