Military Medicine

Design of a Digital Twin of the Heart for the Management of Heart Failure Patients.

Heart failure poses a significant global health burden with high prevalence and mortality rates. A p...

Healthcare LLMs Go to Market: A Realist Review of Product Launch News.

We provide a realist review of product launches for Large Language Models (LLMs) in the healthcare i...

Enabling AI in Radiology: Evaluation of an AI Deployment Process.

Artificial intelligence (AI) is expected to transform healthcare systems and make them more sustaina...

The diagnostic and triage accuracy of the GPT-3 artificial intelligence model: an observational study.

BACKGROUND: Artificial intelligence (AI) applications in health care have been effective in many are...

Artificial intelligence for diabetes care: current and future prospects.

Artificial intelligence (AI) use in diabetes care is increasingly being explored to personalise care...

[The innovation and challenge of artificial intelligence in the whole process management of fundus disease].

Artificial intelligence (AI) has demonstrated revolutionary potential and wide-ranging applications ...

Acute Stress Disorder Detection using Machine Learning based on resting-state fMRI.

Early diagnosis of Acute Stress Disorder (ASD) is important, given its potential progression to post...

Personalised Speech-Based PTSD Prediction Using Weighted-Instance Learning.

Post-traumatic stress disorder (PTSD) is a prevalent disorder that can develop in people who have ex...

Remote Motor Rehabilitation: EMG-IMU based Deep Learning Model Improves the Estimate of Wrist Kinematics.

Technology for motor rehabilitation faces challenges in uncontrolled settings, such as at home. In t...

Smartphone-Based Balance Assessment Using Machine Learning.

This study explores the potential of smartphones to objectively assess balance, which is crucial for...

Video-based Clinical Gait Analysis in Parkinson's Disease: A Novel Approach Using Frontal Plane Videos and Machine Learning.

Gait can be significantly impaired by neurological conditions such as Parkinson's disease (PD). Gait...

Enhancing Model Generalizability In Parkinson's Disease Automatic Assessment: A Semi-Supervised Approach Across Independent Experiments.

Machine learning in Parkinson's disease assessment uses data from clinically-coded movements, such a...

Position Statements of the Emerging Trends Committee of the Asian Oceanian Society of Radiology on the Adoption and Implementation of Artificial Intelligence for Radiology.

Artificial intelligence (AI) is rapidly gaining recognition in the radiology domain as a greater num...

A Health Care Clinical Data Platform for Rapid Deployment of Artificial Intelligence and Machine Learning Algorithms for Cancer Care and Oncology Clinical Trials.

The xCures platform aggregates, organizes, structures, and normalizes clinical EMR data across care ...

[An overview of investments in the development of the Russian Medtech market and the prospects for the impact of digitalization in medicine on the economic performance of companies until 2030].

Today, the topic of digitalization, the introduction of innovations based on Big Data, the complexit...

Integrating and Adopting AI in the Radiology Workflow: A Primer for Standards and Integrating the Healthcare Enterprise (IHE) Profiles.

The deployment of artificial intelligence (AI) solutions in radiology practice creates new demands o...

[The ethics of IA in medicine must be based on the practical ethics of the healthcare relationship].

THE ETHICS OF IA IN MEDICINE MUST BE BASED ON THE PRACTICAL ETHICS OF THE HEALTHCARE RELATIONSHIP. A...

Sustainable deployment of clinical prediction tools-a 360° approach to model maintenance.

BACKGROUND: As the enthusiasm for integrating artificial intelligence (AI) into clinical care grows,...

Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare.

OBJECTIVE: The complexity and rapid pace of development of algorithmic technologies pose challenges ...

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With the emergence of innovations and technological advancements – exemplified by telemedicine...

Key issues face AI deployment in cancer care.