دورية أكاديمية
Artificial intelligence in improving the outcome of surgical treatment in colorectal cancer.
| العنوان: | Artificial intelligence in improving the outcome of surgical treatment in colorectal cancer. |
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| المؤلفون: | Avram MF; Department of Surgery X, 1st Surgery Discipline, 'Victor Babeş' University of Medicine and Pharmacy Timişoara, Timişoara, Romania.; Department of Mathematics, Politehnica University Timisoara, Timişoara, Romania., Lazăr DC; Department V of Internal Medicine I, Discipline of Internal Medicine IV, 'Victor Babeş' University of Medicine and Pharmacy Timişoara, Timişoara, Romania., Mariş MI; Department of Functional Sciences, Division of Physiopathology, 'Victor Babes' University of Medicine and Pharmacy Timisoara, Timisoara, Romania.; Center for Translational Research and Systems Medicine, 'Victor Babes' University of Medicine and Pharmacy Timisoara, Timisoara, Romania., Olariu S; Department of Surgery X, 1st Surgery Discipline, 'Victor Babeş' University of Medicine and Pharmacy Timişoara, Timişoara, Romania. |
| المصدر: | Frontiers in oncology [Front Oncol] 2023 Jan 17; Vol. 13, pp. 1116761. Date of Electronic Publication: 2023 Jan 17 (Print Publication: 2023). |
| نوع المنشور: | Journal Article; Review |
| اللغة: | English |
| بيانات الدورية: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101568867 Publication Model: eCollection Cited Medium: Print ISSN: 2234-943X (Print) Linking ISSN: 2234943X NLM ISO Abbreviation: Front Oncol Subsets: PubMed not MEDLINE |
| أسماء مطبوعة: | Original Publication: [Lausanne : Frontiers Research Foundation] |
| مستخلص: | Background: A considerable number of recent research have used artificial intelligence (AI) in the area of colorectal cancer (CRC). Surgical treatment of CRC still remains the most important curative component. Artificial intelligence in CRC surgery is not nearly as advanced as it is in screening (colonoscopy), diagnosis and prognosis, especially due to the increased complexity and variability of structures and elements in all fields of view, as well as a general shortage of annotated video banks for utilization. Methods: A literature search was made and relevant studies were included in the minireview. Results: The intraoperative steps which, at this moment, can benefit from AI in CRC are: phase and action recognition, excision plane navigation, endoscopy control, real-time circulation analysis, knot tying, automatic optical biopsy and hyperspectral imaging. This minireview also analyses the current advances in robotic treatment of CRC as well as the present possibility of automated CRC robotic surgery. Conclusions: The use of AI in CRC surgery is still at its beginnings. The development of AI models capable of reproducing a colorectal expert surgeon's skill, the creation of large and complex datasets and the standardization of surgical colorectal procedures will contribute to the widespread use of AI in CRC surgical treatment. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2023 Avram, Lazăr, Mariş and Olariu.) |
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| فهرسة مساهمة: | Keywords: annotated video banks; artificial intelligence; automated robotic surgery; colorectal cancer; endoscopy control; excision plane navigation; phase recognition |
| تواريخ الأحداث: | Date Created: 20230203 Latest Revision: 20230204 |
| رمز التحديث: | 20231215 |
| مُعرف محوري في PubMed: | PMC9886660 |
| DOI: | 10.3389/fonc.2023.1116761 |
| PMID: | 36733307 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 2234-943X |
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| DOI: | 10.3389/fonc.2023.1116761 |