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Alternative Medicine

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

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Showing 148-168 of 2,087 articles
Interpretable machine learning method to predict the risk of pre-diabetes using a national-wide cross-sectional data: evidence from CHNS.

OBJECTIVE: The incidence of Type 2 Diabetes Mellitus (T2DM) continues to rise steadily, significantl...

Accuracy of LLMs in medical education: evidence from a concordance test with medical teacher.

BACKGROUND: There is an unprecedented increase in the use of Generative AI in medical education. The...

Mpox-XDE: an ensemble model utilizing deep CNN and explainable AI for monkeypox detection and classification.

The daily surge in cases in many nations has made the growing number of human monkeypox (Mpox) cases...

Psychometric properties and Turkish adaptation of the artificial intelligence attitude scale (AIAS-4): evidence for construct validity.

Artificial intelligence (AI) attitude scales can be used to better evaluate the benefit and drawback...

Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis.

OBJECTIVE: This study reviewed the current state of machine learning (ML) research for the predictio...

Optimizing skin cancer screening with convolutional neural networks in smart healthcare systems.

Skin cancer is among the most prevalent types of malignancy all over the global and is strongly asso...

Enhanced tuberculosis detection using Vision Transformers and explainable AI with a Grad-CAM approach on chest X-rays.

Tuberculosis (TB), caused by Mycobacterium tuberculosis, remains a leading global health challenge, ...

Generating accurate sex estimation from hand X-ray images using AI deep-learning techniques: A study of limited bone regions.

Hand bone structure provides valuable features for sex estimation. This research introduces a novel ...

Developing a deep learning model for the automated monitoring of acupuncture needle insertion: enhancing safety in traditional acupuncture practices.

BACKGROUND: Acupuncture is a widely practiced traditional therapy, yet safety concerns, particularly...

Liver lesion segmentation in ultrasound: A benchmark and a baseline network.

Accurate liver lesion segmentation in ultrasound is a challenging task due to high speckle noise, am...

Surface-Induced Unfolding Reveals Unique Structural Features and Enhances Machine Learning Classification Models.

Native ion mobility-mass spectrometry combined with collision-induced unfolding (CIU) is a powerful ...

A network toxicology and machine learning approach to investigate the mechanism of kidney injury from melamine and cyanuric acid co-exposure.

BACKGROUND: Within the past two decades, high-profile cases of melamine (MA) exposure have raised si...

Exploring the significance of the frontal lobe for diagnosis of schizophrenia using explainable artificial intelligence and group level analysis.

Schizophrenia (SZ) is a complex mental disorder characterized by a profound disruption in cognition ...

Thermal Adaptation of Cytosolic Malate Dehydrogenase Revealed by Deep Learning and Coevolutionary Analysis.

Protein evolution has shaped enzymes that maintain stability and function across diverse thermal env...

MuCST: restoring and integrating heterogeneous morphology images and spatial transcriptomics data with contrastive learning.

Spatially resolved transcriptomics (SRT) simultaneously measure spatial location, histology images, ...

Leveraging AlphaFold models to predict androgenic effects of endocrine-disrupting chemicals through zebrafish androgen receptor analysis.

The androgen receptor (AR) activation by androgens is vital for tissue development, sexual different...

The dawn of the revolution that will allow us to precisely describe how microbiomes function.

The community of microorganisms inhabiting a specific environment, such as the human gut - including...

Elucidating the role of KCTD10 in coronary atherosclerosis: Harnessing bioinformatics and machine learning to advance understanding.

Atherosclerosis (AS) is increasingly recognized as a chronic inflammatory disease that significantly...

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