Practice Management

Information Technology

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

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Early Alzheimer's Detection Through Voice Analysis: Harnessing Locally Deployable LLMs via , a privacy-preserving diagnostic system.

Diagnosing Alzheimer's Disease (AD) early and cost-effectively is crucial. Recent advancements in La...

The revolutionary impact of 6G technology on empowering health and building a smart society: A scoping review.

OBJECTIVE: This scoping review investigates the potential of 6G technology in healthcare, particular...

The future of healthcare-associated infection surveillance: Automated surveillance and using the potential of artificial intelligence.

Healthcare-associated infections (HAIs) are common adverse events, and surveillance is considered a ...

Machine reading and recovery of colors for hemoglobin-related bioassays and bioimaging.

Despite advances in machine learning and computer vision for biomedical imaging, machine reading and...

GatorCLR: Personalized predictions of patient outcomes on electronic health records using self-supervised contrastive graph representation.

OBJECTIVE: Recently, there has been growing interest in analyzing large amounts of Electronic Health...

A review of the application of machine learning in carbon emission assessment studies: prediction optimization and driving factor selection.

With growing global concerns over the greenhouse effect and its impacts, developing effective carbon...

Closing the AI generalisation gap by adjusting for dermatology condition distribution differences across clinical settings.

BACKGROUND: Generalisation of artificial intelligence (AI) models to a new setting is challenging. I...

Research on insider threat detection based on personalized federated learning and behavior log analysis.

As the cybersecurity landscape becomes increasingly challenging, insider threat detection has emerge...

Detecting cyber attacks in vehicle networks using improved LSTM based optimization methodology.

The growing adoption of intelligent transportation systems and connected vehicle networks has raised...

Revolutionizing diabetes care: the role of artificial intelligence in prevention, diagnosis, and patient care.

UNLABELLED: Millions of people worldwide have diabetes, a disease that is becoming more common and h...

Advancing Musculoskeletal Care Using AI and Digital Health Applications: A Review of Commercial Solutions.

Artificial intelligence (AI) and digital health (DH) solutions are reshaping musculoskeletal (MSK) c...

Distributed denial of service (DDoS) classification based on random forest model with backward elimination algorithm and grid search algorithm.

Distributed Denial of Service (DDoS) attacks pose significant threats to network security, disruptin...

Standardization and accuracy of race and ethnicity data: Equity implications for medical AI.

The rapid integration of artificial intelligence (AI) into healthcare has raised many concerns about...

Surgery without distance: will 5G-based robot-assisted telesurgery redefine modern surgery?

The rapid advancement of the 5G technology is catalyzing a paradigm shift in the realm of remote sur...

The State of Telemedicine, Telerehabilitation, and Virtual Care in Musculoskeletal Health: A Narrative Review.

Telemedicine has become an increasingly important component of musculoskeletal care, with recent adv...

Enhancing Security in CPS Industry 5.0 using Lightweight MobileNetV3 with Adaptive Optimization Technique.

Advanced Cyber-Physical Systems (CPS) that facilitate seamless communication between humans, machine...

Aligning With the Goals of the Planetary Health Concept Regarding Ecological Sustainability and Digital Health: Scoping Review.

BACKGROUND: Climate change, driven by greenhouse gas emissions, threatens human health and biodivers...

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