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Biomedical Technology

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Implementation of a new Digi-HTA process for digital health technologies in Finland.

International journal of technology assessment in health care
OBJECTIVES: There has been a lack of health technology assessment (HTA) methods for novel digital health technologies (DHTs) such as mHealth, artificial intelligence, and robotics in Finland. The Digi-HTA method has been developed for this purpose. T...

Artificial intelligence (AI) and machine learning (ML) based decision support systems in mental health: An integrative review.

International journal of mental health nursing
An integrative review investigating the incorporation of artificial intelligence (AI) and machine learning (ML) based decision support systems in mental health care settings was undertaken of published literature between 2016 and 2021 across six data...

Artificial Intelligence-Based Consumer Health Informatics Application: Scoping Review.

Journal of medical Internet research
BACKGROUND: There is no doubt that the recent surge in artificial intelligence (AI) research will change the trajectory of next-generation health care, making it more approachable and accessible to patients. Therefore, it is critical to research pati...

Wearable Bioimpedance-Based Deep Learning Techniques for Live Fish Health Assessment under Waterless and Low-Temperature Conditions.

Sensors (Basel, Switzerland)
(1) Background: At present, physiological stress detection technology is a critical means for precisely evaluating the comprehensive health status of live fish. However, the commonly used biochemical tests are invasive and time-consuming and cannot s...

Federated Semi-Supervised Learning for Medical Image Segmentation via Pseudo-Label Denoising.

IEEE journal of biomedical and health informatics
Distributed big data and digital healthcare technologies have great potential to promote medical services, but challenges arise when it comes to learning predictive model from diverse and complex e-health datasets. Federated Learning (FL), as a colla...

Artificial intelligence and machine learning for clinical pharmacology.

British journal of clinical pharmacology
Artificial intelligence (AI) will impact many aspects of clinical pharmacology, including drug discovery and development, clinical trials, personalized medicine, pharmacogenomics, pharmacovigilance and clinical toxicology. The rapid progress of AI in...

Leveraging Generative AI Tools to Support the Development of Digital Solutions in Health Care Research: Case Study.

JMIR human factors
BACKGROUND: Generative artificial intelligence has the potential to revolutionize health technology product development by improving coding quality, efficiency, documentation, quality assessment and review, and troubleshooting.