Alternative Medicine

Cardiopulmonary exercise testing in contemporary cardiology: physiological insights, novel applications and evolving algorithms.

Cardiopulmonary exercise testing (CPET) allows for the study of the pathophysiology of exercise intolerance through assessment of exercise integrative physiology of the pulmonary, cardiovascular, muscular and cellular oxidative systems. Over the years, key gas exchange variables have shown a role in the interpretative translation of physiology to clinical decision making. CPET is a standard when a...

Fundamentals of big data and artificial intelligence in transfusion medicine.

Within the digital transformation of medicine, transfusion medicine has quietly become a big-data discipline. The long-standing tradition of blood product standardization (e.g., ISBT-128) and large donor cohorts being followed over years-some of which are sampled in national biobank projects, build a favourable setting. In parallel, recent advances in artificial intelligence (AI) and data integrat...

The role of artificial intelligence in virtual emergency care: a systematic review.

BACKGROUND: The integration of artificial intelligence (AI) into virtual emergency care represents a potentially transformative approach to healthcare...

Reusing health records from farm animal practices at scale: A potential complementary method of surveillance.

BACKGROUND: Disease in primary care frequently represents a surveillance blind spot, particularly for diseases affecting farm animals. METHODS: Electr...

Creativity as a core competency in medical education: the art of medicine.

As medical education increasingly prioritises standardisation and algorithmic decision-making, the qualities that define the 'art' of medicine-improvi...

Toxic chinese herbal medicine recognition in real-world images via multi-scale and attention-enhanced EfficientNetV2.

Accurate identification of toxic Chinese herbal medicines is critical for public health and clinical safety. However, real-world herbal images often e...

White blood cell classification using custom deep neural network and visualizing features of the images using heatmaps.

Blood count is a key method for diagnosing diseases by analyzing blood cell images using advanced equipment. Traditionally, this process involves inva...

Multiview 2.5D Deep Learning Outperforms 2D and 3D Models for Preoperative Prediction of Visceral Pleural Invasion in Stage IA Lung Adenocarcinoma.

OBJECTIVE: This study evaluated the predictive performance of 2 novel 2.5-dimensional (2.5D) deep learning (DL) models for visceral pleural invasion (...

Explainable VGG16 transfer learning with SHAP and grad-CAM for wax moth pest and infestation detection in honeybee apiaries using imaging data.

Unraveling the diagnostic and prognostic signatures of oral microbiota in head and neck cancer.

BACKGROUND: Head and neck cancer, predominantly squamous cell carcinoma, has emerged as a significant global health concern. Growing evidence has esta...

Joint effects of physical activity and diet quality on depressive symptoms and all-cause mortality in adults with diabetes: NHANES 2007-2018.

Depressive symptoms are common among adults with diabetes and are associated with adverse clinical outcomes, including mortality. Evidence from genera...

Identifying Venous Insufficiency in Head and Neck Reconstruction Flaps Using Machine Learning and Deep Learning Methods.

BACKGROUND: Venous insufficiency is a major cause of flap failure in head and neck reconstruction. AI provides a reliable, convenient solution for ear...

Experimental investigation of muscle-tendon unit geometry and kinematics in lower-limb muscles during gait: Current applications and future directions - A scoping review.

PURPOSE: Musculoskeletal (MSK) modeling and ultrasound imaging (USI) are complementary techniques that, when combined with three-dimensional gait anal...

Colonoscopy surveillance in Lynch syndrome: what it prevents and what it does not.

Lynch syndrome (LS), synonymous with hereditary non-polyposis colorectal cancer (HNPCC), is caused by germline pathogenic variants in MLH1, MSH2, MSH6...

Quantification, radiomics and artificial intelligence in infection imaging: Current status and future directions in nuclear medicine.

Nuclear medicine infection imaging has traditionally relied on semantic visual interpretation supported by simple semi-quantitative indices. While eff...

Automation Software for Transesophageal Echocardiography in Cardiac Patients: A Scoping Review.

Automation software has improved accuracy, efficiency, and reproducibility in transthoracic echocardiography, but its role in transesophageal echocard...

Pinostrobin attenuates microglia-mediated neuroinflammation after subarachnoid hemorrhage through modulation of the MYC-CTSL signaling axis.

Subarachnoid hemorrhage (SAH) is a life-threatening neurological emergency associated with high mortality and poor functional outcomes. Early brain in...

MobiRes: An integrative pipeline for resistome risk prediction through mobilome profiling.

Antimicrobial resistance (AMR) poses a significant global health challenge, with the environment serving as a crucial reservoir and conduit for resist...

Target-enhanced double-pulse LIBS coupled with feature-fused CNN for mechanistic and interpretable coffee origin authentication.

Coffee geographical origin authentication is critical for mitigating economically motivated adulteration, yet rapid trace-element analysis in complex ...

Integrated and Ultrafast Multiomics Sample Preparation Workflow for Screening Biomarker Panel of Platelet Biomolecules for Early Diagnosis of HCC.

Early detection of hepatocellular carcinoma (HCC) remains a persistent worldwide challenge. Owing to its minimal invasiveness, liquid biopsy has emerg...