AIMC Topic: Humans

Clear Filters Showing 52631 to 52640 of 95995 articles

Assessing the Outbreak Risk of Epidemics Using Fuzzy Evidential Reasoning.

Risk analysis : an official publication of the Society for Risk Analysis
Epidemic diseases (EDs) present a significant but challenging risk endangering public health, evidenced by the outbreak of COVID-19. Compared to other risks affecting public health such as flooding, EDs attract little attention in terms of risk asses...

Hybrid memristor-CMOS neurons for in-situ learning in fully hardware memristive spiking neural networks.

Science bulletin
Spiking neural network, inspired by the human brain, consisting of spiking neurons and plastic synapses, is a promising solution for highly efficient data processing in neuromorphic computing. Recently, memristor-based neurons and synapses are becomi...

Physiological machine learning models for prediction of sepsis in hospitalized adults: An integrative review.

Intensive & critical care nursing
BACKGROUND: Diagnosing sepsis remains challenging. Data compiled from continuous monitoring and electronic health records allow for new opportunities to compute predictions based on machine learning techniques. There has been a lack of consensus iden...

Using a Deep Learning Method and Data from Two-Dimensional (2D) Marker-Less Video-Based Images for Walking Speed Classification.

Sensors (Basel, Switzerland)
Human body measurement data related to walking can characterize functional movement and thereby become an important tool for health assessment. Single-camera-captured two-dimensional (2D) image sequences of marker-less walking individuals might be a ...

Robotic versus laparoscopic total mesorectal excision for rectal cancer: a meta-analysis of long-term survival and urogenital functional outcomes.

Minerva gastroenterology
INTRODUCTION: Robotic surgical technology has been widely introduced and applied in various fields of surgery. The aim of this study was to analyze long-term oncological and urogenital functional outcomes following laparoscopic/robotic total mesorect...

Robotic assistive and rehabilitation devices leading to motor recovery in upper limb: a systematic review.

Disability and rehabilitation. Assistive technology
PURPOSE: Stroke, spinal cord injury and other neuromuscular disorders lead to impairments in the human body. Upper limb impairments, especially hand impairments affect activities of daily living (ADL) and reduce the quality of life. The purpose of th...

Facial Emotions Are Accurately Encoded in the Neural Signal of Those With Autism Spectrum Disorder: A Deep Learning Approach.

Biological psychiatry. Cognitive neuroscience and neuroimaging
BACKGROUND: Individuals with autism spectrum disorder (ASD) exhibit frequent behavioral deficits in facial emotion recognition (FER). It remains unknown whether these deficits arise because facial emotion information is not encoded in their neural si...

Harnessing artificial intelligence in cardiac rehabilitation, a systematic review.

Future cardiology
This systematic review aims to evaluate the current body of research surrounding the efficacy of artificial intelligence (AI) in cardiac rehabilitation. Presently, AI can be incorporated into personal devices such as smart watches and smartphones, i...