Artificial Intelligence Medical Compendium

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

Showing 441 to 450 of 200,021 articles

Agreement between three state-of-the-art deep learning bone age estimation models and chronological age in a large contemporary pediatric cohort.

Pediatric radiology
BACKGROUND: Radiographic bone age estimation is routinely performed in children to evaluate short stature, early or late puberty, and endocrine disorders, as well as for surgical planning. OBJECTIVE: To evaluate agreement between three state-of-the-a... read more 

Artificial intelligence in paediatric chest imaging: applications, challenges, and future directions.

Pediatric radiology
BACKGROUND: Paediatric chest imaging is central to diagnosing respiratory and cardiopulmonary disease, particularly in low- and middle-income countries (LMICs) where pneumonia remains a leading cause of childhood mortality and radiology expertise is ... read more 

Deep learning-based water body extraction using high-resolution RGB-UAV imagery: a case study on Horseshoe Island, Antarctica.

Environmental monitoring and assessment
Antarctica, which contains nearly 70% of the world's freshwater reserves, plays a key role in regulating global sea level and climate processes. Its coastal environments are highly dynamic and shaped by glacier calving, tidal forcing, and complex oce... read more 

CeO2 Nanozymes as redox regulators: Reprogramming of reactive oxygen species (ROS) signaling for plant climate resilience.

Plant molecular biology
Climate change-induced abiotic stress, including heat, cold, salinity, and drought, increasingly threaten global crop productivity. These challenges highlight the need for complementary strategies alongside conventional genetic improvement. Reactive ... read more 

Deep learning for early detection of Zenker's diverticulum based on swallowing sound analysis.

International journal of computer assisted radiology and surgery
PURPOSE: Patients with Zenker's diverticulum (ZD) often suffer from oropharyngeal dysphagia that can go undiagnosed for years. Diagnosis of ZD typically requires specialized centers and videofluoroscopy. Our study aims to create a noninvasive, access... read more 

A Hybrid Deep Learning Framework with Supervised Contrastive Learning for Robust Seizure Detection in Long-Term EEG.

Journal of medical systems
Accurate and timely automatic detection of epileptic seizures is crucial for reducing the workload for visually inspecting long-term electroencephalogram (EEG) and improving diagnostic efficiency. However, this task remains a critical challenge owing... read more 

Multiparametric MRI-Based Habitat Radiomics Combined with Deep Transfer Learning for Predicting Extrathyroidal Extension in Papillary Thyroid Carcinoma.

Journal of imaging informatics in medicine
The objective of the study is to develop and validate a multiparametric MRI (mpMRI)-based model that integrated with habitat-based radiomics, deep transfer learning (DTL), and quantitative parameters for the preoperative prediction of extrathyroidal ... read more 

A multimodal prediction framework for colorectal cancer peritoneal metastasis: CT-based tumor and adipose tissue analysis.

Abdominal radiology (New York)
Accurate preoperative assessment of CT-occult peritoneal metastasis (PM) in colorectal cancer is critical for clinical decision-making. This study demonstrates that radiomic features derived from visceral adipose tissue (VAT) provide substantial pred... read more 

An artificial intelligence solution for evaluation of prostate needle core biopsy specimens: impact in a non-specialist setting.

Virchows Archiv : an international journal of pathology
The diagnosis of prostate cancer rests on the histopathological evaluation of prostate needle core biopsy specimens (NCBS) supplemented by immunohistochemistry as required. Because of the well-known interobserver variability in diagnosis and grading ... read more