Latest AI and machine learning research in gerd for healthcare professionals.
Goal-oriented semantic communication has recently emerged in wireless sensor-actuator networks, emph...
This work presents a multi-label classification framework for video capsule endoscopy (VCE) that add...
Modern studies increasingly leverage outcomes predicted by machine learning and artificial intellige...
Molecular interactions underlie nearly all biological processes, but many representation learning mo...
Abstract Background: Echocardiography (echo) notes contain valuable prognostic information for patie...
The protein-protein interactions (PPIs) between viruses and human play crucial roles in viral infect...
Aims: We aimed to develop and evaluate fully automated artificial intelligence (AI) system. for dete...
Synthetic lethality (SL) offers a promising paradigm for targeted cancer therapy, yet experimental i...
Accurate depth estimation plays a critical role in the navigation of endoscopic surgical robots, for...
Accurate depth estimation plays a critical role in the navigation of endoscopic surgical robots, for...
Objectives: Artificial intelligence (AI) enabled digital stethoscopes combine phonocardiography and ...
Triple-negative breast cancer (TNBC) is an aggressive subtype that lacks effective targeted therapie...
Endoscopy is essential in medical imaging, used for diagnosis, prognosis and treatment. Developing a...
Objective: The immune system plays a role in the occurrence and progression of numerous pregnancy co...
Background: Echocardiography (echo) is a cornerstone of pediatric cardiology, yet access to expert i...
The classification performance of deep neural networks relies strongly on access to large, accuratel...
Traditional diagnosis of aortic valve disease relies on echocardiography, but its cost and required ...
Pharyngeal health plays a vital role in essential human functions such as breathing, swallowing, and...
We study the problem of monitoring model performance in dynamic environments where labeled data are ...
Protein design seeks optimal amino acid sequences for target structures, but designing stable protei...
Machine learning predictions are increasingly used to supplement incomplete or costly-to-measure out...