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Alternative Medicine

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

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Showing 22-42 of 2,087 articles
A novel hybrid convolutional and transformer network for lymphoma classification.

Lymphoma poses a critical health challenge worldwide, demanding computer aided solutions towards dia...

Scientific literature on carbon dioxide removal revealed as much larger through AI-enhanced systematic mapping.

Carbon dioxide removal plays an important role in any strategy to limit global warming to well below...

Toward automatic and reliable evaluation of human gastric motility using magnetically controlled capsule endoscope and deep learning.

In this paper, we develop a combination of algorithms, including camera motion detector (CMD), deep ...

Identification of CTSK as a TLR-related critical biomarker in liver cirrhosis via integrative bioinformatics and pathological characterization.

Liver cirrhosis (LC) is a common chronic disease worldwide with a poor prognosis, and its pathogenes...

FLPneXAINet: Federated deep learning and explainable AI for improved pneumonia prediction utilizing GAN-augmented chest X-ray data.

Pneumonia, a severe lung infection caused by various viruses, presents significant challenges in dia...

Identification and validation of epithelial‑mesenchymal transition‑related genes for diabetic nephropathy by WGCNA and machine learning.

Diabetic nephropathy (DN) is the main cause of end‑stage renal disease, with epithelial‑mesenchymal ...

BDHerbalPlants: augmented and curated herbal plants image dataset for classification.

This extensive dataset of herbal plants can be highly beneficial for the potential development of ag...

Semi-supervised Medical Image Segmentation Using Heterogeneous Complementary Correction Network and Confidence Contrastive Learning.

Semi-supervised medical image segmentation techniques have demonstrated significant potential and ef...

Comprehensive multi-omics and machine learning framework for glioma subtyping and precision therapeutics.

Glioma is a highly heterogeneous and aggressive brain tumour that demands an integrated understandin...

Integrative multimodal ultrasound and radiomics for early prediction of neoadjuvant therapy response in breast cancer: a clinical study.

PURPOSE: This study aimed to develop an early predictive model for neoadjuvant therapy (NAT) respons...

Deep learning diagnosis plus kinematic severity assessments of neurodivergent disorders.

Early diagnostic assessments of neurodivergent disorders (NDD), remains a major clinical challenge. ...

Validation of The Umbrella Collaboration for Tertiary Evidence Synthesis in Geriatrics: Mixed Methods Study.

BACKGROUND: The synthesis of evidence in health care is essential for informed decision-making and p...

Foundation models for radiology: fundamentals, applications, opportunities, challenges, risks, and prospects.

Foundation models (FMs) represent a significant evolution in artificial intelligence (AI), impacting...

Carbon co-benefits of digital economy and green finance: empirical evidence from China.

Addressing the carbon co-benefits of policy tools requires simultaneous improvements in both the qua...

Mapping the Conformational Heterogeneity Intrinsic to the Protein Native Ensemble.

In the AlphaFold era, there is a significant momentum in predicting protein structures, functionalit...

Neural evidence for attentional resource allocation to postural control using body brain imaging.

OBJECTIVE: To examine whether bipedal stance (quiet standing) requires more attentional resources th...

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