Artificial Intelligence-Assisted Colonoscopy for Colorectal Lesion Detection: Current Evidence, Challenges, and Future Directions.

Antzoulas A, Mulita F, Leivaditis V, Liolis E, Dimopoulos P, Tzelepi V, Maroulis I, Anagnostopoulos CN

DOI: 10.3390/jcm15176558
Published: 2026 Aug 25
Container: Journal of clinical medicine
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/jcm15176558,
  title = {Artificial Intelligence-Assisted Colonoscopy for Colorectal Lesion Detection: Current Evidence, Challenges, and Future Directions.},
  author = {Antzoulas A and Mulita F and Leivaditis V and Liolis E and Dimopoulos P and Tzelepi V and Maroulis I and Anagnostopoulos CN},
  year = {2026},
  journal = {Journal of clinical medicine},
  doi = {10.3390/jcm15176558},
  url = {https://doi.org/10.3390/jcm15176558}
}

RIS

TY  - JOUR
TI  - Artificial Intelligence-Assisted Colonoscopy for Colorectal Lesion Detection: Current Evidence, Challenges, and Future Directions.
AU  - Antzoulas A
AU  - Mulita F
AU  - Leivaditis V
AU  - Liolis E
AU  - Dimopoulos P
AU  - Tzelepi V
AU  - Maroulis I
AU  - Anagnostopoulos CN
PY  - 2026
JO  - Journal of clinical medicine
DO  - 10.3390/jcm15176558
UR  - https://doi.org/10.3390/jcm15176558
ER  -

APA

A, A., F, M., V, L., E, L., P, D., V, T., I, M., & CN, A. (2026). Artificial Intelligence-Assisted Colonoscopy for Colorectal Lesion Detection: Current Evidence, Challenges, and Future Directions.. Journal of clinical medicine. https://doi.org/10.3390/jcm15176558

Source records

pubmed · retrieved 2026-09-25T04:28:27.056Z