AIMC Topic: Humans

Clear Filters Showing 40371 to 40380 of 95995 articles

Improved Classification Approach for Fruits and Vegetables Freshness Based on Deep Learning.

Sensors (Basel, Switzerland)
Classification of fruit and vegetable freshness plays an essential role in the food industry. Freshness is a fundamental measure of fruit and vegetable quality that directly affects the physical health and purchasing motivation of consumers. In addit...

Application of Deep Convolutional Neural Networks in the Diagnosis of Osteoporosis.

Sensors (Basel, Switzerland)
The aim of this study was to assess the possibility of using deep convolutional neural networks (DCNNs) to develop an effective method for diagnosing osteoporosis based on CT images of the spine. The research material included the CT images of L1 spo...

Predicting Chemical Carcinogens Using a Hybrid Neural Network Deep Learning Method.

Sensors (Basel, Switzerland)
Determining environmental chemical carcinogenicity is urgently needed as humans are increasingly exposed to these chemicals. In this study, we developed a hybrid neural network (HNN) method called HNN-Cancer to predict potential carcinogens of real-l...

Understanding basic principles of Artificial Intelligence: a practical guide for intensivists.

Acta bio-medica : Atenei Parmensis
BACKGROUND AND AIM: Artificial intelligence was born to allow computers to learn and control their environment, trying to imitate the human brain structure by simulating its biological evolution. Artificial intelligence makes it possible to analyze l...

Deep learning-based diagnosis of Alzheimer's disease using brain magnetic resonance images: an empirical study.

Scientific reports
The limited accessibility of medical specialists for Alzheimer's disease (AD) can make obtaining an accurate diagnosis in a timely manner challenging and may influence prognosis. We investigated whether VUNO Med-DeepBrain AD (DBAD) using a deep learn...

Artificial intelligence-based methods for fusion of electronic health records and imaging data.

Scientific reports
Healthcare data are inherently multimodal, including electronic health records (EHR), medical images, and multi-omics data. Combining these multimodal data sources contributes to a better understanding of human health and provides optimal personalize...

Feasibility of transthoracic esophagectomy with a next-generation surgical robot.

Scientific reports
Robot-assisted minimal access surgery (MAS), compared with conventional MAS, has shown a number of benefits across several therapeutic indications but its use for transthoracic esophagectomy (TTE) requires further evaluation. Here, we report the firs...

Joint Interaction and Mutual Understanding in Social Robotics.

Science and engineering ethics
Social robotics aims at designing robots capable of joint interaction with humans. On a conceptual level, sufficient mutual understanding is usually said to be a necessary condition for joint interaction. Against this background, the following questi...

Investigation of the Binding Fraction of PFAS in Human Plasma and Underlying Mechanisms Based on Machine Learning and Molecular Dynamics Simulation.

Environmental science & technology
More than 7000 per- and polyfluorinated alkyl substances (PFAS) have been documented in the U.S. Environmental Protection Agency's CompTox Chemicals database. These PFAS can be used in a broad range of industrial and consumer applications but may pos...