Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 208,441 articles

Diagnostic Tests for Stage B Heart Failure.

Current cardiology reports
PURPOSE OF THE REVIEW: To provide an overview of diagnostic tests for Stage B heart failure (SBHF), synthesizing evidence from guidelines and clinical studies. RECENT FINDINGS: Advances in diagnostic technologies have expanded the ability to identify... read more 

Deep Learning-Based Panoramic Radiograph Retrieval from Antemortem Images for Forensic Identification.

International journal of legal medicine
The aim of this study was to evaluate the applicability of an expert-assisted, semi-automated, Convolutional Neural Network based deep learning framework developed using panoramic dental radiographs in large-scale retrieval-based forensic identificat... read more 

A comparative evaluation of large language models in diagnosis and treatment planning in restorative dentistry.

BMC oral health
OBJECTIVE: With the advancement of artificial intelligence (AI), large language models (LLMs) have become an alternative source of information in dentistry. These LLMs, which can be trained on large data sets, can answer medical questions and provide... read more 

Multi-omics integration identifies macrophage senescence driven by the RUNX1-P53 axis as a key mechanism in diabetic foot ulcer.

Functional & integrative genomics
Diabetic foot ulcer (DFU) is a severe complication of diabetes, characterized by chronic inflammation and impaired healing. Although cellular and immunosenescence are associated with chronic wounds, the specific cell types, regulatory mechanisms, and... read more 

A hybrid underwater crack image enhancement method.

Scientific reports
This study proposes a hybrid underwater crack image processing method. The first half of the algorithm is based on traditional image processing, which analyzes and judges the color of an image, establishes the image chromaticity factor K, and perform... read more 

Can AI chatbots be reliable in dental emergencies? quality assessment of Arabic responses to dental emergency inquiries and public attitudes toward their use.

BMC oral health
BACKGROUND: Artificial intelligence (AI) is increasingly penetrating health and dental fields without sufficient monitoring of its quality and applicability. AIM: This study aimed to evaluate public attitudes toward AI chatbots in dental emergencies ... read more 

Explainable AI machine learning framework for chronic kidney disease prediction utilizing electronic health records.

BMC medical informatics and decision making
BACKGROUND: Chronic Kidney Disease (CKD) is one of the significant health issues in the world which is usually unnoticeable and afterwards causes greater morbidity and mortality. Timely intervention is important in early diagnosis that will enhance p... read more 

Annotation-efficient weed detection using DINOv3-distilled YOLOv12.

Scientific reports
Weed pressure causes global crop yield losses of 10-34%, while the deployment of deep learning-based weed detection systems at scale remains constrained by the high cost of bounding-box annotation across diverse field environments. This study address... read more 

Integrating WGCNA and machine learning to identify and validate key biomarkers in MASLD.

BMC gastroenterology
BACKGROUND: Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) represents the most prevalent chronic liver disease worldwide. The absence of approved pharmacotherapies is largely attributed to their profound molecular heterogeneity. The... read more 

A machine-learning-derived multi-cell death mode signature predicts melanoma prognosis and reveals an immune-cold tumor microenvironment.

Discover oncology
BACKGROUND: Regulated cell death programs influence melanoma progression and antitumor immunity, yet a robust prognostic model integrating multiple cell-death modalities remains limited. METHODS: Transcriptomic and clinical data from TCGA and indepen... read more