Leveraging AI to facilitate clinical decision-making
- Submission status
- Open
- Submission deadline
The last decade has seen exciting developments in the field of artificial intelligence (AI) and its applications in medicine. Within AI, machine learning approaches in particular, have shown great promise to improve accuracy, reproducibility, and efficiency of diagnostic processes and therapeutic decisions. For example, digital image processing is transforming the diagnostic process in specialties such as oncology, hematology, dermatology, and the fields of radiology and pathology. In diagnostic pathology, algorithms have been shown to perform at least as well as human pathologists, reducing diagnostic time, and improving accuracy and workloads. However, challenges remain in the implementation of AI in clinical practice due to a combination of factors, such as model biases, inadequate validation, and insufficient AI literacy.
This Collection welcomes submissions that address the challenges in clinical implementation of AI approaches to facilitate or improve clinical decision-making. This includes studies using deep learning, natural language processing, and foundation models, among other AI approaches. We are particularly interested in work with immediate relevance to medical practice or education and that demonstrates how AI can be used in a green, fair and ethical way to provide equitable care while being environmentally sustainable.
In addition to original research, we are open to receiving other article types, such as Reviews, Perspectives, and Comments that offer significant insights into the topic.
The Collection will publish original research Articles, and Commentary such as Reviews, Perspectives and Comments (full details on content types can be found here). Papers will be published in Communications Medicine as soon as they are accepted and then collected together and promoted on the Collection homepage. Collections are associated with a call for papers and are managed by one or more of our Editorial Board Members and the journal's Editors.
This Collection welcomes submissions from all authors – and not by invitation only – on the condition that the manuscripts fall within the scope of the Collection and of Communications Medicine more generally. See our editorial process page for more details.
All submissions are subject to the same peer review process and editorial standards as regular Communications Medicine articles, including the journal’s policy on competing interests. See our Collections guidelines for more details.
This Collection is not supported by sponsorship.
