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Alternative Medicine

Latest AI and machine learning research in alternative medicine for healthcare professionals.

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Transparent Photovoltaics for Self-Powered Bioelectronics and Neuromorphic Applications.

Inspired by the brain, future computation depends on creating a neuromorphic device that is energy-e...

Event parsing and the origins of grammar.

How did grammar evolve? Perhaps a better way to ask the question is what kind of cognition is needed...

A convolutional deep learning model for improving mammographic breast-microcalcification diagnosis.

This study aimed to assess the diagnostic performance of deep convolutional neural networks (DCNNs) ...

Development of novel robotic platforms for mechanical stress induction, and their effects on plant morphology, elements, and metabolism.

This research evaluates the effect on herbal crops of mechanical stress induced by two specially dev...

Machine Learning Approaches in Traditional Chinese Medicine: A Systematic Review.

Machine learning (ML), as a branch of artificial intelligence, acquires the potential and meaningful...

MAGIC: Manifold and Graph Integrative Convolutional Network for Low-Dose CT Reconstruction.

Low-dose computed tomography (LDCT) scans, which can effectively alleviate the radiation problem, wi...

Assessment of the Cytotoxic Activity of Alcoholic Extract of on Breast Cancer Cell Line.

The spread of different types of cancer has been on a rise in the recent century. The use of chemica...

Using systems thinking methodologies to address health care complexities and evidence implementation.

BACKGROUND: Despite health care advances, artificial intelligence and government interventions aimin...

Do People Trust in Robot-Assisted Surgery? Evidence from Europe.

(1) Background: The goal of the paper was to establish the factors that influence how people feel ab...

A deep learning approach in automated detection of schizophrenia using scalogram images of EEG signals.

This study presents a method with high accuracy performance that aims to automatically detect schizo...

Non-human primate epidural ECoG analysis using explainable deep learning technology.

With the development in the field of neural networks,(XAI), is being studied to ensure that artifici...

Executive summary of the artificial intelligence in surgery series.

As opportunities for artificial intelligence to augment surgical care expand, the accompanying surge...

MARnet: multi-scale adaptive residual neural network for chest X-ray images recognition of lung diseases.

Chest X-ray image is an important clinical diagnostic reference to lung diseases that is a serious t...

Rapid identification of ore minerals using multi-scale dilated convolutional attention network associated with portable Raman spectroscopy.

Electron portable Raman spectroscopy tools for ore mineral identification are widely used in raw ore...

What will we ask to artificial intelligence for cardiovascular medicine in the next decade?

Artificial intelligence (AI) comprises a wide range of technologies and methods with heterogeneous d...

PSCNN: PatchShuffle Convolutional Neural Network for COVID-19 Explainable Diagnosis.

COVID-19 is a sort of infectious disease caused by a new strain of coronavirus. This study aims to ...

Disease variant prediction with deep generative models of evolutionary data.

Quantifying the pathogenicity of protein variants in human disease-related genes would have a marked...

Level 2a evidence comparing robotic versus laparoscopic left lateral hepatic sectionectomy: a meta-analysis.

OBJECTIVES: To evaluate comparative outcomes of robotic and laparoscopic left lateral hepatic sectio...

Reinforcing bar development length modeling using integrative support vector regression model with response surface method: New approach.

Due to the non-uniformity of bond stress distribution, the full bar development length should be tes...

Can artificial intelligence replace ultrasound as a complementary tool to mammogram for the diagnosis of the breast cancer?

OBJECTIVE: To study the impact of artificial intelligence (AI) on the performance of mammogram with ...

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