| Autor: |
Fulga, Ana, Iancu, Doriana, Dragostin, Oana-Maria, Fulga, Iuliu, Ciubara, Bogdan Alexandru, Musat, Carmina Liana, Dragostin, Ionut, Ciubara, Anamaria |
| Předmět: |
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| Zdroj: |
BRAIN: Broad Research in Artificial Intelligence & Neuroscience; Oct2024, Vol. 15 Issue 3, p167-179, 13p |
| Abstrakt: |
The application of artificial intelligence in esophageal tumor pathology highlights the ongoing and significant transformative impact AI has in medicine. This article provides a comprehensive overview of AI technologies' current use in diagnosing and treating esophageal squamous cell carcinoma (ESCC). Through our research, we identified and meticulously analyzed 33 relevant academic papers and studies that contribute to this field. These papers encompass a broad spectrum of AI applications related to the management of esophageal squamous cell carcinoma. AI integration and deployment in both the diagnosis process and therapeutic interventions for tumors offer highly promising prospects, for example, in endoscopic procedures AI algorithm can process endoscopic images in real-time to identify abnormalities that may be missed by the human eye, it can highlight subtle changes such as color variations, small growths or tissue anomalies, which might go unnoticed due to fatigue, distraction or human limitations in perceiving fine details. AI technologies enhance medical practice precision and effectiveness by significantly reducing the likelihood of human errors and offering practical, innovative solutions. Consequently, AI confluence with medical practice not only increases diagnosis accuracy but also improves the overall efficiency of treating esophageal squamous cell carcinoma. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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