Latest AI and machine learning research in information technology for healthcare professionals.
We present a comprehensive analysis of deep learning approaches for Electronic Health Record (EHR) t...
Anomaly detection is a fundamental task in machine learning and data mining, with significant appl...
The integration of machine learning (ML) in cyber physical systems (CPS) is a complex task due to ...
The integration of machine-learning technologies into radiology practice has the potential to signif...
The standardization of clinical data elements (CDEs) aims to ensure consistent and comprehensive p...
Online anomaly detection is essential in fields such as cybersecurity, healthcare, and industrial ...
The rapid digitalization of communication systems has elevated Interactive Voice Response (IVR) te...
Falls pose a substantial risk to elderly individuals, especially those over 65, often leading to sev...
Objective: To develop and evaluate a scalable methodology for harmonizing inconsistent units in la...
Digital diabetes management technologies (DDMTs) have emerged as promising tools for improving glyce...
BACKGROUND: Progression free survival (PFS) is a critical clinical outcome endpoint during cancer ma...
PURPOSE: This study reports the implementation of a proof-of-concept, artificial intelligence (AI)-d...
INTRODUCTION: Identifying individuals with dementia is crucial for prevalence estimation and service...
IMPORTANCE: The increase of electronic health record (EHR) work negatively impacts clinician well-be...
The Hawkes process (HP) is commonly used to model event sequences with self-reinforcing dynamics, ...
Generative Artificial Intelligence (GenAI) is rapidly reshaping the global financial landscape, of...
Unsupervised novelty detection (UND), aimed at identifying novel samples, is essential in fields l...
In the rapidly evolving landscape of cybersecurity threats, ransomware represents a significant ch...
The lack of standardized evaluation benchmarks in the medical domain for text inputs can be a barr...
Flexible sharing of electronic medical records (EMRs) is an urgent need in healthcare, as fragment...
Large language models (LLMs) hold great promise for medical applications and are evolving rapidly,...