Practice Management

Information Technology

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

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Evaluation of an Ambient Artificial Intelligence Documentation Platform for Clinicians.

IMPORTANCE: The increase of electronic health record (EHR) work negatively impacts clinician well-be...

Audio-based digital biomarkers in diagnosing and managing respiratory diseases: a systematic review and bibliometric analysis.

Advances in wearable sensors and artificial intelligence have greatly enhanced the potential of digi...

Machine learning to improve HIV screening using routine data in Kenya.

INTRODUCTION: Optimal use of HIV testing resources accelerates progress towards ending HIV as a glob...

Construction and validation of machine learning-based predictive model for colorectal polyp recurrence one year after endoscopic mucosal resection.

BACKGROUND: Colorectal polyps are precancerous diseases of colorectal cancer. Early detection and re...

Artificial intelligence and digital tools for design and execution of cardiovascular clinical trials.

Recent advances have given rise to a spectrum of digital health technologies that have the potential...

Exploring the full potential of the electronic health record: the application of natural language processing for clinical practice.

The electronic health record (EHR) contains valuable patient data and offers opportunities to admini...

Development of secure infrastructure for advancing generative artificial intelligence research in healthcare at an academic medical center.

BACKGROUND: Generative AI, particularly large language models (LLMs), holds great potential for impr...

A Guide for Implementing an A.I-Driven Initiative in Rural Northern Ontario.

Diagnosing pulmonary embolism (PE) often requires specialized expertise in interpreting x-rays and r...

Research on APT groups malware classification based on TCN-GAN.

Advanced Persistent Threat (APT) malware attacks, characterized by their stealth, persistence, and h...

Early prediction of colorectal adenoma risk: leveraging large-language model for clinical electronic medical record data.

OBJECTIVE: To develop a non-invasive, radiation-free model for early colorectal adenoma prediction u...

Advancing malware imagery classification with explainable deep learning: A state-of-the-art approach using SHAP, LIME and Grad-CAM.

Artificial Intelligence (AI) is being integrated into increasingly more domains of everyday activiti...

Cyber security Enhancements with reinforcement learning: A zero-day vulnerabilityu identification perspective.

A zero-day vulnerability is a critical security weakness of software or hardware that has not yet be...

The Vertebrate Breed Ontology: Toward Effective Breed Data Standardization.

BACKGROUND: Limited universally-adopted data standards in veterinary medicine hinder data interopera...

HCAP: Hybrid cyber attack prediction model for securing healthcare applications.

The rapid development and integration of interconnected healthcare devices and communication network...

Telemedicine in China: Effective indicators of telemedicine platforms for promoting health and well-being among healthcare consumers.

OBJECTIVE: Telemedicine platforms played a crucial role during the COVID-19 pandemic, alleviating is...

Digital transformation in healthcare management: from Artificial Intelligence to blockchain.

The digital transformation of healthcare is revolutionizing the management of medical institutions, ...

Artificial Intelligence-Assisted Matching of Human Postmortem Donors to Ocular Research Projects.

The scarcity of human ocular samples with short postmortem intervals (PMIs) is a significant issue i...

Researching public health datasets in the era of deep learning: a systematic literature review.

Explore deep learning applications in predictive analytics for public health data, identify challen...

A Dynamic Model for Early Prediction of Alzheimer's Disease by Leveraging Graph Convolutional Networks and Tensor Algebra.

Alzheimer's disease (AD) is a neurocognitive disorder that deteriorates memory and impairs cognitive...

Uncovering Important Diagnostic Features for Alzheimer's, Parkinson's and Other Dementias Using Interpretable Association Mining Methods.

Alzheimer's Disease and Related Dementias (ADRD) afflict almost 7 million people in the USA alone. T...

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