Artificial Intelligence Medical Compendium

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

Showing 351 to 360 of 199,993 articles

Sign language narrative reveals universal and modality-specific features of cortical timescale hierarchy.

Nature communications
Human languages are unique in their capacity to tell stories. Prior neuroimaging studies show that spoken language narrative comprehension engages a neural time-scale hierarchy, from words and sentences to narratives. Sign languages share core featur... read more 

Genetic architecture of white matter microstructure captured by unsupervised deep representation learning of fractional anisotropy maps.

Nature communications
Fractional anisotropy (FA) from diffusion MRI is a widely used marker of white matter (WM) integrity, but conventional FA-based genetic studies typically rely on tract- or atlas-defined averages that may obscure spatially distributed WM variation and... read more 

Characterization of high-resolution AI data center training workloads on single and multiple GPU nodes.

Scientific data
The rapid advancement of Artificial Intelligence (AI) is driving unprecedented computational demands, posing significant challenges to datacenter infrastructure and threatening the stability and resilience of modern power grids. This study presents a... read more 

High encoding-sensitivity vision sensor with complementary nonlinear neuromorphic computing.

Nature communications
Building a neuromorphic vision sensor capable of signal processing and spike generation is essential for developing hardware tailored to brain-inspired spiking neural networks. A critical challenge, however, is the constrained adaptive sensitivity wh... read more 

Association of Deep Learning-Derived Temporalis Sarcopenia with Mortality in Acute Ischemic Stroke.

The journals of gerontology. Series A, Biological sciences and medical sciences
BACKGROUND: Sarcopenia is associated with mortality following acute ischemic stroke (AIS), but diagnosis is time-consuming. Computed tomography (CT) measures of temporal muscle volume (TMV) and density (TMD) can be automatically extracted from existi... read more 

Immersive virtual reality for cognitive rehabilitation in patients who had a stroke: study protocol for a randomised controlled trial.

BMJ open
INTRODUCTION: Poststroke cognitive impairment (PSCI) is a prevalent complication of stroke, characterised by deficits in one or more cognitive domains (eg, memory, attention, executive function). Beyond increasing mortality and disability risks, PSCI... read more 

Clinical outcomes, patient satisfaction and operational efficiency of AI-powered chatbots in medicine and healthcare: protocol for an AI-aided scoping review.

BMJ open
INTRODUCTION: Artificial intelligence (AI)-powered chatbots are increasingly integrated into healthcare to support administrative processes, health education and chronic disease management. These systems simulate human dialogue through natural langua... read more 

Impact of artificial intelligence integrations on empathy in healthcare interactions between patients and practitioners: protocol for a systematic review and thematic synthesis of qualitative studies.

BMJ open
INTRODUCTION: Empathic healthcare improves patient satisfaction with care, anxiety and pain, while reducing practitioner burnout. Artificial intelligence (AI) is continuously advancing and changing the context of empathy in healthcare. While AI may i... read more 

Evaluating the VOCORDER device for early disease detection through breath analysis: study protocol for a two-phase clinical study.

BMJ open
INTRODUCTION: The survival rate of patients with life-threatening diseases primarily depends on the speed of diagnosis. Too often, diseases are detected only after symptoms appear, which usually occurs at later stages of a disease when available trea... read more