# npj Digital Medicine

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/npj-digital-medicine/

## Facts

| Field | Value |
| --- | --- |
| APC (USD) | 3,590 |
| Citations | 126,689 |
| h-index | 164 |
| Homepage | https://www.nature.com/npjdigitalmed/ |
| Open Access | true |
| ISSN-L | 2398-6352 |
| ISSNs | 2398-6352 |
| OpenAlex ID | https://openalex.org/S4210195431 |
| Publisher | Nature Portfolio |
| Works | 3,049 |

## Journal papers

Showing 12 of 47.

- [Deep learning-enabled medical computer vision](https://scholariq.org/papers/deep-learning-enabled-medical-computer-vision/)
- [Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis](https://scholariq.org/papers/diagnostic-accuracy-of-deep-learning-in-medical-imaging-a-systematic-review-and/)
- [Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences](https://scholariq.org/papers/integrating-machine-learning-and-multiscale-modeling-perspectives-challenges-and/)
- [Wearable sensors for monitoring the physiological and biochemical profile of the athlete](https://scholariq.org/papers/wearable-sensors-for-monitoring-the-physiological-and-biochemical-profile-of-the/)
- [Deep learning interpretation of echocardiograms](https://scholariq.org/papers/deep-learning-interpretation-of-echocardiograms/)
- [Self-supervised learning for medical image classification: a systematic review and implementation guidelines](https://scholariq.org/papers/self-supervised-learning-for-medical-image-classification-a-systematic-review/)
- [Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare](https://scholariq.org/papers/clinical-artificial-intelligence-quality-improvement-towards-continual/)
- [Machine intelligence in healthcare—perspectives on trustworthiness, explainability, usability, and transparency](https://scholariq.org/papers/machine-intelligence-in-healthcare-perspectives-on-trustworthiness/)
- [Wearable sensors for monitoring the internal and external workload of the athlete](https://scholariq.org/papers/wearable-sensors-for-monitoring-the-internal-and-external-workload-of-the/)
- [Guidelines for wrist-worn consumer wearable assessment of heart rate in biobehavioral research](https://scholariq.org/papers/guidelines-for-wrist-worn-consumer-wearable-assessment-of-heart-rate-in/)
- [Diagnostic reasoning prompts reveal the potential for large language model interpretability in medicine](https://scholariq.org/papers/diagnostic-reasoning-prompts-reveal-the-potential-for-large-language-model/)
- [Deep learning and alternative learning strategies for retrospective real-world clinical data](https://scholariq.org/papers/deep-learning-and-alternative-learning-strategies-for-retrospective-real-world/)

## Journal top topics

Showing 8 of 25.

- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [Digital Mental Health Interventions](https://scholariq.org/topics/digital-mental-health-interventions/)
- [Mobile Health and mHealth Applications](https://scholariq.org/topics/mobile-health-and-mhealth-applications/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Telemedicine and Telehealth Implementation](https://scholariq.org/topics/telemedicine-and-telehealth-implementation/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.