Alternative Medicine

Gating Attractor Dynamics of Frontal Cortex Under Acupuncture via Recurrent Neural Network.

Acupuncture can regulate the functions of human body and improve the cognition of brain. However, th...

Accurate assessment of the lung sliding artefact on lung ultrasonography using a deep learning approach.

Pneumothorax is a potentially life-threatening condition that can be rapidly and accurately assessed...

A multitask deep learning approach for pulmonary embolism detection and identification.

Pulmonary embolism (PE) is a blood clot traveling to the lungs and is associated with substantial mo...

Explaining One-Dimensional Convolutional Models in Human Activity Recognition and Biometric Identification Tasks.

Due to wearables' popularity, human activity recognition (HAR) plays a significant role in people's ...

Argument mining as rapid screening tool of COVID-19 literature quality: Preliminary evidence.

BACKGROUND: The COVID-19 pandemic prompted the scientific community to share timely evidence, also i...

Mapping the evidence on identity processes and identity-related interventions in the smoking and physical activity domains: a scoping review protocol.

INTRODUCTION: Smoking and insufficient physical activity (PA), independently but especially in conju...

Prediction of postoperative cardiac events in multiple surgical cohorts using a multimodal and integrative decision support system.

Postoperative patients are at risk of life-threatening complications such as hemodynamic decompensat...

Electrocardiogram analysis of post-stroke elderly people using one-dimensional convolutional neural network model with gradient-weighted class activation mapping.

Stroke is the second leading cause of death globally after ischemic heart disease, also a risk facto...

The "Natural History" of Evidence on Radical Prostatectomy: What Have 20 Years of Robots Given Us?

Diverse pressures and influences have determined these two decades of radical prostatectomy history....

Re: Caelán Max Haney, Maximilian C. Kriegmair, Maurice Stephan Michel, Jens-Uwe Stolzenburg, Karl-Friedrich Kowalewski. New Evidence and Innovative Approaches to Blinding in Robot-assisted Radical Cystectomy. Eur Urol. 2022;81:615-617.

CAM-Wnet: An effective solution for accurate pulmonary embolism segmentation.

BACKGROUND: The morbidity of pulmonary embolism (PE) is only lower than that of coronary heart disea...

Structure of cytoplasmic ring of nuclear pore complex by integrative cryo-EM and AlphaFold.

INTRODUCTION The nuclear pore complex (NPC) is the molecular conduit in the nuclear membrane of euka...

Using forensic analytics and machine learning to detect bribe payments in regime-switching environments: Evidence from the India demonetization.

We use a rich set of transaction data from a large retailer in India and a dataset on bribe payments...

Deep learning models of cognitive processes constrained by human brain connectomes.

Decoding cognitive processes from recordings of brain activity has been an active topic in neuroscie...

Intracerebral hemorrhage detection on computed tomography images using a residual neural network.

Intracerebral hemorrhage (ICH) is a high mortality rate, critical medical injury, produced by the ru...

HDI Highlighter, The First Intelligent Tool to Screen the Literature on Herb-Drug Interactions.

Herbal food supplements are commonly used and can be an important part of patient self-care. Like al...

In silico prediction of potential drug-induced nephrotoxicity with machine learning methods.

In recent years, drug-induced nephrotoxicity has been one of the main reasons for the failure of dru...

Clinical Applications of Artificial Intelligence in Gastroenterology: Excitement and Evidence.

Context-Aware Multi-Scale Aggregation Network for Congested Crowd Counting.

In this paper, we propose a context-aware multi-scale aggregation network named CMSNet for dense cro...

How does artificial intelligence affect green economic growth?-Evidence from China.

As the driving force behind the new wave of technological advancement, artificial intelligence (AI) ...

DeepBtoD: Improved RNA-binding proteins prediction via integrated deep learning.

RNA-binding proteins (RBPs) have crucial roles in various cellular processes such as alternative spl...