Information Technology

Increased Utilization of Telemedical Emergency and Nonurgent Care Following Deployment of Virtual Triage and Care Referral in Australia.

OBJECTIVE: To evaluate whether an artificial intelligence-based national virtual triage and care referral (VTCR) service in Australia improved care acuity level alignment, increased patient engagement of telemedicine services, and reduced emergency department demand by offering lower acuity, less costly options for urgent, virtual, or in-person care services. PATIENTS AND METHODS: Cross-sectional ...

Enhancing deep learning telemedicine for retinopathy of prematurity: current evidence and opportunities for improvement.

Clinical Decision Support Systems for cancer symptom management: A scoping review.

BACKGROUND: Effective cancer symptom management significantly impacts patient outcomes and quality of life. While Clinical Decision Support Systems sh...

Time series dataset for network security situational awareness.

In the field of network security situational awareness (NSSA), it is challenging to find a usable dataset. Most of the datasets used in existing resea...

Industry 6.0 capabilities in orthopaedics: Towards hyper-personalized and autonomous surgical care.

BACKGROUND: Industry 6.0 represents the next frontier in technological evolution, integrating artificial intelligence (AI), autonomous robotics, digit...

Assessing the Readiness of Health Care Organizations for Safe AI Integration: Perspectives From Quality and Safety Leaders.

BACKGROUND: Artificial intelligence (AI) technologies hold great promise for improving patient outcomes, reducing clinician workload, and enhancing pa...

Developing a Statistical Modeling-Based Machine Learning Approach for Capturing Drug Dosing Using a Proton Pump Inhibitor Case.

OBJECTIVE: To develop a statistical model to capture medication dosing for proton pump inhibitors (PPIs) using structured data from electronic health ...

[Digital, DICOM, diagnostics-unity over chaos : Data communication in digital pathology].

Digitization of histological specimens enables new computer-assisted analysis and artificial intelligence (AI)-supported diagnostics, but is hampered ...

Digital health integration in chronic kidney disease.

Chronic kidney disease (CKD) is a growing global health burden characterized by progressive renal dysfunction, high comorbidity rates, and substantial...

Healthbots for conducting clinical screening and remote monitoring with patient mood assessment: A scoping review.

BACKGROUND: Patient mood assessment is key in managing chronic diseases but is often overlooked. Although conversational agents enhance telemonitoring...

Application of a natural language processing algorithm to early asthma ascertainment for adults in the era of electronic health records.

BACKGROUND: The natural language processing (NLP) algorithm for predetermined asthma criteria (NLP-PAC) was successfully developed and validated for a...

How Technology Can Increase Access to Sleep Health Care.

Sleep disorders, like insomnia and sleep apnea, affect millions globally and negatively impact health and well-being. Traditional barriers such as geo...

Mortality prediction among older people in primary care: a comparison of predictive performance of the frailty index with regression-based and machine learning models.

INTRODUCTION: The frailty index is widely used to identify vulnerable individuals at risk of adverse outcomes like mortality. However, its predictive ...

AI-assisted literature screening: A hybrid approach using large language models and retrieval-augmented generation.

OBJECTIVE: Current systematic literature reviews largely rely on manual screening of articles retrieved through keyword search, which is time-consumin...

Building a Quantitative Telemedicine Platform for Myasthenia Gravis: Augmenting the Physical Examination.

Myasthenia gravis (MG), a fluctuating autoimmune neuromuscular disease, presents unique challenges for remote assessment due to its reliance on detail...

Cybersecurity for Interventional Radiologists: A Clinical Imperative for Protecting Patient Data and Imaging Systems.

Cybersecurity threats to medical imaging systems and workflows are no longer confined to information technology departments; they directly affect inte...

From sample to clinical insight: a review of exome sequencing in disease diagnostics.

Exome sequencing (ES) has transformed genomic research and clinical diagnostics by enabling precise identification of disease-associated variants with...

The Development and Validation of Multivariable Electronic Health Record-Based Models to Predict Diabetic Ketoacidosis-Related Hospitalizations for Adults with Type 1 Diabetes.

AIM: To develop and validate models that use electronic health record (EHR) data to predict diabetic ketoacidosis (DKA)-related hospitalizations over ...

Explanation Beyond Individual Features: Instance-wise Feature Grouping for EHR Predictive Analytics.

Identifying relevant input features which contribute to the output of a clinical prediction model can enhance the model explainability. To allow the e...

Evaluation of a New Inclusive Next-Generation Synthetic Face Tool for Dysmorphology.

Background Facial analysis tools can assist in diagnosing rare genetic syndromes, but their accuracy is limited in ultra-rare conditions and underrepr...