Primary Care

Alternative Medicine

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

2,087 articles
Stay Ahead - Weekly Alternative Medicine research updates
Subscribe
Browse Specialties
Showing 190-210 of 2,087 articles
Judges versus artificial intelligence in juror decision-making in criminal trials: Evidence from two pre-registered experiments.

BACKGROUND: Artificial intelligence (AI) is anticipated to play a significant role in criminal trial...

Alzheimer's disease: an integrative bioinformatics and machine learning analysis reveals glutamine metabolism-associated gene biomarkers.

BACKGROUND: Alzheimer's disease (AD), a hallmark of age-related cognitive decline, is defined by its...

Differentiation of Citri Reticulatae Pericarpium varieties via HPLC fingerprinting of polysaccharides combined with machine learning.

To accurately and reliably distinguish different varieties of Citri Reticulatae Pericarpium (CRP), w...

The use of multiple evidence base methods to enrich climate change research and knowledge in the Arctic.

Indigenous and local knowledge (ILK) is increasingly used along with scientific knowledge (SK) to un...

Comment on 'CAM-QUS guided self-tuning modular CNNs with multi-loss functions for fully automated breast lesion classification in ultrasound images'.

An analysis of the methodology used by the authors of the commented article is presented and errors ...

An interpretable multi-scale convolutional attention residual neural network for glioma grading with Raman spectroscopy.

Since the malignancy of gliomas varies with their grade, classifying gliomas of different grades can...

Subway opening enables urban green development: Evidence from difference-in-differences and double dual machine learning methods.

Urban rail transport is an important part of transport infrastructure, which is significant in empow...

A neuromechanics solution for adjustable robot compliance and accuracy.

Robots have to adjust their motor behavior to changing environments and variable task requirements t...

[Application and considerations of artificial intelligence and neuroimaging in the study of brain effect mechanisms of acupuncture and moxibustion].

Electroencephalography (EEG) and magnetic resonance imaging (MRI), as neuroimaging technologies, pro...

Predicting stunting status among under-5 children in Rwanda using neural network model: Evidence from 2020 Rwanda demographic and health survey.

BACKGROUND: Stunting is a serious public health concern in Rwanda, affecting around 33.3% of childre...

The role of large language models in the peer-review process: opportunities and challenges for medical journal reviewers and editors.

The peer review process ensures the integrity of scientific research. This is particularly important...

Exploring the triglyceride-glucose index's role in depression and cognitive dysfunction: Evidence from NHANES with machine learning support.

BACKGROUND: Depression and cognitive impairments are prevalent among older adults, with evidence sug...

Integrative machine learning frameworks to uncover specific protein signature in neuroendocrine cervical carcinoma.

OBJECTIVE: Neuroendocrine cervical carcinoma (NECC) is a rare but highly aggressive tumor. The clini...

Transforming undergraduate dental education: the impact of artificial intelligence.

Artificial intelligence (AI) is a rapidly evolving area, having had a transformative effect within s...

A comprehensive retrospect on the current perspectives and future prospects of pneumoconiosis.

Pneumoconiosis is a widespread occupational pulmonary disease caused by inhalation and retention of ...

Phenotypic antibiotic resistance prediction using antibiotic resistance genes and machine learning models in Mannheimia haemolytica.

Mannheimia haemolytica is one of the most common causative agents of bovine respiratory disease (BRD...

Utilizing Feature Selection Techniques for AI-Driven Tumor Subtype Classification: Enhancing Precision in Cancer Diagnostics.

Cancer's heterogeneity presents significant challenges in accurate diagnosis and effective treatment...

Browse Specialties