Public Health & Policy

Military Medicine

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

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Medical machine learning operations: a framework to facilitate clinical AI development and deployment in radiology.

The integration of machine-learning technologies into radiology practice has the potential to signif...

Digital Diabetes Management Technologies for Type 2 Diabetes: A Systematic Review of Home-Based Care Interventions.

Digital diabetes management technologies (DDMTs) have emerged as promising tools for improving glyce...

Artificial Intelligence-Driven Telehealth Framework for Detecting Nystagmus.

PURPOSE: This study reports the implementation of a proof-of-concept, artificial intelligence (AI)-d...

The long journey of artificial intelligence in medicine: an overview.

Artificial intelligence (AI) has its roots in the history of philosophy and of applied mathematics o...

Towards a Sociology of Healthcare Robots.

We propose a sociological approach to healthcare robots that emphasises the heterogeneous ethics of ...

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...

Mushroom species classification and implementation based on improved MobileNetV3.

Current methods for mushroom species classification face limitations in generalization ability and l...

Generative AI and the profession of genetic counseling.

The development of artificial intelligence (AI) including generative large language models (LLMs) an...

Artificial intelligence in gastroenterology: Ethical and diagnostic challenges in clinical practice.

This article discusses the manuscript recently published in the , which explores the application of ...

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...

Assessing ML classification algorithms and NLP techniques for depression detection: An experimental case study.

CONTEXT AND BACKGROUND: Depression has affected millions of people worldwide and has become one of t...

Rice disease detection method based on multi-scale dynamic feature fusion.

In order to enhance the accuracy of rice leaf disease detection in complex farmland environments, an...

Hybrid deep learning model for accurate and efficient android malware detection using DBN-GRU.

The rapid growth of Android applications has led to an increase in security threats, while tradition...

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, ...

[A study on post-traumatic stress disorder classification based on multi-atlas multi-kernel graph convolutional network].

Post-traumatic stress disorder (PTSD) presents with complex and diverse clinical manifestations, mak...

Assessing diagnostic performance for common skin diseases using an AI-assisted tele-expertise platform: a proof of concept.

Advancements in machine learning (ML) are making artificial intelligence more feasible in dermatolog...

Primary care research on hypertension: A bibliometric analysis using machine-learning.

Hypertension is one of the most important chronic diseases worldwide. Hypertension is a critical con...

Applications of Machine Learning on Electronic Health Record Data to Combat Antibiotic Resistance.

There is growing excitement about the clinical use of artificial intelligence and machine learning (...

A future role for health applications of large language models depends on regulators enforcing safety standards.

Among the rapid integration of artificial intelligence in clinical settings, large language models (...

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