Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 12,311 to 12,320 of 210,314 articles

Detection of spider mite infestation via hyperspectral imaging and deep neural networks with spatial-spectral attention.

Bulletin of entomological research
Early detection of spider mite emergence is highly challenging due to the lack of visible symptoms and subtle physiological changes. To address the rapid monitoring of pest mite damage, this study provided a method based on hyperspectral imaging comb... read more 

Identification of diagnostic markers for diabetic kidney disease by weighted gene co‑expression network analysis and machine learning.

International journal of molecular medicine
Diabetic kidney disease (DKD) represents a major complication associated with diabetes mellitus, notably contributing to patient morbidity and mortality. However, early diagnosis of DKD remains challenging due to the lack of clear diagnostic biomarke... read more 

Unraveling the molecular landscape of chronic radiation injury: From oxidative stress signaling to translational modeling (Review).

International journal of molecular medicine
The expanding footprint of human radiation exposure, driven by advances in interventional diagnostics, the resurgence of the nuclear industry and the deep‑space exploration, has necessitated a paradigm shift from understanding acute syndromes to the ... read more 

Epigenetic research methods and animal models for intervertebral disc degeneration (Review).

Molecular medicine reports
Intervertebral disc degeneration (IVDD) is increasingly recognized as a systemic collapse of the epigenetic regulatory network, driven by cellular senescence and environmental stressors. The present review provides an overview of the epigenetic regul... read more 

Global incidence patterns of early-onset gastrointestinal cancers and their ecological associations with behavioural risk factors.

Journal of global health
BACKGROUND: Early-onset gastrointestinal cancers (EOGIC) are increasingly recognised as an urgent global health concern. We aimed to describe the global incidence patterns of EOGIC in 2022 and evaluate country-level ecological associations with behav... read more 

Electroactive Nanomaterials in Tissue Engineering: Advances, Mechanisms and Future Perspectives.

Advanced healthcare materials
Simulation of the dynamic electromechanical microenvironment is of great significance in tissue engineering, especially in the regeneration of those electrically responsive tissues, such as nerves, heart and bone. In recent years, electroactive nanom... read more 

Diagnostic Performance of an Artificial Intelligence Model for Retinal Abnormalities in Primary Health Care: A Real-World Teleophthalmology Study.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association
INTRODUCTION: Timely access to ophthalmological care is a challenge in primary health care (PHC). Teleophthalmology and artificial intelligence (AI) are tools to expand access, but real-world evidence remains limited. This study evaluates the diagnos... read more 

Clinical Median Images and Deep Learning: Advancing Automated Detection of Ultrasound Transducer Uniformity Artifacts.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
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Adaptive Disorder as the Hallmark of Nanobodies Antigen-Binding Loops.

Journal of chemical information and modeling
Nanobodies are antigen-binding proteins of great interest as diagnostics and therapeutics. Accurate and fast characterization of their complementarity-determining regions (CDRs) is crucial to uncover the principles guiding their design. Yet, this tas... read more 

Deep learning methods for automated orthopaedic measurements in radiographs.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
Radiography remains central to orthopedic diagnosis and surgical planning, yet many clinically important measurements (angles, offsets, alignment indices, and grading scores) are time-consuming to obtain and show intra- and inter-observer variability... read more