Practice Management

Information Technology

Latest AI and machine learning research in information technology for healthcare professionals.

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AI-enhanced telemedicine for personalized antiretroviral therapy in HIV patients with neurological comorbidities: a narrative review.

BACKGROUND: Human immunodeficiency virus (HIV), while now manageable as a chronic health condition w...

[The actual directions of digital development of health care system].

The article presents results of analysis of current trends, challenges and prospects of health care ...

Can ChatGPT accurately detect atrial fibrillation using smartwatch ECG?

BACKGROUND: Current guidelines require physician confirmation for smartwatch-diagnosed atrial fibril...

Multimodal interpretable data-driven models for early prediction of multidrug resistance using multivariate time series.

Electronic Health Records (EHRs) serve as a comprehensive repository of multimodal patient health da...

Association of Physical Activity from Wearable Devices and Chronic Disease Risk: Insights from the All of Us Research Program.

Physical activity is a modifiable factor influencing chronic disease risk. Previous studies often re...

Experiencing digital technologies: The importance of feeling safe in healthcare - A qualitative participatory design.

Digital technologies are increasingly used in healthcare. In this context, perceived safety plays a ...

CDEMapper: enhancing National Institutes of Health common data element use with large language models.

OBJECTIVE: Common Data Elements (CDEs) standardize data collection and sharing across studies, enhan...

Automating Evaluation of AI Text Generation in Healthcare with a Large Language Model (LLM)-as-a-Judge.

Electronic Health Records (EHRs) store vast amounts of clinical information that are difficult for h...

Anomaly Detection in Electronic Health Records Across Hospital Networks: Integrating Machine Learning With Graph Algorithms.

In a large hospital system, a network of hospitals relies on electronic health records (EHRs) to mak...

Assessment of the Modified Rankin Scale in Electronic Health Records with a Fine-tuned Large Language Model.

INTRODUCTION: The modified Rankin scale (mRS) is an important metric in stroke research, often used ...

Assessing the Content of Goals of Care Documentation for Hospitalized Patients With Alzheimer's Disease and Related Dementias.

BACKGROUND: Goals of care (GOC) conversations are an evidence-based practice that help clarify and a...

Secure healthcare data sharing and attack detection framework using radial basis neural network.

Secure medical data sharing and access control play a prominent role. However, it is still unclear h...

Using Generative Artificial Intelligence in Health Economics and Outcomes Research: A Primer on Techniques and Breakthroughs.

The emergence of generative artificial intelligence (GenAI) offers the potential to enhance health e...

Documentation, Coding, and Billing for Neurologic Services and Procedures.

Documentation, coding, and billing (claims submission) are foundational to neurologic practice in th...

Integrating prior knowledge with deep learning for optimized quality control in corneal images: A multicenter study.

OBJECTIVE: Artificial intelligence (AI) models are effective for analyzing high-quality slit-lamp im...

Managing chronic disease in the digital era: The role of telemedicine apps and platforms.

Chronic diseases such as diabetes, heart disease, or asthma are one of the biggest health challenges...

Predictive modeling of response to repetitive transcranial magnetic stimulation in treatment-resistant depression.

Identifying predictors of treatment response to repetitive transcranial magnetic stimulation (rTMS) ...

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