Alternative Medicine

Exploring supervised machine learning approaches to predicting Veterans Health Administration chiropractic service utilization.

BACKGROUND: Chronic spinal pain conditions affect millions of US adults and carry a high healthcare cost burden, both direct and indirect. Conservative interventions for spinal pain conditions, including chiropractic care, have been associated with lower healthcare costs and improvements in pain status in different clinical populations, including veterans. Little is currently known about predictin...

Anatomical pathology (human structural biopathology) in the era of "Big Data", digitalization, 5G and artificial intelligence: Evolution or Revolution?

A proposal of an updated system of the Organization of Scientific Biomedical Kowledge is presented, integrating the historical achievements in pathology from the 15 to the 21 century. Scientific understanding of disease (Human Biopathology) is actually acquired at consecutive levels: 1) Etiopathogenic, 2) Structural, 3) Physiopathological, and 4) Clinical. A complete spectrum of etiological factor...

Deep Multi-Scale Fusion Neural Network for Multi-Class Arrhythmia Detection.

Automated electrocardiogram (ECG) analysis for arrhythmia detection plays a critical role in early prevention and diagnosis of cardiovascular diseases...

Identification of herbal categories active in pain disorder subtypes by machine learning help reveal novel molecular mechanisms of algesia.

Chronic pain is highly prevalent and poorly controlled, of which the accurate underlying mechanisms need be further elucidated. Herbal drugs have been...

Artificial intelligence and machine learning in respiratory medicine.

: The application of artificial intelligence (AI) and machine learning (ML) in medicine and in particular in respiratory medicine is an increasingly r...

Exploring the effect of hypertension on retinal microvasculature using deep learning on East Asian population.

Hypertension is the leading risk factor of cardiovascular disease and has profound effects on both the structure and function of the microvasculature....

GP-CNN-DTEL: Global-Part CNN Model With Data-Transformed Ensemble Learning for Skin Lesion Classification.

Precise skin lesion classification is still challenging due to two problems, i.e., (1) inter-class similarity and intra-class variation of skin lesion...

scAI: an unsupervised approach for the integrative analysis of parallel single-cell transcriptomic and epigenomic profiles.

Simultaneous measurements of transcriptomic and epigenomic profiles in the same individual cells provide an unprecedented opportunity to understand ce...

Semi-Automated evidence synthesis in health psychology: current methods and future prospects.

The evidence base in health psychology is vast and growing rapidly. These factors make it difficult (and sometimes practically impossible) to consider...

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 from four New Zealand grown cultivars (Apollo, Uni...

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

Academic medicine is experiencing an exponential increase in knowledge, evidenced by approximately 2.5 million new articles published each year. As a ...

A complementary learning systems approach to temporal difference learning.

Complementary Learning Systems (CLS) theory suggests that the brain uses a 'neocortical' and a 'hippocampal' learning system to achieve complex behavi...

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 perioperative mortality rate after lung cancer surgery. In t...

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 important role in vision research. An increasing num...

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 survival rate of computer-aided design/computer-aid...

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 (AI), have the potential to improve medical outcomes...

Neural Multimodal Cooperative Learning Toward Micro-Video Understanding.

The prevailing characteristics of micro-videos result in the less descriptive power of each modality. The micro-video representations, several pioneer...

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 each year. Among its comorbidities, diabetics are t...

Insights and approaches using deep learning to classify wildlife.

The implementation of intelligent software to identify and classify objects and individuals in visual fields is a technology of growing importance to ...

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

BACKGROUND: Drug repositioning, also known as drug repurposing, defines new indications for existing drugs and can be used as an alternative to drug d...