Alternative Medicine

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 assist doctors in developing personalized surgical plans during surgery, thereby improving the prognosis. Raman spectroscopy is an optical method for real-time glioma diagnosis. However, high-grade glioma (HGG, WHO grades III and IV), low-grade glioma (LGG, WHO grades I and II) and normal tissue ha...

[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, provided objective and visualized technical tools for analyzing the brain effect mechanisms of acupuncture and moxibustion from the perspectives of brain structure, function, metabolism, and hemodynamics. The advancement of artificial intelligence (AI) algorithms can compensate for issues such as the l...

ICH-PRNet: a cross-modal intracerebral haemorrhage prognostic prediction method using joint-attention interaction mechanism.

Accurately predicting intracerebral hemorrhage (ICH) prognosis is a critical and indispensable step in the clinical management of patients post-ICH. R...

Interpretable deep learning for acoustic leak detection in water distribution systems.

Leak detection is crucial for ensuring the safety of water systems and conserving water resources. However, current research on machine learning metho...

Whither bias goes, I will go: An integrative, systematic review of algorithmic bias mitigation.

Machine learning (ML) models are increasingly used for personnel assessment and selection (e.g., resume screeners, automatically scored interviews). H...

Multi-modal cross-domain self-supervised pre-training for fMRI and EEG fusion.

Neuroimaging techniques including functional magnetic resonance imaging (fMRI) and electroencephalogram (EEG) have shown promise in detecting function...

Catalpol promotes hippocampal neurogenesis and synaptogenesis in rats after multiple cerebral infarctions by mitochondrial regulation: involvement of the Shh signaling pathway.

INTRODUCTION: Ischemic stroke greatly threatens human life and health. Neuro-restoration is considered to be the critical points in reestablishing neu...

CMFX: Cross-modal fusion network for RGB-X crowd counting.

Currently, for obtaining more accurate counts, existing methods primarily utilize RGB images combined with features of complementary modality (X-modal...

Leveraging compact convolutional transformers for enhanced COVID-19 detection in chest X-rays: a grad-CAM visualization approach.

Ethical Application of Generative Artificial Intelligence in Medicine.

Generative artificial intelligence (AI) may revolutionize health care, providing solutions that range from enhancing diagnostic accuracy to personaliz...

Antibacterial Activity of Crude , , and Methanolic Extracts on serovar Manilae.

BACKGROUND AND OBJECTIVE: Leptospirosis is a disease caused by pathogenic prevalent in tropical countries like the Philippines. Some studies have sho...

Acupuncture and moxibustion as adjunctive therapy for postoperative gastrointestinal dysfunction in gastric cancer: a systematic review and network meta-analysis.

OBJECTIVES: This study aimed to evaluate and compare the efficacy and safety of different acupuncture and moxibustion techniques as adjunctive therapy...

[Current status and outlooks of acupuncture research driven by machine learning].

The machine learning is used increasingly and widely in acupuncture prescription optimization, intelligent treatment and precision medicine, and has o...

Rapid diagnosis of bacterial vaginosis using machine-learning-assisted surface-enhanced Raman spectroscopy of human vaginal fluids.

UNLABELLED: Bacterial vaginosis (BV) is an abnormal gynecological condition caused by the overgrowth of specific bacteria in the vagina. This study ai...

When the bot walks the talk: Investigating the foundations of trust in an artificial intelligence (AI) chatbot.

The concept of trust in artificial intelligence (AI) has been gaining increasing relevance for understanding and shaping human interaction with AI sys...

Deep learning versus human assessors: forensic sex estimation from three-dimensional computed tomography scans.

Cranial sex estimation often relies on visual assessments made by a forensic anthropologist following published standards. However, these methods are ...

Annotation Practices in Computational Pathology: A European Society of Digital and Integrative Pathology (ESDIP) Survey Study.

Integrating digital pathology and artificial intelligence (AI) algorithms can potentially improve diagnostic practice and precision medicine. Developi...

Unlocking biological complexity: the role of machine learning in integrative multi-omics.

The increasing complexity of biological systems demands advanced analytical approaches to decode the underlying mechanisms of health and disease. Inte...

AI in oral medicine: is the future already here? A literature review.

Objective Artificial intelligence (AI) is reshaping many healthcare disciplines, mainly with newly developed computer systems or machines that have th...

Data Ownership in the AI-Powered Integrative Health Care Landscape.

In the rapidly advancing landscape of artificial intelligence (AI) within integrative health care (IHC), the issue of data ownership has become pivota...