Artificial Intelligence (AI) is the science of machines that can think similar to humans. AI can answer questions and complete tasks because they require human intelligence.
The emergence of new AI technology, like Chat GPT, has allowed us to advance, and expand our knowledge by asking questions, checking answers, editing responses, and so much more. Some people even started using Chat GPT to edit their resumes to create a cohesive, specific CV for the applications.
In addition to AI's ability to access every database in the world to answer your questions, they can assist in new research tailored to find the cures for major diseases like cancer! Although the solution for cancer has not been found yet, researchers are using AI’s vast knowledge and abilities, like machine learning, to build tools that diagnose cancer in its early stages by potentially catching tumors or lesions that doctors could miss in scans.
For example, MIT and Mass Gen created an AI tool called Sybil to accurately predict the chances that a patient will develop lung cancer. Sybil was tested on low-dose tomography scans of patients ages 50 to 80 who have a significant history of smoking. For the patients who were undergoing screenings for lung cancer, Sybil was able to accurately predict their chances of developing lung cancer within six years. Although lung cancer has been thought to be linked to excessive smoking, the connection between lung cancer and nonsmokers has been increasing, proving healthy, active people may also fall victim to lung cancer. Due to the growing misconception that lung cancer only preys on smokers is growing, many lung cancer cases go undiagnosed or are found too late to be treatable. Hence, Sybil's purpose is to screen patients for lung cancer to find the higher-risk patients and to find cancer in its early stages since it is curable with a higher risk of being successfully treated by surgery.
Harvard University, the University of Copenhagen, and the Dana-Farber Cancer Institute developed an AI tool that uses a patient's medical records to identify if they are at high risk of pancreatic cancer up to 3 years before an actual diagnosis. Researchers at these institutions, like Dr. Chris Sander, are developing, training, and improving their tools to identify such risks early for their cancer to be treatable. Similar to lung cancer, pancreatic cancer is very difficult to treat and has low chances of survival if diagnosed in its later stages.
Straying away from building cancer-detecting machines, Penn Medicine created an AI chat box to communicate with patients to guide them through their cancer treatment. Penny, the AI chatbot, also helps reduce the risk of mistakes in their course(s) of action.
The new development of AI has extended beyond answering questions, reaching infinite databases to create tools that can assist in the welfare and healthcare of others. Numerous AI tools can detect cancer in patients early, allowing high-risk patients to be treated and cured!
Alex Ouyang | Abdul Latif Jameel Clinic for Machine Learning in Health. “MIT Researchers Develop an AI Model That Can Detect Future Lung Cancer Risk.” MIT News | Massachusetts Institute of Technology, www.news.mit.edu/2023/ai-model-can-detect-future-lung-cancer-0120.Accessed 17 Aug. 2023.
Kekatos, Mary. “How Artificial Intelligence Is Being Used to Detect, TreatCancer -- and the Potential Risks for Patients.” ABC News, ABC News Network,www.abcnews.go.com/Health/ai-detect-treat-cancer-potential-risks-patients/story?id=101431628. Accessed 17 Aug. 2023.