Latest AI and machine learning research in information technology for healthcare professionals.
This study aimed to develop and validate a transformer-based early warning score (TEWS) system for p...
The rapid growth of medical imaging data presents challenges for efficient storage and transmission,...
High-throughput density functional theory (DFT) calculations have become a vital element of computat...
Arthritis is a complex group of disorders characterized by inflammation of the joints and poses a si...
The rapid expansion of Internet of Things (IoT) networks necessitates efficient intrusion detection ...
The rapid adoption of Internet of Things (IoT) devices has significantly increased cybersecurity ris...
The emergence of large language models (LLMs) opens new horizons to leverage, often unused, informat...
This study delves into the vulnerability of the smart grid to infiltration by hackers and proposes m...
The role of electric vehicles (EV) is crucial in the shift toward sustainable transportation while r...
The Internet of Medical Things (IoMT) has transformed healthcare delivery but faces critical challen...
Growing volumes and sensitivities of information in the growing IoT require strong cybersecurity mea...
Occupational data is a crucial social determinant of health, influencing diagnostic accuracy, treatm...
Risk adjustment is a critical component of health care reimbursement aimed at ensuring fair compensa...
BACKGROUND: Acute kidney injury (AKI) and acute kidney disease (AKD) are frequent complications of h...
Electronic health record (EHR)-based models to identify individuals who may benefit from pre-exposur...
BACKGROUND: With the increasing prevalence of patients on home mechanical ventilation (HMV), changin...
Blockchain technology (BCT) enables the building of a distributed decentralized network that securel...
In recent years, the medical field has seen significant advancements in the field of robotics and ar...
The integration of wearable medical devices into surgical practice has transformed the field, enabli...
BACKGROUND: Early sepsis diagnosis is essential for initiating prompt treatment, preventing the prog...
Ophthalmological care has significant potential to consume energy, utilize resources, and generate w...