Artificial Intelligence Medical Compendium

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

Showing 42,091 to 42,100 of 223,853 articles

Practical AI-based cell extraction and spatial statistics for large 3D bone marrow tissue images.

Cell reports methods
Although the molecular regulation of hematopoiesis is well characterized, the spatial organization of hematopoietic cells within bone marrow (BM) remains unclear. Advances in microscopy have produced increasingly detailed images of murine BM, yet acc... read more 

Next-generation discovery: empowering organoid research with machine learning, artificial intelligence, and mathematical modeling.

Trends in biotechnology
Organoids have rapidly matured into powerful model systems. The field is pushing organoids toward architectural sophistication and functional fidelity, with longitudinal experiments producing ever-larger and more complex datasets. As a result, comput... read more 

A Multicenter Study on Deep Learning Model-Assisted Detection of Brain Metastases in MR Images.

Academic radiology
RATIONALE AND OBJECTIVES: This study aimed to develop and validate a deep learning-based brain metastasis detection model (BMDM) in magnetic resonance images for diagnosing brain metastases (BMs). MATERIALS AND METHODS: We retrospectively collected d... read more 

Development and Validation of a Deep Learning System for Echocardiographic Assessment of 16-Segment LV Wall Thickness.

Ultrasound in medicine & biology
OBJECTIVES: The quantitative analysis of 16-segment left ventricular wall thickness can provide insights into the pathological progression of left ventricular hypertrophy, influencing diagnosis and treatment. However, its applications were time-consu... read more 

Refining prognostication in non-muscle-invasive bladder cancer: From clinical models to artificial intelligence.

Urologic oncology
Over the past 2 decades, risk stratification in non-muscle-invasive bladder cancer (NMIBC) has evolved considerably, progressing from simple clinico-pathologic scoring systems to sophisticated, molecular, and artificial intelligence (AI)-driven frame... read more 

Artificial intelligence-based analysis of thrombotic and infectious risk factors in peripherally inserted central catheters (PICCs).

La Revue de medecine interne
INTRODUCTION: Peripherally inserted central catheters (PICCs) are increasingly used in France for prolonged intravenous therapies such as chemotherapy, parenteral nutrition, or antibiotics. They are easier to place than traditional central venous cat... read more 

The promise of biomarkers in Psoriatic Arthritis: Moving towards precision medicine.

Best practice & research. Clinical rheumatology
Psoriatic arthritis is a heterogeneous disease where delayed diagnosis and variable treatment responses remain significant challenges. This review addresses how interconnected metabolic, immunological, and genetic pathways provide opportunities for p... read more 

Nanozymes: The Emerging Frontier in Catalytic Nanomaterials and Their Therapeutic Applications.

Recent advances in drug delivery and formulation
Artificial nanomaterials known as nanozymes, which possess inherent enzyme-mimetic characteristics, have transformed environmental research, biomedicine, and catalysis. Compared with natural enzymes, nanozymes are advantageous due to their high stabi... read more 

Decoding the Blood-Brain Barrier: Innovative and Scalable Open-Source Machine Learning Model for Drug Permeability.

Current neuropharmacology
INTRODUCTION: The permeability of the blood-brain barrier (BBB) is an important property for potential drugs. Various in vitro and in vivo methods have been established to measure bloodbrain transport. Nevertheless, empirical assessment of the blood-... read more 

Computational Innovations in Cancer Research and How Computing is Transforming Drug Discovery and Development: A Review.

Mini reviews in medicinal chemistry
INTRODUCTION: Cancer is a major global health concern, causing millions of deaths each year due to the uncontrolled growth and spread of abnormal cells. Despite advances in diagnosis and treatment, its complexity and therapy resistance keep it a lead... read more