Artificial intelligence-enabled prediction of oral squamous cell carcinoma recurrence and treatment efficacy
Saved in:
| Main Authors: | Sathish Sankar, Rajakumar Govindasamy |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-06-01
|
| Series: | Oral Oncology Reports |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772906024003030 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
TREATMENT OPTIONS FOR LOCOREGIONAL RECURRENCES OF ORAL AND OROPHARYNGEAL MUCOSAL SQUAMOUS CELL CARCINOMA
by: I. A. Zaderenko, et al.
Published: (2015-04-01) -
The impact of close surgical margins on recurrence in oral squamous cell carcinoma
by: Joseph Solomon, et al.
Published: (2021-02-01) -
Impact of perioperative dexmedetomidine on recurrence and survival outcomes in oral cavity squamous cell carcinoma
by: Jiaqiang Zhang, et al.
Published: (2025-07-01) -
PROGNOSTIC ROLE OF LABORATORY AND IMMUNOHISTOCHEMICAL MARKERS IN THE RECURRENCE OF ORAL MUCOSAL SQUAMOUS CELL CARCINOMA
by: S. L. Kutukova, et al.
Published: (2015-04-01) -
The use of artificial intelligence in the diagnosis of oral carcinoma
by: Francesco Gianfreda, et al.
Published: (2025-02-01)