Artificial Intelligence Medical Compendium

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

Showing 1,581 to 1,590 of 213,568 articles

Artificial Intelligence in Digital Pathology for Prostate Cancer Detection: FDA Clearance and Real-World Implementation.

Journal of clinical pathology
Artificial intelligence (AI) has emerged as a promising adjunct in surgical pathology, particularly in the diagnosis of prostate cancer, where variability in interpretation or missed cancer foci can significantly affect patient management. This revie... read more 

Spatial architecture of tertiary lymphoid structures represents an independent prognostic dimension in hepatocellular carcinoma.

Journal for immunotherapy of cancer
BACKGROUND AND AIMS: Tertiary lymphoid structures (TLS) are associated with heterogeneous outcomes in hepatocellular carcinoma (HCC), but whether their anatomical context determines clinical impact remains unknown. We hypothesized that spatial compar... read more 

Identification of genomic features that uniquely impact estrogen receptor alpha binding and its effects on gene expression in endometrial cancer.

Genome research
Estrogen receptor 1 (ESR1) is an established oncogenic transcription factor in breast and endometrial cancer; however, more is known about the mechanisms controlling ESR1 behavior in breast cancer, and therapies targeting ESR1 have been much more suc... read more 

A subtype of ultrasonic vocalizations during palatable food consumption in rats identified by machine learning-assisted classification.

eNeuro
Identifying behavioral and physiological responses to rewarding stimuli is essential for understanding positive emotional states in animals and for investigating their neural basis. Ultrasonic vocalizations (USVs) in rats are modulated by various beh... read more 

Integrating CT Radiomics and Machine Learning for Preoperative Assessment of STAS Grading and Prognostic Stratification in Lung Adenocarcinoma.

Academic radiology
RATIONALE AND OBJECTIVES: The distance of spread through air spaces (STAS) dissemination is associated with prognosis in lung adenocarcinoma (LUAD). This study aimed to develop a computed tomography (CT) radiomics-based machine learning model to pred... read more 

A Machine-Learning Model Using Pre-treatment Multimodal Data to Predict Sentinel Lymph Node Status After Neoadjuvant Chemotherapy in Operable Early-stage Breast Cancer.

Academic radiology
RATIONALE AND OBJECTIVES: Although accurate preoperative prediction of sentinel lymph node (SLN) status in operable early-stage breast cancer (EBC) after neoadjuvant chemotherapy (NAC) is crucial for optimal axillary surgery, it remains challenging w... read more 

Multimodal Deep Fusion of Ultrasound Images and Clinical Factors for Pre-operative Prediction of Lateral Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma.

Ultrasound in medicine & biology
OBJECTIVE: Lateral cervical lymph node metastasis (LLNM) is missed in up to 30% of papillary thyroid carcinoma (PTC) patients pre-operatively, leading to incomplete surgery or unnecessary two-stage lateral neck dissection. Here we aimed to develop an... read more 

An explainable real-time artificial intelligence -assisted system to reduce intradialytic hypotension.

Journal of the Formosan Medical Association = Taiwan yi zhi
BACKGROUND: Intradialytic hypotension (IDH) is a frequent complication in hemodialysis and is associated with adverse cardiovascular and neurological outcomes. Existing AI prediction models often lack real-world applicability, highlighting the need f... read more 

The Spanish Atherosclerosis Society Dyslipidaemia Registry: Evolution, real-world evidence, and its role in precision medicine. Current status in 2026.

Clinica e investigacion en arteriosclerosis : publicacion oficial de la Sociedad Espanola de Arteriosclerosis
INTRODUCTION: The National Dyslipidemia Registry of the Spanish Atherosclerosis Society (SEA) represents a major source of real-world evidence on lipid metabolism disorders in Spain. This study aims to describe the evolution of the registry, its main... read more