AI based precision medicine for gastric cancer is a promising field that aims to use AI techniques to analyze molecular, endoscopic, pathological and clinical data of gastric cancer patients and provide personalized diagnosis, treatment and prognosis¹. According to a systematic review by Jin et al. ¹, AI is mainly used for **molecular bio-information analysis**, **endoscopic detection** for Helicobacter pylori infection, chronic atrophic gastritis, early gastric cancer, invasion depth, and pathology recognition. AI may also be used to establish predictive models for evaluating lymph node metastasis, response to drug treatments, and prognosis. In addition, AI can be used for surgical training, skill assessment, and surgery guidance. The authors concluded that AI applications can play an important role in gastric cancer management in the era of precision medicine¹.
However, the effectiveness of AI based precision medicine for gastric cancer may depend on several factors, such as the quality and quantity of data, the validation and generalization of AI models, the ethical and legal issues of data sharing and privacy protection, and the integration of AI with clinical practice¹. Therefore, more studies are needed to evaluate the feasibility, accuracy and utility of AI based precision medicine for gastric cancer in different settings and populations.
Source: Conversation with Bing, 14/06/2023
(1) Artificial intelligence in gastric cancer: a systematic review. https://pubmed.ncbi.nlm.nih.gov/32613386/.
(2) Artificial intelligence in gastric cancer: a systematic review - Springer. https://link.springer.com/article/10.1007/s00432-020-03304-9.
(3) Artificial intelligence-based multi-omics analysis fuels cancer .... https://www.sciencedirect.com/science/article/pii/S1044579X22002632.
AI-based precision medicine has the potential to significantly enhance the effectiveness of treatment for gastric cancer. By analyzing large volumes of patient data, including genetic information, medical history, and clinical outcomes, AI algorithms can identify patterns and biomarkers that may be predictive of individual response to different treatments. This personalized approach enables physicians to tailor treatments based on each patient's unique characteristics, increasing the likelihood of selecting the most effective therapies while minimizing potential side effects. Furthermore, AI can facilitate real-time monitoring of patients, enabling early detection of treatment response and timely adjustments if necessary. While AI-based precision medicine for gastric cancer is still in its early stages, its ability to leverage data-driven insights and enhance treatment decisions holds great promise in improving patient outcomes and survival rates.
AI-based precision medicine has the potential to significantly enhance the effectiveness of treatment for gastric cancer. Here are some key areas where AI can contribute:
While AI-based precision medicine shows great promise, it is important to note that it should be used in conjunction with clinical expertise and rigorous validation. The integration of AI tools into clinical workflows should be done carefully to ensure patient safety, regulatory compliance, and ethical considerations. Continuous validation and refinement of AI models using real-world data are essential for ensuring their effectiveness and reliability in clinical practice.
La eficacia de la medicina de precisión basada en IA para el cáncer gástrico, será progresiva. En la medida que se vaya ingresando más datos de las diferentes esferas, su rol crecerá en eficacia. Posiblemente y como se ha sostenido en otros momentos transformar el Cáncer en una enfermedad crónica será uno de los primeros pasos esperables.
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