Artificial Intelligence Medical Compendium

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

Showing 63,991 to 64,000 of 231,309 articles

Predicting upwelling dynamics in the South Sea of Java, Indonesia: A deep learning approach with ConvLSTM and 3D-CNN.

MethodsX
Oceans exhibit complex dynamics influenced by climate change, anthropogenic activities, and natural phenomena. Understanding these dynamics is critical for ensuring the sustainability of marine environments and their optimal utilization. This researc... read more 

A multi-angle reflectance dataset of wheat and peach trees with unmanned aerial vehicle imagery.

Data in brief
Medium- to high-resolution satellite data, such as Sentinel-2 and Landsat-8, have significantly enhanced the accuracy of vegetation monitoring. However, canopy reflectance and vegetation indices are affected by the bidirectional reflectance distribut... read more 

ACFSENet: an adaptive cross-frequency global sparse encoding network for end-to-end EEG emotion recognition.

Biomedical physics & engineering express
End-to-end EEG-based emotion recognition is attracting increasing attention due to its potential in human-computer interaction, mental health, and affective brain-computer interfaces (aBCIs). However, most existing methods overlook cross-frequency in... read more 

Explainable AI for pain perception: subject-independent EEG decoding using DeepSHAP and CNNs.

Biomedical physics & engineering express
Objective.Accurate classification of pain levels is essential for clinical monitoring, particularly in clinical populations with limited verbal communication. This study explores the feasibility of decoding pain from EEG using explainable deep learni... read more 

Development of a machine learning model for predicting right-sided colon cancer recurrence: A retrospective single center pilot study.

Revista de gastroenterologia de Mexico (English)
INTRODUCTION AND AIM: Right-sided colon cancer (RSCC) is characterized by distinct clinical features and recurrence patterns. Our study aimed to develop a predictive model for distant recurrence in patients with RSCC who underwent curative surgery, e... read more 

Automated Gross Tumor Volume (GTV) Contouring in High-Grade Gliomas Using a Deep Learning Approach.

Academic radiology
RATIONALE AND OBJECTIVES: Accurate contouring of the Gross Tumor Volume (GTV) in High-Grade Gliomas (HGGs) is a cornerstone of effective Radiation Therapy (RT) planning, as it influences tumor control and spares normal tissue, thereby directly impact... read more 

[Study of the performances of conversational agents in interpreting textual description of lesions in pathology].

Annales de pathologie
The applications of artificial intelligence (AI) in anatomical and cytological pathology (ACP) are growing, particularly in image analysis. Conversational agents (CAs) based on large language models may also be useful as helps in the analysis of ACP ... read more 

Flux dynamics and scenario simulation of PFAS under extreme hydrological perturbations in urban tributary flowing into the Yangtze River: A focus on floods.

Journal of hazardous materials
Floods considerably amplify pollutant transfer into the Yangtze River (YZR) via tributaries. We explored flood-induced changes in PFAS pollution patterns and flux dynamics from urban tributaries into the YZR to assess the threats that floods pose to ... read more