Public Health & Policy

Military Medicine

Latest AI and machine learning research in military medicine for healthcare professionals.

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[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...

A Comprehensive Survey of Foundation Models in Medicine.

Foundation models (FMs) are large-scale deep learning models trained on massive datasets, often usin...

Selective Deployment of AI in Healthcare and the Problem of Declining Human Expertise.

Machine-learning algorithms are transforming healthcare diagnostics and prognostics. However, they s...

Integrating Artificial Intelligence in Dermatological Cancer Screening and Diagnosis: Efficacy, Challenges, and Future Directions.

Skin cancer is the most common cancer in the United States, with incidence rates continuing to rise ...

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...

Brain circuits that regulate social behavior.

Social interactions are essential for the survival of individuals and the reproduction of population...

A multi-site study of clinician perspectives in the lifecycle of an algorithmic risk prediction tool.

Recent advancements in the performative capacities of artificial intelligence (AI), machine learning...

Real-time health monitoring by examining the role of next-generation elements in a medical app.

The healthcare sector is undergoing a profound transformation driven by the rapid rise in healthcare...

Hit Around: Substitutional Moving Robot for Immersive and Exertion Interaction with Encountered-Type Haptic.

Previous works have shown the potential of immersive technologies to make physical activities a more...

Decoding vital variables in predicting different phases of suicide among young adults with childhood sexual abuse: a machine learning approach.

Young adults with childhood sexual abuse (CSA) are an especially vulnerable group to suicide. Suicid...

Tuberculosis detection using few shot learning.

Tuberculosis (TB), a contagious disease, significantly affects lungs functioning. Amongst multiple d...

Artificial intelligence in the diagnosis and management of refractive errors.

Refractive error is among the leading causes of visual impairment globally. The diagnosis and manage...

Implementation framework for AI deployment at scale in healthcare systems.

Artificial intelligence (AI) and digital health technologies are increasingly used in the medical fi...

Extreme Weather, Vulnerable Populations, and Mental Health: The Timely Role of AI Interventions.

Environmental disasters are becoming increasingly frequent and severe, disproportionately impacting ...

PoseidonQ: A Free Machine Learning Platform for the Development, Analysis, and Validation of Efficient and Portable QSAR Models for Drug Discovery.

The advent of powerful machine learning algorithms as well as the availability of high volume of pha...

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