# Nature Machine Intelligence

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/nature-machine-intelligence/

## Facts

| Field | Value |
| --- | --- |
| Open Access | false |
| ISSN-L | 2522-5839 |
| ISSNs | 2522-5839 |
| OpenAlex ID | https://openalex.org/S2912241403 |
| Publisher | Nature Portfolio |

## Journal papers

- [From local explanations to global understanding with explainable AI for trees](https://scholariq.org/papers/from-local-explanations-to-global-understanding-with-explainable-ai-for-trees/)
- [An interpretable mortality prediction model for COVID-19 patients](https://scholariq.org/papers/an-interpretable-mortality-prediction-model-for-covid-19-patients/)
- [Multimodal data fusion for cancer biomarker discovery with deep learning](https://scholariq.org/papers/multimodal-data-fusion-for-cancer-biomarker-discovery-with-deep-learning/)
- [Pathologist-level interpretable whole-slide cancer diagnosis with deep learning](https://scholariq.org/papers/pathologist-level-interpretable-whole-slide-cancer-diagnosis-with-deep-learning/)
- [A soft thumb-sized vision-based sensor with accurate all-round force perception](https://scholariq.org/papers/a-soft-thumb-sized-vision-based-sensor-with-accurate-all-round-force-perception/)
- [Artificial intelligence cooperation to support the global response to COVID-19](https://scholariq.org/papers/artificial-intelligence-cooperation-to-support-the-global-response-to-covid-19/)
- [Differential game theory for versatile physical human–robot interaction](https://scholariq.org/papers/differential-game-theory-for-versatile-physical-human-robot-interaction/)
- [Generative AI entails a credit–blame asymmetry](https://scholariq.org/papers/generative-ai-entails-a-credit-blame-asymmetry/)

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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.