Artificial Intelligence Medical Compendium

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

Showing 1,991 to 2,000 of 165,462 articles

Risk inventory and mitigation actions for AI in medical imaging-a qualitative study of implementing standalone AI for screening mammography.

BMC health services research Jul 30, 2025
BACKGROUND: Recent prospective studies have shown that AI may be integrated in double-reader settings to increase cancer detection. The ScreenTrustCAD study was conducted at the breast radiology department at the Capio S:t Göran Hospital where AI is ... read more 

Advanced air quality prediction using multimodal data and dynamic modeling techniques.

Scientific reports Jul 30, 2025
Accurate air quality forecasting is critical for human health and sustainable atmospheric management. To address this challenge, we propose a novel hybrid deep learning model that combines cutting-edge techniques, including CNNs, BiLSTM, attention me... read more 

A hybrid deep learning model for sentiment analysis of COVID-19 tweets with class balancing.

Scientific reports Jul 30, 2025
The widespread dissemination of misinformation and the diverse public sentiment observed during the COVID-19 pandemic highlight the necessity for accurate sentiment analysis of social media discourse. This study proposes a hybrid deep learning (DL) m... read more 
Humans Pandemics COVID-19 SARS-CoV-2 Deep Learning Social Media

Deep learning molecular interaction motifs from receptor structures alone.

Journal of cheminformatics Jul 30, 2025
Interactions of proteins with other molecules are often mediated by a set of critical binding motifs on their surfaces. Most traditional binder designs relied on motifs borrowed from known binder molecules, which highly restricted their applicability... read more 

Trabecular bone analysis: ultra-high-resolution CT goes far beyond high-resolution CT and gets closer to micro-CT (a study using Canon Medical CT devices).

Skeletal radiology Jul 30, 2025
OBJECTIVE: High-resolution CT (HR-CT) cannot image trabecular bone due to insufficient spatial resolution. Ultra-high-resolution CT may be a valuable alternative. We aimed to describe the accuracy of Canon Medical HR, super-high-resolution (SHR), and... read more 

Subjective and Objective Quality Assessment of Banding Artifacts on Compressed Videos.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jul 30, 2025
Although there have been notable advancements in video compression technologies in recent years, banding artifacts remain a serious issue affecting the quality of compressed videos, particularly on smooth regions of high-definition videos. Noticeable... read more 

Machine Learning-Driven Deconvolution of Mixed X-ray Absorption Spectra.

The journal of physical chemistry. A Jul 30, 2025
X-ray absorption spectroscopy (XAS) plays a crucial role in determining the oxidation states, local atomic structures, and electronic configurations of materials. However, the interpretation of complex spectra with multiple ion sites and varying loca... read more 

Improving rainfall forecasting using deep learning data fusing model approach for observed and climate change data.

Scientific reports Jul 30, 2025
Accurate rainfall forecasting is vital for managing water resources, preventing floods, supporting agricultural activities, and enhancing disaster preparedness. Traditional forecasting methods, such as linear regression, autoregressive models, and ti... read more 

Recent Advances in Reactive Microdroplets for Clean Water and Energy.

Advanced materials (Deerfield Beach, Fla.) Jul 30, 2025
Microdroplets have emerged as powerful and sustainable platforms for the design and synthesis of functional materials under mild and environmentally friendly conditions. Their unique physicochemical environments - characterized by high surface-to-vol... read more 

Automatic Couinaud segmentation using AI and pictorial representation landmarking.

Abdominal radiology (New York) Jul 30, 2025
OBJECTIVES: Delineating the Couinaud segments is a critical component of liver surgery and monitoring that has traditionally relied on labor-intensive methods that are prone to variability. While fully or semi-automatic methods exist, they generally ... read more 
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