A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...
Artificial Intelligence (AI) is revolutionizing the dynamics of technological advancement in the field of medical imaging, ...
Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...
Oral potentially malignant disorders (OPMDs), characterized by a wide variety of types and diverse clinical manifestations, have always been difficult to diagnose and differentiate. All of them carry ...
CHICAGO--(BUSINESS WIRE)--GE HealthCare (Nasdaq: GEHC) unveiled three new advanced deep learning image processing and reconstruction solutions as a part of its Effortless Recon DL portfolio at the ...
Recent research (2024-2025) consistently demonstrates the advantages of integrated AI-VR training: Knowledge Acquisition: ...
A deep learning algorithm called FaceAge could allow clinicians to improve their qualitative assessments, and possibly catch ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...
Oral cancer remains a serious global health concern due to its high morbidity and mortality rates, primarily caused by late-stage diagnosis. The presence of oral potentially malignant disorders (OPMDs ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results