Call for Papers: AI Applications in Biomedical Engineering

JMIR Biomedical Engineering is inviting submissions for a new section titled "AI Applications in Biomedical Engineering." This themed section explores the integration of biomedical engineering and artificial intelligence (AI), focusing on how AI's capabilities are changing health care.

AI is rapidly advancing biomedical engineering, with the potential to contribute to medical device development, personalized diagnostics or treatment, patient outcome prediction, or drug discovery. Specifically, AI in biomedical engineering can assist in disease diagnosis and treatment optimization to predict patient prognoses. AI and machine learning applications can also enhance biological signal analysis and image processing in biomedical technologies, advancing fields such as brain-computer interfaces, neuroprosthetics, and medical imaging. This themed section aims to showcase current research on AI applications in biomedical engineering from engineers, clinicians, and industry experts.

We seek contributions that demonstrate how AI is being used in biomedical research, diagnosis, treatment, and patient care. We welcome original research, viewpoints, literature reviews, and research letters that provide insight into the applications of AI in biomedical engineering.

Topics for this new section in JMIR Biomedical Engineering include, for example, AI applications for:

  • Developing, designing, or improving medical devices, systems, and products
  • Augmenting biomedical processes (eg, diagnosis, drug delivery, disease management, or treatment)
  • Enhancing medical imaging technologies or processing (eg, image segmentation, image synthesis and image analysis)
  • Fusion of machine learning and domain knowledge, including feature extraction and computational modeling from biomedical images and annotation-efficient learning from biomedical imaging
  • Developing intelligent prosthetics, artificial limbs, or biomechanical enhancements
  • Addressing ethical issues related to the design and applications of AI in biomedical engineering

How to Submit

To submit an article to JMIR Biomedical Engineering, please visit the submission page. Consult the Instructions for Authors for more information on how to submit a manuscript.

For further information, please visit:
https://biomedeng.jmir.org

About JMIR Biomedical Engineering (JBME)

JMIR Biomedical Engineering (JBME) is a peer-reviewed journal indexed in PubMed, PubMed Central, Sherpa/Romeo, DOAJ and EBSCO/EBSCO Essentials. It focuses on applying engineering principles, technologies, and medical devices to medicine and biology. The journal would welcome manuscripts covering notable developments in the field of biomedical engineering, including but not limited to, computations, tissue engineering, drug delivery, nanotechnology, and applications of artificial intelligence (AI) for medical devices.

As an open access journal, we are read by clinicians and patients alike and have (as are all JMIR journals) a focus on readable and applied science reporting the design and evaluation of health innovations and emerging technologies. We publish original research, viewpoints, and reviews (both literature reviews and medical device/technology/app reviews).

JMIR Biomedical Engineering has been publishing since 2016 and features a rapid and thorough peer-review process.

JMIR Biomedical Engineering has been selected for inclusion in Scopus.

Most Popular Now

Philips Foundation 2024 Annual Report: E…

Marking its tenth anniversary, Philips Foundation released its 2024 Annual Report, highlighting a year in which the Philips Foundation helped provide access to quality healthcare for 46.5 million people around...

New AI Transforms Radiology with Speed, …

A first-of-its-kind generative AI system, developed in-house at Northwestern Medicine, is revolutionizing radiology - boosting productivity, identifying life-threatening conditions in milliseconds and offering a breakthrough solution to the global radiologist...

Scientists Argue for More FDA Oversight …

An agile, transparent, and ethics-driven oversight system is needed for the U.S. Food and Drug Administration (FDA) to balance innovation with patient safety when it comes to artificial intelligence-driven medical...

New Research Finds Specific Learning Str…

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto Area, differs from the real-world data, it could lead to patient harm...

Giving Doctors an AI-Powered Head Start …

Detection of melanoma and a range of other skin diseases will be faster and more accurate with a new artificial intelligence (AI) powered tool that analyses multiple imaging types simultaneously...

AI Agents for Oncology

Clinical decision-making in oncology is challenging and requires the analysis of various data types - from medical imaging and genetic information to patient records and treatment guidelines. To effectively support...

Patients say "Yes..ish" to the…

As artificial intelligence (AI) continues to be integrated in healthcare, a new multinational study involving Aarhus University sheds light on how dental patients really feel about its growing role in...

Brains vs. Bytes: Study Compares Diagnos…

A University of Maine study compared how well artificial intelligence (AI) models and human clinicians handled complex or sensitive medical cases. The study published in the Journal of Health Organization...

'AI Scientist' Suggests Combin…

An 'AI scientist', working in collaboration with human scientists, has found that combinations of cheap and safe drugs - used to treat conditions such as high cholesterol and alcohol dependence...

Start-ups in the Spotlight at MEDICA 202…

17 - 20 November 2025, Düsseldorf, Germany. MEDICA, the leading international trade fair and platform for healthcare innovations, will once again confirm its position as the world's number one hotspot for...