Biomedical Engineering & Digital Health Technologies

Technology- and engineering-focused research related to health, including medical imaging, biomedical signals, biosensors, health informatics, AI-assisted diagnostic technologies, medical devices, and computational health. This area is not a general clinical medicine section.

Scope Guidance

What We Publish

Submissions in this area should make a clear scientific, engineering, computational, analytical, or interdisciplinary contribution. Suitable research includes:

Medical image analysis, segmentation, detection, reconstruction, registration, and image-guided technologies.

Biomedical signal processing, physiological monitoring, wearable sensing, and biosensors.

AI-assisted diagnostic support, clinical decision-support technology, and validated health prediction models.

Medical devices, rehabilitation engineering, assistive technologies, and biomedical instrumentation.

Health informatics, digital health platforms, remote monitoring, telehealth technologies, and secure health data systems.

Bioinformatics and computational methods when directly connected to biomedical engineering or digital-health questions.

Illustrative Examples

Example Research Directions

The examples below illustrate the type and level of research that can fit this area. They are examples, not a closed list.

Deep learning for automated lesion segmentation in multimodal medical images

Wearable biosensor fusion for non-invasive physiological monitoring

Explainable AI for computer-aided diagnostic support

Edge-based biomedical signal analysis for remote health monitoring

Secure interoperable architecture for digital-health data exchange

Sensor-driven rehabilitation technology with quantitative functional assessment

Scope Boundaries

Generally Not Suitable

Pure clinical case reports, case series, or treatment descriptions with no engineering/computational contribution.

Drug efficacy, pharmacological, surgical, or therapeutic trials that are primarily clinical medicine.

General public-health surveys without a substantial technological, analytical, or computational contribution.

Important: A manuscript is assessed by its actual research contribution and scope fit, not only by its subject label. Borderline interdisciplinary work may still be suitable when the scientific or technological contribution is clear.

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