# Artificial intelligence in screening and diagnosis of surgical diseases: A narrative review

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/artificial-intelligence-in-screening-and-diagnosis-of-surgical-diseases-a/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Giuseppe Palomba,Agostino Fernicola,Marcello Della Corte,Marianna Capuano,Giovanni Domenico De Palma,Giovanni Aprea |
| Citations | 9 |
| DOI | 10.3934/publichealth.2024028 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | http://www.aimspress.com/aimspress-data/aimsph/2024/2/PDF/publichealth-11-02-028.pdf |
| OpenAlex ID | https://openalex.org/W4395111332 |
| PMID | 39027395 |
| Type | review |
| Year | 2024 |

## Paper authors

- [Agostino Fernicola](https://scholariq.org/researchers/agostino-fernicola/)

## Paper primary topic

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

## Paper topics

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

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