Military Medicine

Robust Real-Time Embedded EMG Recognition Framework Using Temporal Convolutional Networks on a Multicore IoT Processor.

Hand movement classification via surface electromyographic (sEMG) signal is a well-established appro...

The use of machine learning techniques in trauma-related disorders: a systematic review.

Establishing the diagnosis of trauma-related disorders such as Acute Stress Disorder (ASD) and Postt...

Protocol for the Effectiveness of an Anesthesiology Control Tower System in Improving Perioperative Quality Metrics and Clinical Outcomes: the TECTONICS randomized, pragmatic trial.

Perioperative morbidity is a public health priority, and surgical volume is increasing rapidly. Wit...

The Real Era of the Art of Medicine Begins with Artificial Intelligence.

Physicians have been performing the art of medicine for hundreds of years, and since the ancient era...

An Effective LSTM Recurrent Network to Detect Arrhythmia on Imbalanced ECG Dataset.

To reduce the high mortality rate from cardiovascular disease (CVD), the electrocardiogram (ECG) bea...

KETOS: Clinical decision support and machine learning as a service - A training and deployment platform based on Docker, OMOP-CDM, and FHIR Web Services.

BACKGROUND AND OBJECTIVE: To take full advantage of decision support, machine learning, and patient-...

Automated diagnosis of heart valve degradation using novelty detection algorithms and machine learning.

The blood flow through the major vessels holds great diagnostic potential for the identification of ...

PTSD and its dissociative subtype through the lens of the insula: Anterior and posterior insula resting-state functional connectivity and its predictive validity using machine learning.

Individuals with post-traumatic stress disorder (PTSD) typically experience states of reliving and h...

Machine-learning-based classification between post-traumatic stress disorder and major depressive disorder using P300 features.

BACKGROUND: The development of optimal classification criteria for specific mental disorders which s...

Artificial intelligence-assisted telemedicine platform for cataract screening and management: a potential model of care for global eye health.

Do no harm: a roadmap for responsible machine learning for health care.

Interest in machine-learning applications within medicine has been growing, but few studies have pro...

Strategies to Tackle the Global Burden of Diabetic Retinopathy: From Epidemiology to Artificial Intelligence.

Diabetes is a global public health disease projected to affect 642 million adults by 2040, with abou...

Machine Learning Model for Imbalanced Cholera Dataset in Tanzania.

Cholera epidemic remains a public threat throughout history, affecting vulnerable population living ...

Implementation of a cloud-based referral platform in ophthalmology: making telemedicine services a reality in eye care.

BACKGROUND: Hospital Eye Services (HES) in the UK face an increasing number of optometric referrals ...

Telemedicine, Telestroke, and Artificial Intelligence Can Be Coded with the International Classification of Health Interventions.

Clinical-grade computational pathology using weakly supervised deep learning on whole slide images.

The development of decision support systems for pathology and their deployment in clinical practice ...

Image Quality Improvement of Hand-Held Ultrasound Devices With a Two-Stage Generative Adversarial Network.

As a widely used imaging modality in the medical field, ultrasound has been applied in community med...

Intensive Care Unit Telemedicine in the Era of Big Data, Artificial Intelligence, and Computer Clinical Decision Support Systems.

This article examines the history of the telemedicine intensive care unit (tele-ICU), the current st...

Use of machine learning in predicting clinical response to transcranial magnetic stimulation in comorbid posttraumatic stress disorder and major depression: A resting state electroencephalography study.

BACKGROUND: Repetitive transcranial magnetic stimulation (TMS) is clinically effective for major dep...

Multisource Transfer Learning for Cross-Subject EEG Emotion Recognition.

Electroencephalogram (EEG) has been widely used in emotion recognition due to its high temporal reso...

Telehealth in Mental Health Nursing Education: Health Care Simulation With Remote Presence Technology.

The feasibility of integrating remote presence technology within a simulation scenario for psychiatr...