Artificial Intelligence Medical Compendium

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

Showing 48,711 to 48,720 of 224,513 articles

AI portal tract detection and characterisation for a regional analysis of steatosis and inflammation in MASLD, MASH and AIH.

Journal of clinical pathology
AIMS: Annotation of liver biopsies for disease staging is increasingly aided by digital pathology; however, existing systems do not quantify inflammation and steatosis within an anatomical framework. We hypothesise that an artificial intelligence (AI... read more 

Dual-Parallel Artificial Intelligence Framework for Breast Cancer Grading via High-Intensity Ultrasound and Biomarkers.

Cancer biotherapy & radiopharmaceuticals
BACKGROUND: Accurate and noninvasive breast cancer grading and therapy monitoring remain critical challenges in oncology. Traditional methods often rely on invasive histopathological assessments or imaging-only techniques, which may not fully capture... read more 

Two-Step Semiautomated Classification of Choroidal Metastases on MRI: Orbit Localization via Bounding Boxes followed by Binary Classification via Evolutionary Strategies.

AJNR. American journal of neuroradiology
BACKGROUND AND PURPOSE: The choroid of the eye is a rare site for metastatic tumor spread, and as small lesions on the periphery of brain MRI studies, these choroidal metastases are often missed. To improve their detection, we aimed to use artificial... read more 

Top Ten Tips Palliative Care Clinicians Should Know About the Future of Artificial Intelligence.

Journal of palliative medicine
Artificial intelligence (AI) is transforming health care and has implications for palliative care (PC) and serious illness communication (SIC). This article integrates interdisciplinary and interprofessional expertise, providing key tips for PC clini... read more 

Transforming Biospecimen Management: A Roadmap for Integrated Sample Traceability in the Era of Global Research.

Biopreservation and biobanking
INTRODUCTION: Advancements in biomedical research depend on the quality and availability of biological samples. Despite their sophisticated storage capabilities, biobanks face significant challenges in sample management, with stored specimens often r... read more 

Deep Learning Integration of Endoscopic Ultrasound Features and Serum Data Reveals LTB4 as a Diagnostic and Therapeutic Target in ESCC.

Cancer biotherapy & radiopharmaceuticals
BACKGROUND: Early diagnosis and accurate prediction of treatment response in esophageal squamous cell carcinoma (ESCC) remain major clinical challenges due to the lack of reliable and noninvasive biomarkers. Recently, artificial intelligence-driven e... read more 

An Online Learning Framework for Neural Decoding in Embedded Neuromodulation Systems.

Brain connectivity
INTRODUCTION: Advancements in brain-computer interfaces (BCIs) have improved real-time neural signal decoding, enabling adaptive closed-loop neuromodulation. These systems dynamically adjust stimulation parameters based on neural biomarkers, enhancin... read more 

Nanoengineering of Exosomal Surfaces for Precision Targeting and Payload Delivery at the Molecular Level.

Assay and drug development technologies
Exosomes, nano-sized extracellular vesicles secreted by almost all cell types, have emerged as biologically compatible vehicles for targeted drug delivery, gene therapy, and molecular diagnostics. Their innate ability to traverse biological barriers ... read more