Latest AI and machine learning research in information technology for healthcare professionals.
Digital twin-assisted surgery referred to the use of a dynamic, patient specific virtual model that ...
Automated electrocardiogram (ECG) classification plays a critical role in arrhythmia diagnosis. Howe...
BACKGROUND: Mild cognitive impairment and early dementia (MCI-ED) are frequently unrecognized in rou...
INTRODUCTION: Within the UK there are 33 deaths every day from prostate cancer, second only to lung ...
Securing distributed network infrastructures has become a major priority in modern cybersecurity, wh...
Minimally invasive and robotic cardiac surgery have been developed to reduce surgical trauma, shorte...
OBJECTIVES: This study aims to assess electronic health record (EHR) use in physiotherapy, identify ...
INTRODUCTION: We created a probabilistic maternal-child electronic health record (EHR) linkage algor...
BACKGROUND AND SIGNIFICANCE: Ambient listening tools powered by generative artificial intelligence (...
OBJECTIVES: Artificial intelligence (AI) has the potential to transform medical informatics by suppo...
OBJECTIVE: To support ambulatory care innovation, we created Observer, a multimodal dataset comprisi...
OBJECTIVES: To report on the feasibility of a simultaneous, enterprise-wide deployment of EHR-integr...
OBJECTIVE: Stigmatizing language (SL) in Electronic Health Records (EHRs) can perpetuate biases and ...
OBJECTIVES: Increasingly, structured longitudinal electronic health records (EHRs) are being harness...
BACKGROUND: Clinical documentation is a major contributor to physician burnout, and artificial intel...
BACKGROUND: Chronic wounds are increasingly prevalent due to an aging population and rising chronic ...
Frailty has become a pressing health concern in Japan as it has entered a super-aged society. Early ...
OBJECTIVE: To develop a machine learning (ML) algorithm to stratify risk for major adverse cardiac e...
The exponential growth of malware attacks, particularly those exploiting malicious URLs, poses a sig...
Wearable biosensors leverage microfluidic technology for precise biofluid sampling and directional t...
These guidelines provide a clear and practical framework for the effective implementation of digital...