Alternative Medicine

Letter to the Editor Regarding "The Artificial Intelligence Revolution in Stroke Care: A Decade of Scientific Evidence in Review".

Automatic Classification of Wound Images Showing Healing Complications: Towards an Optimised Approach for Detecting Maceration.

This study aims to advance the field of digital wound care by developing and evaluating convolutiona...

Artificial intelligence software for analysing chest X-ray images to identify suspected lung cancer: an evidence synthesis early value assessment.

BACKGROUND: Lung cancer is one of the most common types of cancer in the United Kingdom. It is often...

BioImage.IO Chatbot: a community-driven AI assistant for integrative computational bioimaging.

Clinical Evaluation of Artificial Intelligence-Enabled Interventions.

Artificial intelligence (AI) health technologies are increasingly available for use in real-world ca...

Explainable Multimodal Deep Learning for Heart Sounds and Electrocardiogram Classification.

We introduce a Gradient-weighted Class Activation Mapping (Grad-CAM) methodology to assess the perfo...

Artificial intelligence to unlock real-world evidence in clinical oncology: A primer on recent advances.

PURPOSE: Real world evidence is crucial to understanding the diffusion of new oncologic therapies, m...

DeepIDA-GRU: a deep learning pipeline for integrative discriminant analysis of cross-sectional and longitudinal multiview data with applications to inflammatory bowel disease classification.

Biomedical research now commonly integrates diverse data types or views from the same individuals to...

Retinal Fractal Dimension Is a Potential Biomarker for Systemic Health-Evidence From a Mixed-Age, Primary-Care Population.

PURPOSE: To investigate whether fractal dimension (FD), a retinal trait relating to vascular complex...

Letter to the Editor Regarding "The Artificial Intelligence Revolution in Stroke Care: A Decade of Scientific Evidence in Review".

Artificial Intelligence and Acupuncture: A Data-Driven Synergy.

spatiAlign: an unsupervised contrastive learning model for data integration of spatially resolved transcriptomics.

BACKGROUND: Integrative analysis of spatially resolved transcriptomics datasets empowers a deeper un...

A Comprehensive System for Searching and Evaluating Genomic Variant Evidence Using AI and Knowledge Bases to Support Personalized Medicine.

We introduce an innovative automated system for the search and assessment of genetic variant evidenc...

A Hybrid 2D Gaussian Filter and Deep Learning Approach with Visualization of Class Activation for Automatic Lung and Colon Cancer Diagnosis.

Cancer is a significant public health issue due to its high prevalence and lethality, particularly l...

Navigating the Intersection of Technology and Depression Precision Medicine.

This chapter primarily focuses on the progress in depression precision medicine with specific emphas...

Effect of acupuncture combined with lower limb gait rehabilitation robot on improving walking function in stroke patients with hemiplegia.

BACKGROUND: No study has yet demonstrated the effect of lower limb gait rehabilitation robot treatme...

The Diagnostic Features of Peripheral Blood Biomarkers in Identifying Osteoarthritis Individuals: Machine Learning Strategies and Clinical Evidence.

BACKGROUND: People with osteoarthritis place a huge burden on society. Early diagnosis is essential ...

Think "HER2" different: integrative diagnostic approaches for HER2-low breast cancer.

This work explores the complex field of HER2 testing in the HER2-low breast cancer era, with a focus...

Revolutionizing Biological Science: The Synergy of Genomics in Health, Bioinformatics, Agriculture, and Artificial Intelligence.

With climate emergency, COVID-19, and the rise of planetary health scholarship, the binary of human ...

Two complementary AI approaches for predicting UMLS semantic group assignment: heuristic reasoning and deep learning.

OBJECTIVE: Use heuristic, deep learning (DL), and hybrid AI methods to predict semantic group (SG) a...

Retroperitoneal approach for robot-assisted partial nephrectomy: still underused despite the supporting evidence.