Artificial Intelligence Medical Compendium

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

Showing 40,191 to 40,200 of 223,737 articles

Wavelet-Transformed Frequency Linked Attention with Selective Hierarchy for Abdominal Organ Segmentation.

Journal of imaging informatics in medicine
The clinical use of computed tomography (CT) scans has been steadily rising due to their ability to provide detailed three-dimensional (3D) representations of organs, along with advantages such as speed and high resolution. With CT, physicians can id... read more 

TF-VSF: A Novel Training-Free Visual-Semantic Fusion Rare Medical Morning Glory Syndrome Diseases Severity Assessment Method.

Journal of imaging informatics in medicine
Medical morning glory syndrome (MGS) is a rare congenital disease. Approximately 50% of MGS patients present with retinal detachment. Widespread screening for MGS significantly aids in early detection, but it places a considerable burden on healthcar... read more 

A Deep Learning Framework for Enhanced Ovarian Adnexal Mass Classification Using Routinely Acquired Ultrasound Images.

Journal of imaging informatics in medicine
Accurate classification of ovarian masses is crucial for clinical decision-making. B-mode ultrasound is widely used for imaging adnexal masses, yet complex structures can be difficult to differentiate. We propose a deep learning framework integrating... read more 

Bulliform cells: anatomical, physiological, genetic, and computational perspectives on plants' drought adaptation.

Planta
This work highlights pollen thermotolerance as vital for reproductive success under heat stress, integrating molecular regulation, gene mapping, and breeding strategies to accelerate development of resilient, high-yielding crop varieties. Bulliform c... read more 

Advancing diagnostic equity through artificial intelligence chest radiograph screening for osteoporosis in Asian populations.

NPJ digital medicine
Early identification of abnormal bone mineral density (BMD) through opportunistic screening is critical for preventing osteoporotic fractures. We validated an AI model in 2384 asymptomatic adults (57.7% female; mean age 43.6 years) undergoing health ... read more 

Enhancing automated fracture detection in paediatric wrist X-rays with paired and unpaired cast suppression methods.

International journal of computer assisted radiology and surgery
PURPOSE: Casts in follow-up wrist X-rays reduce diagnostic image quality, complicating the assessment of fracture healing. This study developed cast suppression models using real unpaired data and synthetic paired data and investigated their impact o... read more 

Multimodal models for skin cancer classification using clinical freetext and dermatoscopic images.

Communications medicine
BACKGROUND: Skin cancer is one of the most prevalent cancers globally, with early detection critical to ensure reduced mortality risk. To aid early detection, machine learning (ML) skin cancer detection models have been proposed, currently with a foc... read more 

Comparing YOLO and U-net deep learning algorithms in chronic wound image segmentation.

BMC medical imaging
Chronic wound analysis is crucial for effective wound care, necessitating precise and efficient segmentation techniques. This study explores the use of YOLOv8 and YOLO11, renowned deep learning algorithms for object detection, in medical image segmen... read more