The Power of AI in Cancer Treatment and Radiotherapy A new study from Moffitt Cancer Center shows that artificial intelligence (AI) can significantly improve how doctors treat cancer through Radiotherapy. This research has been done…
AI Revolutionizes Cancer Treatment: The Future of Medicine
The Power of AI in Cancer Treatment and Radiotherapy
A new study from Moffitt Cancer Center shows that artificial intelligence (AI) can significantly improve how doctors treat cancer through Radiotherapy. This research has been done in collaboration with the University of Michigan. It focuses on using AI to enhance radiotherapy for patients with non-small cell lung cancer and liver cancer. The study, published in Nature Communications, highlights both the advantages and challenges of integrating AI into medical practice and Radiotherapy.
How Does AI Help Doctors in Radiotherapy?
This research focused on a technique called knowledge-based response-adaptive radiotherapy (KBR-ART). This method enables AI to suggest Radiotherapy and treatment adjustments based on how well patients respond to their initial therapies. By analyzing data from medical images and test results, the AI system provides doctors with personalized recommendations about radiation doses in Radiotherapy.
Interestingly, the study found that when doctors consulted the AI tool, they made more consistent treatment decisions. This means there was less disagreement among doctors regarding care plans for their patients. However, some doctors still chose to rely on their experience instead of following every suggestion made by the AI.
Why Human Expertise Matters
Dr. Issam El Naqa, chair of the Machine Learning Department at Moffitt, emphasizes that while AI offers valuable insights, human intervention remains essential in cancer care and Radiotherapy. He stated, “Every patient is unique,” highlighting the importance of personalized care and Radiotherapy rather than a one-size-fits-all approach.
Moreover, as many doctors found comfort in using AI when they trusted its suggestions, it’s vital for medical professionals to establish strong communication with these tools, especially in Radiotherapy. The more confident they feel about the recommendations, the more likely they are to use them effectively.
The Future of Collaborative Medicine and Radiotherapy
The findings of this study open up exciting possibilities for future medical practices, especially in Radiotherapy. As researchers continue to investigate how AI can help doctors across various fields like Radiotherapy, we may see further advancements. This might be specially true in treatments that blend human expertise with advanced technology.
As students interested in STEM opportunities, you should consider exploring careers that involve these technologies! Engineering fields like Biomedical Engineering or roles as data scientists can pave your way into utilizing tech like AI to change lives.
References
Dipesh Niraula, Kyle C. Cuneo, Ivo D. Dinov, Brian D. Gonzalez, Jamalina B. Jamaluddin, Jionghua Judy Jin, et. all. Intricacies of human–AI interaction in dynamic decision-making for precision oncology. Nature Communications, 2025; 16 (1) DOI: 10.1038/s41467-024-55259-x
Additionally, to stay updated with the latest developments in STEM research, visit ENTECH Online. Basically, this is our digital magazine for science, technology, engineering, and mathematics. Furthermore, at ENTECH Online, you’ll find a wealth of information.
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As a dedicated Computer Science Lerner, Samruddhi thrives on innovation and leadership, having led teams to victory in 6 national hackathons. Skilled in AI-powered chatbots, scalable web architecture, REST and FAST APIs. Proficient in TensorFlow, Python, Django. She is passionate about developing AI-driven solutions that push the boundaries of technology. Samruddhi is a versatile software enthusiast with a passion for innovative solutions and a track record of impactful projects in web development, machine learning and data science.
