# Artificial Intelligence & Tissue Biomarkers: Advantages, Risks and Perspectives for Pathology

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/artificial-intelligence-and-amp-tissue-biomarkers-advantages-risks-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Cesare Lancellotti,Pierandrea Cancian,Victor Savevski,Soumya Kotha,Filippo Fraggetta,Paolo Graziano,Luca Di Tommaso |
| Citations | 62 |
| DOI | 10.3390/cells10040787 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2073-4409/10/4/787/pdf?version=1618794119 |
| OpenAlex ID | https://openalex.org/W3144167624 |
| PMID | 33918173 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Soumya Kotha](https://scholariq.org/researchers/soumya-kotha/)

## Paper primary topic

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

## Paper topics

- [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/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)

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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.