Latest AI and machine learning research in information technology for healthcare professionals.
Computer networks face vulnerability to numerous attacks, which pose significant threats to our data...
And sentences associated with these attributes and relationships have been neglected. in this paper ...
The potential of artificial intelligence (AI) in medicine lies in its ability to enhance clinicians'...
AIMS: Heart failure (HF) is a clinical syndrome with no definitive diagnostic tests. HF registries a...
BACKGROUND: Malnutrition is a prevalent issue in aged care facilities (RACFs), leading to adverse he...
Diabetic retinopathy (DR) is a major complication of diabetes mellitus and is a leading cause of vis...
Telemedicine is an emerging development in the healthcare domain, where the Internet of Things (IoT)...
With Artificial Intelligence (AI) increasingly permeating various aspects of society, including heal...
Internal medicine physicians are increasingly interacting with systems that implement artificial int...
BACKGROUND: Leishmaniasis, an illness caused by protozoa, accounts for a substantial number of human...
Liver fibrosis is a pathological condition characterized by the abnormal proliferation of liver tiss...
Coronary artery calcification (CAC) on lung cancer screening low-dose chest CT (LDCT) is a cardiova...
In the last few decades, there has been an ongoing transformation of our healthcare system with larg...
Due to the recent advances in the Internet and communication technologies, network systems and data ...
Magnetic resonance imaging of the brain is a useful tool in both the clinic and research settings, a...
BACKGROUND: Ex-ante identification of the last year in life facilitates a proactive palliative appro...
INTRODUCTION: Accurate risk prediction can facilitate screening and early detection of pancreatic ca...
The presentation of pulmonary embolism (PE) varies from asymptomatic to life-threatening, and manage...
The persistent evolution of cyber threats has given rise to Gen V Multi-Vector Attacks, complex and ...
BACKGROUND: Diabetic retinopathy (DR) is a common complication of diabetes and may lead to irreversi...
Natural language processing (NLP)-based data extraction from electronic health records (EHRs) holds...