Artificial Intelligence Medical Compendium

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

Showing 59,831 to 59,840 of 228,014 articles

DynaBench: Dynamic data for the docking benchmark.

Journal of molecular biology
Protein-protein interactions are central to numerous cellular processes, including transport, signaling, and immune response. Structural modeling of protein assemblies typically relies on AlphaFold or docking methods, which produce structural models ... read more 

LungSurg: A Generative AI System for Segmentation and Phase Classification in Thoracoscopic Lobectomy.

MedComm
The integration of artificial intelligence (AI) into surgical practices is advancing towards greater intelligence and precision. This study assesses the potential of AI in video-assisted thoracoscopic surgery (VATS) lobectomy for lung cancer by devel... read more 

Decoding lower-limb movement attempts from electro-encephalographic signals in spinal cord injury patients.

APL bioengineering
Restoring lower-limb function in patients with severe spinal cord injury (SCI) remains challenging. Spinal cord stimulation may enhance and reinstate lower-limb movements, but it is either used in open-loop control or its control depends upon residua... read more 

Clinical prediction of aortic arch anatomy to guide stroke CT angiography protocols: A machine learning study.

The neuroradiology journal
BackgroundThe aortic arch (AA) influences catheter navigation during endovascular treatment (EVT) for acute ischemic stroke. Whether routine inclusion of the AA in stroke CT angiography (CTA) protocols is necessary remains debated, particularly in se... read more 

FetCAT: Cross-attention fusion of transformer-CNN architecture for fetal brain plane classification with explainability using motion-degraded MRI.

PloS one
Fetal brain magnetic resonance imaging (MRI) has been recognized as a vital diagnostic tool for identifying neurological anomalies during pregnancy. Accurate classification of fetal MRI planes is essential for effective prenatal neurological assessme... read more 

SVASCilia is an open-source, deep learning-based tool for 3D analysis of cochlear hair cell stereocilia bundles.

PLoS biology
Cochlear hair cells are essential for hearing, and their stereocilia bundles are critical for mechanotransduction. However, analyzing the 3D morphology of these bundles can be challenging due to their complex organization and the presence of other ce... read more 

Federated TriNet-AQ: Explainable english proficiency classification in augmented and virtual reality learning.

PloS one
AR/VR and other immersive technologies are creating dynamic, learner-centred, and engaging language-learning environments. In these ever-changing situations, judging someone's language abilities is difficult. Managing multimodal learner inputs, under... read more 

Reassessing feature-based Android malware detection in a contemporary context.

PloS one
We report the findings of a reimplementation of 18 foundational studies in feature-based machine learning for Android malware detection, published during the period 2013-2023. These studies are reevaluated on a level playing field using a contemporar... read more 

Higher-level spatial prediction in natural vision across mouse visual cortex.

PLoS computational biology
Theories of predictive processing propose that sensory systems constantly predict incoming signals, based on spatial and temporal context. However, evidence for prediction in sensory cortex largely comes from artificial experiments using simple, high... read more 

Investigating the relationship between teacher efficacy, job satisfaction, and digital resource utilization in assessment practices: Insights from PISA 2018 and 2022.

PloS one
The COVID-19 pandemic disrupted global education systems, forcing rapid shifts in teaching practices, technology integration, and assessment methods. However, little is known about how teacher efficacy, job satisfaction, and digital adoption vary acr... read more