Military Medicine

A Comprehensive Survey of Foundation Models in Medicine.

Foundation models (FMs) are large-scale deep learning models trained on massive datasets, often using self-supervised learning techniques. These models serve as a versatile base for a wide range of downstream tasks, including those in medicine and healthcare. FMs have demonstrated remarkable success across multiple healthcare domains. However, existing surveys in this field do not comprehensively ...

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

Machine-learning algorithms are transforming healthcare diagnostics and prognostics. However, they sometimes underperform for groups underrepresented in their training data. Vandersluis and Savulescu have suggested selectively deploying these algorithms for populations well represented in the training data, while excluding underrepresented groups until improvements are made to the algorithms. In t...

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 images but often face challenges in real-world clini...

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 of the modern world. Their management requires co...

Brain circuits that regulate social behavior.

Social interactions are essential for the survival of individuals and the reproduction of populations. Social stressors, such as social defeat and iso...

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 applications (mHealth apps), which are becoming i...

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 (ML), and algorithmic-based tools open up numerou...

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 engaging experience. With encountered-type haptic...

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. Suicide encompasses different phases, but for CSA surviv...

Implementation framework for AI deployment at scale in healthcare systems.

Artificial intelligence (AI) and digital health technologies are increasingly used in the medical field. Despite promises of leading the future of per...

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

Environmental disasters are becoming increasingly frequent and severe, disproportionately impacting vulnerable populations who face compounded risks d...

The present and future of cardiological telemonitoring in Europe: a statement from seven European countries.

Cardiovascular diseases remain one of the leading causes of death worldwide, placing a significant burden on individuals, families and healthcare syst...

Advancing Clinical Information Systems: Harnessing Telemedicine, Data Science, and AI for Enhanced and More Precise Healthcare Delivery.

OBJECTIVE: In this synopsis, the editors of the Clinical Information Systems (CIS) section of the IMIA Yearbook of Medical Informatics overview recent...

A Quantitative Study of Factors Influencing Myasthenia Gravis Telehealth Examination Score.

INTRODUCTION/AIMS: The adoption of telemedicine is generally considered as advantageous for patients and physicians, but there is limited rigorous ass...

Computer vision and tactile glove: A multimodal model in lifting task risk assessment.

Work-related injuries from overexertion, particularly lifting, are a major concern in occupational safety. Traditional assessment tools, such as the R...

Multimodal learning-based speech enhancement and separation, recent innovations, new horizons, challenges and real-world applications.

With the increasing global prevalence of disabling hearing loss, speech enhancement technologies have become crucial for overcoming communication barr...

[Therapeutic patient education and telemedicine in the age of artificial intelligence].

Since the promulgation of the July 21, 2009 law on hospital reform and patients, health and territories, known as the HPST law, therapeutic patient ed...

Day-to-day dynamics of facial emotion expressions in posttraumatic stress disorder.

Facial expressions are an essential component of emotions that may reveal mechanisms maintaining posttraumatic stress disorder (PTSD). However, most r...

Association of Psychological Resilience With Decelerated Brain Aging in Cognitively Healthy World Trade Center Responders.

BACKGROUND: Despite their exposure to potentially traumatic stressors, the majority of World Trade Center (WTC) responders-those who worked on rescue,...

Application of the LDA model to identify topics in telemedicine conversations on the X social network.

The evolution experienced by global society, in the post-COVID 19 era, is marked by the quite obligatory use of digital media in many sectors, as is t...