The Role of AI in Faster & Precise Cancer Diagnosis: Everything You Should Know!
From robotic surgeries to virtual consultations, technology has transformed modern healthcare. Among the most impactful innovations is Artificial Intelligence (AI), which is now reshaping how we detect and treat diseases — especially cancer.
Leading global healthcare institutes started investing in research to understand the role of AI in cancer diagnosis. By leveraging deep machine learning models, multiple medical institutes specializing in cancer care have come up with AI applications that not only promise accurate detection but also faster and precise cancer diagnosis in early stages. This blog aims to deepen your knowledge of AI cancer detection accuracy, new AI technologies and their benefits, and offer significant insights into the possibilities of cancer treatment and cure.
AI Cancer Detection Accuracy Vs Traditional Diagnosis
In terms of speed, AI can analyse large medical data within minutes, helping doctors reach a diagnosis faster. On the other hand, traditional procedures may take days or even weeks for a deep analysis and conclusion.
In terms of accuracy, traditional procedures also carry AI rules out such mistakes by leveraging advanced machine learning algorithms and can better identify subtle patterns invisible to the ‘human eye’.
What sets AI cancer diagnosis apart is its ability to continuously learn from datasets, improving its detection capabilities over time. By offering data-backed insights, suggesting areas of concern, comparing with historical cases, and flagging anomalies — AI offers a strong support for radiologists, pathologists and doctors to make more informed and precise decisions, faster.
Several cutting-edge AI-integrated systems are reshaping AI cancer diagnosis worldwide. Some of the most advanced include:
- Google has developed the AI-powered DeepMind system to detect Breast Cancer in early stages. Capable of comparing mammograms with higher accuracy than radiologists, this system reduces the scope of false positives and negatives and enhances accurate diagnoses at nascent stages.
- The PathAI system has been designed to analyze and identify microscopic cancerous findings that might be overlooked by the human eye.
- Freenome uses AI to detect early-stage cancer using blood tests. By analyzing circulating tumor DNA (ctDNA), it enables non-invasive and highly accurate cancer detection before symptoms appear.
Cutting Edge Technology at Yashoda Medicity for Cancer Treatment
- Varian Ethos promotes personalized adaptive radiotherapy in real-time. It offers the dynamic option to integrate AI-driven imaging and planning and adjust radiation doses as needed. This feature ensures precision while minimizing harm to healthy tissues.
- Varian Edge uses AI-powered imaging and motion-tracking systems to deliver highly targeted radiation doses to tumors.
- Elekta Unity MR Linac combines AI with advanced imaging techniques to continuously adapt to real-time changes in tumor positioning and patient movement, reducing collateral damage and improving outcomes.
AI Cancer Detection Accuracy: A Game-Changer in Oncology
The role of AI in cancer diagnosis is fueling hope in cancer patients worldwide. AI’s advantages of enhanced accurate diagnosis, reduced detection time, and personalized treatment strategies have helped the medical fraternity offer better patient outcomes. In India, cancer patients can now access the very best of AI-powered cancer diagnostic systems at Yashoda Medicity, Southeast Asia’s premier cancer care centre equipped with modern machines like Varian Ethos, Edge, and MR Linac.
To know more, visit: https://www.yashodahospital.org/yashoda-medicity