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INTERNATIONAL CONGRESS OF

CancerGenetics

• AI-Powered Healthcare: Transforming Cancer Treatment Through Advanced Technologies

• Helia Sepahvand,¹ Narges Safari,² Sarina Roshani,³ Diana Sedaghatnia,⁴ Majedeh Mortazavi,^5,* Hesmeddin Akbarein,⁶
  1. DVM Student, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran.
  2. DVM Student, Facultyof Veterinary Medicine, Garmsar Branch, Islamic Azad University, Garmsar, Iran.
  3. DVM Student, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran.
  4. DVM Student, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran.
  5. DVM Student, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran.
  6. Division of Epidemiology & Zoonoses, Department of Food Hygiene & Quality Control, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran
  
  
  
• Introduction: Artificial Intelligence (AI) is changing the healthcare services by making early detection better, diagnostic processes more efficient, medicines more personalized, and treatment plans more streamlined. Some examples of AI in healthcare are Machine Learning (ML), Convolutional Neural Networks (CNNs), Artificial Neural Networks (ANNs), Natural Language Processing (NLP), and Predictive Analytics (PA). This article reviews how AI is being used to treat cancer. More specifically, it looks at how robots, ML algorithms, and NLP are changing the way cancer is treated. It's being used to change how cancer is found, how treatments are planned, how new drugs are discovered, and how patients are watched. It's also used to deal with the issues and problems that come up with these tools. It is very important to find cancer early and correctly so that patients can get the right medicine at the right time and have better outcomes. This big change in healthcare shows how AI can make things better and how important it is for oncology to use these new tools to help cancer patients get better care.
• Methods: We used the most recent articles from Google Scholar, Pubmed and SID in this review article. The main part of our work was a detailed discussion of the best ways to look over and correctly evaluate old studies. We looked at how specific terms like "Artificial Intelligence," "Transforming Cancer Treatment," and "Advanced Technologies" were used to make sure the topic was covered in depth.
• Results: The way cancer is treated is changing because of ML and AI. These technologies are helping to diagnose, predict, and plan the treatment. AI's good ability to look at medical data has helped find cancer earlier, make more accurate guesses about how it will grow, and make more personalized treatment plans. They canalso figure out how the immune system will respond, find proteins in cancer, and improve the effectiveness of immunotherapy. Models built on AI have been made to guess how long people with different kinds of cancer will live. AI has issues, like the need for good data and stress over privacy. It can only be used in medical picture systems, so it can't be used in ML. That being said, AI is still getting better at making predictions and is being used in healthcare systems as more research is done. Some of the most important ways that AI is helping to improve and speed up testing methods are in finding cancer earlier. CNNs are very good at finding tumors and other strange growths, especially when they look at medical pictures and find trends. AI also makes it easier to automatically group tumors, which is useful for planning surgeries and radiation therapy. Genomic data can be looked at by AI programs, especially those that use ANNs and ML models to find mutations and signals that are linked to cancer. This helps doctors figure out how to treat people. It is also being added AI to systems that watch over patients. This will help cancer patients be better cared for. AI has a lot of potential, but it also has some problems and ethical issues that need to be fixed. Some of these are the quality and availability of the data needed to teach AI models, worries about privacy and security, and the need to be clear about how AI makes decisions.
• Conclusion: AI has the ability to make clinical trials, drug research, and the process of developing new treatments much better. This game-changing technology also suggests ways to make pathology and histopathology tests better so that cancer can be diagnosed more accurately and reliably. AI-powered technologies are changing the way cancer is treated by making it easier to find the disease earlier, making treatment more personalized, and eventually improving patient outcomes. It is important to note, though, that putting AI to good use in cancer care will depend on solving important problems like getting data, protecting privacy, and thinking about what is right and wrong. Accepting that AI can provide personalized care is a key step toward the future of cancer treatment, as it holds the promise of better, more patient-centered healthcare solutions.
• Keywords: Artificial Intelligence, Transforming Cancer Treatment, and Advanced Technologies