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Alternative Medicine

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

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Characterization of phenolic compounds and aroma active compounds in feijoa juice from four New Zealand grown cultivars by LC-MS and HS-SPME-GC-O-MS.

The phenolic compounds and aroma active compounds in feijoa (Acca sellowiana (O.Berg) Burret) juice ...

Digital transformation of academic medicine: Breaking barriers, borders, and boredom.

Academic medicine is experiencing an exponential increase in knowledge, evidenced by approximately 2...

Trust Me, I'm a Chatbot: How Artificial Intelligence in Health Care Fails the Turing Test.

Over the next decade, one issue which will dominate sociotechnical studies in health informatics is ...

A complementary learning systems approach to temporal difference learning.

Complementary Learning Systems (CLS) theory suggests that the brain uses a 'neocortical' and a 'hipp...

MediMLP: Using Grad-CAM to Extract Crucial Variables for Lung Cancer Postoperative Complication Prediction.

Lung cancer postoperative complication prediction (PCP) is significant for decreasing the perioperat...

Predictors of adherence to nicotine replacement therapy: Machine learning evidence that perceived need predicts medication use.

BACKGROUND: Nonadherence to smoking cessation medication is a frequent problem. Identifying pre-quit...

Visual Evoked Response Modulation Occurs in a Complementary Manner Under Dynamic Circuit Framework.

The steady-state visual-evoked potential (SSVEP) induced by the periodic visual stimulus plays an im...

Predicting the Debonding of CAD/CAM Composite Resin Crowns with AI.

A preventive measure for debonding has not been established and is highly desirable to improve the s...

Beyond the hype of big data and artificial intelligence: building foundations for knowledge and wisdom.

Big data, coupled with the use of advanced analytical approaches, such as artificial intelligence (A...

Neural Multimodal Cooperative Learning Toward Micro-Video Understanding.

The prevailing characteristics of micro-videos result in the less descriptive power of each modality...

A question of trust: can we build an evidence base to gain trust in systematic review automation technologies?

BACKGROUND: Although many aspects of systematic reviews use computational tools, systematic reviewer...

Machine-learning to stratify diabetic patients using novel cardiac biomarkers and integrative genomics.

BACKGROUND: Diabetes mellitus is a chronic disease that impacts an increasing percentage of people e...

Insights and approaches using deep learning to classify wildlife.

The implementation of intelligent software to identify and classify objects and individuals in visua...

Drug repositioning of herbal compounds via a machine-learning approach.

BACKGROUND: Drug repositioning, also known as drug repurposing, defines new indications for existing...

Multivariate resting-state functional connectivity predicts responses to real and sham acupuncture treatment in chronic low back pain.

Despite the high prevalence and socioeconomic impact of chronic low back pain (cLBP), treatments for...

How do "robopets" impact the health and well-being of residents in care homes? A systematic review of qualitative and quantitative evidence.

BACKGROUND: Robopets are small animal-like robots which have the appearance and behavioural characte...

The use of robots and other automated devices in nurses' work: An integrative review.

BACKGROUND: Future nursing shortages and advanced technological developments mean that robots and au...

The Big Picture on the "AI Turn" for Digital Health: The Internet of Things and Cyber-Physical Systems.

This article offers an analysis of the ways in which digital health innovations are being coproduced...

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