# Nigam H. Shah

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/nigam-h-shah/

## Facts

| Field | Value |
| --- | --- |
| Citations | 34,682 |
| Field | Biomedical Text Mining and Ontologies |
| h-index | 83 |
| i10-index | 303 |
| Last Known Institution | Stanford Health Care |
| OpenAlex ID | https://openalex.org/A5041175834 |
| ORCID iD | https://orcid.org/0000-0001-9385-7158 |
| Works | 571 |

## Researcher papers

- [Toward expert-level medical question answering with large language models](https://scholariq.org/papers/toward-expert-level-medical-question-answering-with-large-language-models/)
- [Testing and Evaluation of Health Care Applications of Large Language Models](https://scholariq.org/papers/testing-and-evaluation-of-health-care-applications-of-large-language-models/)
- [MINIMAR (MINimum Information for Medical AI Reporting): Developing reporting standards for artificial intelligence in health care](https://scholariq.org/papers/minimar-minimum-information-for-medical-ai-reporting-developing-reporting/)
- [Making Machine Learning Models Clinically Useful](https://scholariq.org/papers/making-machine-learning-models-clinically-useful/)

## Researcher topics

- [Biomedical Text Mining and Ontologies](https://scholariq.org/topics/biomedical-text-mining-and-ontologies/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [Electronic Health Records Systems](https://scholariq.org/topics/electronic-health-records-systems/)
- [Semantic Web and Ontologies](https://scholariq.org/topics/semantic-web-and-ontologies/)

## Researcher university

- [Stanford Health Care](https://scholariq.org/institutions/stanford-health-care/)

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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.