npj Digital Medicine Open for Submissions
npj Digital Medicine is an online fully open-access journal dedicated to publishing high-quality peer-reviewed research in all aspects of digital medicine including the clinical application and implementation of digital and mobile technologies, virtual healthcare, and novel applications of artificial intelligence and informatics. The journal aims to guide innovation and the transformation of health and healthcare through the incorporation of novel digital and mobile technologies.
In addition to original research, the journal welcomes Brief Communications, Reviews, and thought-provoking Perspectives and Comment articles.
In addition to original research, the journal welcomes Brief Communications, Reviews, and thought-provoking Perspectives and Comment articles.
- Learning from the EHR to implement AI in healthcarepor Christian Rose on noviembre 21, 2024 at 12:00 am
npj Digital Medicine, Published online: 21 November 2024; doi:10.1038/s41746-024-01340-0The introduction of the electronic health record was heralded as a technology solution to improve care quality and efficiency, but these tools have contributed to increased administrative burden and burnout for clinicians. Today, artificial intelligence is receiving much of the same attention and promises as electronic health records. Can healthcare learn from the failures of electronic health records to maximize the potential of artificial intelligence?
- Publisher Correction: Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcarepor Anshul Thakur on noviembre 21, 2024 at 12:00 am
npj Digital Medicine, Published online: 21 November 2024; doi:10.1038/s41746-024-01342-yPublisher Correction: Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare
- The quality and safety of using generative AI to produce patient-centred discharge instructionspor Kristian Stanceski on noviembre 20, 2024 at 12:00 am
npj Digital Medicine, Published online: 20 November 2024; doi:10.1038/s41746-024-01336-wThe quality and safety of using generative AI to produce patient-centred discharge instructions
- Interpretable machine learning model for digital lung cancer prescreening in Chinese populations with missing datapor Shuaijie Zhang on noviembre 19, 2024 at 12:00 am
npj Digital Medicine, Published online: 19 November 2024; doi:10.1038/s41746-024-01309-zInterpretable machine learning model for digital lung cancer prescreening in Chinese populations with missing data
- An iterative approach for estimating domain-specific cognitive abilities from large scale online cognitive datapor Valentina Giunchiglia on noviembre 19, 2024 at 12:00 am
npj Digital Medicine, Published online: 19 November 2024; doi:10.1038/s41746-024-01327-xAn iterative approach for estimating domain-specific cognitive abilities from large scale online cognitive data