Public Health & Policy

Military Medicine

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

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Telemedicine as a special case of machine translation.

Machine translation is evolving quite rapidly in terms of quality. Nowadays, we have several machine...

FIR: An Effective Scheme for Extracting Useful Metadata from Social Media.

Recently, the use of social media for health information exchange is expanding among patients, physi...

Combining conceptual graphs and argumentation for aiding in the teleexpertise.

Current medical information systems are too complex to be meaningfully exploited. Hence there is a n...

Negative Affect Instability among Individuals with Comorbid Borderline Personality Disorder and Posttraumatic Stress Disorder.

Ecological momentary assessment (EMA; Stone & Shiffman, 1994) was utilized to examine affective inst...

Utilizing Telemedicine in the Trauma Intensive Care Unit: Does It Impact Teamwork?

BACKGROUND: The aim of this study was to examine the impact of a telemedical robot on trauma intensi...

Bridging a translational gap: using machine learning to improve the prediction of PTSD.

BACKGROUND: Predicting Posttraumatic Stress Disorder (PTSD) is a pre-requisite for targeted preventi...

Robotic telepresence versus standardly supervised stroke alert team assessments.

BACKGROUND: Telemedicine has created access to emergency stroke care for patients in all communities...

AI-Assisted Detection Support for Middle Ear Diseases Using Multimodal Large Language Models.

Middle ear diseases, such as otitis media and middle ear effusion, are difficult to accurately detec...

Multivariate multi-horizon time-series forecasting for real-time patient monitoring based on cascaded fine tuning of attention-based models.

The real-time forecasting of critical physiological indicators in intensive care units (ICUs) is ess...

So You've Got a High AUC, Now What? An Overview of Important Considerations when Bringing Machine-Learning Models from Computer to Bedside.

Machine-learning (ML) models have the potential to transform health care by enabling more personaliz...

Systematic literature review on the application of explainable artificial intelligence in palliative care studies.

BACKGROUND: As machine learning models become increasingly prevalent in palliative care, explainabil...

Artificial intelligence in bacterial diagnostics and antimicrobial susceptibility testing: Current advances and future prospects.

Recently, artificial intelligence (AI) has emerged as a transformative tool, enhancing the speed, ac...

IPEM topical report: results of a 2024 UK survey of artificial intelligence in medical physics and clinical engineering.

Medical physics and clinical engineering (MPCE) professionals have a critical role in the safe and e...

Real-time brain tumor detection in intraoperative ultrasound: From model training to deployment in the operating room.

Intraoperative ultrasound (ioUS) is a valuable tool in brain tumor surgery due to its versatility, a...

Intuitive judgements towards artificial intelligence verdicts of moral transgressions.

Automated decision-making systems have become increasingly prevalent in morally salient domains of s...

Arch-Net: Model conversion and quantization for architecture agnostic model deployment.

The significant computational demands of Deep Neural Networks (DNNs) present a major challenge for t...

[The analysis of invention patents in the field of artificial intelligent medical devices].

The emergence of new-generation artificial intelligence technology has brought numerous innovations ...

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