Mariotti, C.; Mangoni, L.; Iorio, S.; Lombardo, V.; Fruttini, D.; Rizzo, C.; Chhablani, J.; Midena, E.; Lupidi, M.
Novel Artificial Intelligence-Based Assessment of Imaging Biomarkers in Full-Thickness Macular Holes: Preliminary Data from a Pivotal Trial. J. Clin. Med. 2024, 13, 628.
https://doi.org/10.3390/jcm13020628
AMA Style
Mariotti C, Mangoni L, Iorio S, Lombardo V, Fruttini D, Rizzo C, Chhablani J, Midena E, Lupidi M.
Novel Artificial Intelligence-Based Assessment of Imaging Biomarkers in Full-Thickness Macular Holes: Preliminary Data from a Pivotal Trial. Journal of Clinical Medicine. 2024; 13(2):628.
https://doi.org/10.3390/jcm13020628
Chicago/Turabian Style
Mariotti, Cesare, Lorenzo Mangoni, Silvia Iorio, Veronica Lombardo, Daniela Fruttini, Clara Rizzo, Jay Chhablani, Edoardo Midena, and Marco Lupidi.
2024. "Novel Artificial Intelligence-Based Assessment of Imaging Biomarkers in Full-Thickness Macular Holes: Preliminary Data from a Pivotal Trial" Journal of Clinical Medicine 13, no. 2: 628.
https://doi.org/10.3390/jcm13020628
APA Style
Mariotti, C., Mangoni, L., Iorio, S., Lombardo, V., Fruttini, D., Rizzo, C., Chhablani, J., Midena, E., & Lupidi, M.
(2024). Novel Artificial Intelligence-Based Assessment of Imaging Biomarkers in Full-Thickness Macular Holes: Preliminary Data from a Pivotal Trial. Journal of Clinical Medicine, 13(2), 628.
https://doi.org/10.3390/jcm13020628