Latest AI and machine learning research in military medicine for healthcare professionals.
Artificial Intelligence (AI) represents a significant milestone in health care's digital transformat...
Driven by technological advances from Industry 4.0, Healthcare 4.0 synthesizes medical sensors, arti...
BACKGROUND: Despite the recognition that developing artificial intelligence (AI) that is trustworthy...
BACKGROUND: Intrusive traumatic re-experiencing domain (ITRED) was recently introduced as a novel pe...
Physicians make critical time-constrained decisions every day. Clinical predictive models can help p...
The capability of a mobile robot to efficiently and safely perform complex missions is limited by it...
This Letter to the Editor provides an update on the research from the Glushkov Institute of Cybernet...
Electrocorticography (ECoG) is a minimally invasive approach frequently used clinically to map epile...
Standardized and thorough model reporting is an integral component in the development and deployment...
. Artificial intelligence (AI) methods have gained popularity in medical imaging research. The size ...
Federated learning (FL) is a privacy preserving approach to learning that overcome issues related to...
Current national and international guidelines for the ethical design and development of artificial i...
Clinical adoption of an artificial intelligence-enabled imaging tool requires critical appraisal of ...
Artificial intelligence (AI) is often cited as a possible solution to current issues faced by health...
Psychological distress is a major contributor to human physiology and pathophysiology, and it has be...
Transforming raw EHR data into machine learning model-ready inputs requires considerable effort. One...
Given the impact artificial intelligence (AI)-based medical technologies (hardware devices, software...
Quantitative phase retrieval (QPR) in propagation-based x-ray phase contrast imaging of heterogeneou...
Data drift refers to differences between the data used in training a machine learning (ML) model and...
The potential of artificial intelligence (AI) to reduce health care disparities and inequities is re...
Mobile health (mHealth) utilizes mobile devices, mobile communication techniques, and the Internet o...