Artificial Intelligence Medical Compendium

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

Showing 11,701 to 11,710 of 210,187 articles

Targeting Tau-Mitochondrial Crosstalk in Alzheimer's Disease: Integrative Multi-Omics and Artificial Intelligence-Driven Tools for the Development of Disease-Modifying Therapeutics.

Ageing research reviews
Alzheimer's disease (AD) is a progressive neurodegenerative illness marked by cognitive impairment, synaptic dysfunction and neuronal death. Tau protein abnormalities and mitochondrial dysfunction are key features of its pathogenesis, and both are in... read more 

Simulated wildfire smoke particulate matter elicits STING-dependent astrocyte-mediated inflammatory signaling and neurotoxicity.

Neurotoxicology
Changing global wildfire landscapes necessitate exploration of the effects of exposure to wildfire smoke on health and disease. Exposure to this toxicant is not only associated with acute cardiopulmonary dysfunction, but is increasingly recognized as... read more 

Echocardiography-Based Machine Learning Model for Atrial Fibrillation Risk Assessment in Hypertension.

Heart rhythm
BACKGROUND: Early identification of atrial fibrillation (AF) allows for timely interventions to reduce cardiovascular complications. Risk scores including C2HEST and CHA2DS2-VASc have limitations in capturing cardiovascular remodeling. Given the asso... read more 

Methods for determining indications for antibiotic prescriptions to facilitate antimicrobial stewardship: a scoping review.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases
BACKGROUND: Effective antimicrobial stewardship (AMS) requires accurate information on the reason for prescribing antimicrobials. To design targeted interventions aimed at improving guideline adherence, accurate information on the indication for each... read more 

[From PubMed to GPT: a narrative review of the emerging role of Large Language Models in systematic reviews].

Gynecologie, obstetrique, fertilite & senologie
OBJECTIVE: Systematic reviews are a cornerstone of evidence-based medicine but remain time-consuming and prone to human error. Large Language Models (LLMs), such as ChatGPT or Claude, offer new opportunities for partial automation of these tasks. Thi... read more 

Insights into distinct biocarbon assembly and graphitization derived from large-scale bioresource by integrating machine learning with Raman and XRD spectroscopic profiling.

Bioresource technology
Understanding and predicting the elemental composition and assembly of diverse biocarbon materials are critical for quickly tailoring their physicochemical properties and functional applications. However, it remains challenging to sort out the comple... read more 

Deep Learning-Based Positive Region Segmentation and Spatial Registration of Virtual Multiplex Immunohistochemical Whole-Slide Images.

Laboratory investigation; a journal of technical methods and pathology
PURPOSE: This study aims to facilitate virtual multiplexing by establishing a deep learning-based analytical framework for precise identification and spatial reconstruction of positive regions in multiple immunohistochemistry (IHC) images. MATERIALS ... read more 

Effects of peripheral nerve damage on promoting maladaptive plasticity in the spinal cord and brain.

Neuroscience
Peripheral nerves can acquire damage through trauma, demyelinating diseases, inflammatory or immune-mediated insults, cancer, metabolic disorders, medications, toxins, and others. Damage may occur to motor, sensory, or pain fibres, or a combination, ... read more 

Interpretable and non-linear machine learning models for quantitative ICG perfusion assessment in colorectal cancer anastomosis: A feasibility study.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
BACKGROUND: Anastomotic leakage (AL) remains a major complication after colorectal cancer surgery (CCS). Intraoperative indocyanine green (ICG) fluorescence angiography is widely used to assess bowel perfusion, but interpretation is largely subjectiv... read more