Researchers at Harvard Medical School have developed an AI called CHIEF that can diagnose cancer. An accuracy of almost 94 percent is said to enable timely treatment and improve the chances of survival.
Researchers at Harvard Medical School have a new one AI named CHIEF developed. It is said to be able to diagnose and treat various types of cancer with high accuracy and predict survival rates. The artificial intelligence is similar to ChatGPT and analyzes digital tissue sections of tumors.
Based on cell characteristics, the system detects molecular profiles and survival indicators. With its ability to handle multiple tasks at once, CHIEF could have a lasting impact on cancer diagnosis. AI can apparently not only detect cancer cells, but also make predictions about the treatment success and survival of patients. This versatility could make the system a valuable addition to medical diagnostics.
AI diagnoses cancer with 94 percent accuracy
The researchers trained the AI with over 15 million images. They then tested the system on 19 different types of cancer. It outperformed other leading systems in areas such as detecting cancer cells, predicting tumor origins and identifying genetic mutations by up to 36 percent. In many cases, these characteristics in turn influence the treatment.
The AI produced similar results regardless of the tissue collection method. In tests with over 19,400 images from 24 hospitals worldwide, it achieved an accuracy of almost 94 percent in diagnosing cancer. The hit rate was even higher when predicting genetic mutations that are crucial for treatment.
Innovation in tumor prognosis and treatment
CHIEF can apparently not only analyze the structure of tumor cells, but also the surrounding tissue. For example, the AI identified features in a tumor’s microenvironment that indicate a better or worse response to standard treatments such as chemotherapy, immunotherapy and radiation.
What appears particularly notable is that the AI discovered features that had not previously been associated with patient survival. The researchers plan to further improve CHIEF by training the model on rarer diseases and non-cancerous tissues.
They also want to feed the AI with more molecular data to better detect more aggressive cancers and expand treatment options. If the system is further optimized and used worldwide, it could significantly improve cancer detection and treatment and offer personalized therapy options.
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The post Harvard: Researchers develop AI that can diagnose cancer by Felix Baumann appeared first on BASIC thinking. Follow us too Facebook, Twitter and Instagram.
As a Tech Industry expert, I am impressed by Harvard researchers’ development of AI that can diagnose cancer. This breakthrough has the potential to revolutionize the field of healthcare and improve patient outcomes. The use of AI in medical diagnosis has been a growing trend, and this advancement showcases the power of machine learning in detecting and predicting diseases.
The ability of AI to analyze vast amounts of data and identify patterns that may be missed by human doctors is a game-changer in the fight against cancer. This technology has the potential to not only improve the accuracy of cancer diagnoses but also speed up the process, allowing patients to receive treatment sooner.
It is important to note that while AI has shown great promise in healthcare, it is not meant to replace human doctors. Instead, it should be used as a tool to assist healthcare professionals in making more informed decisions. Collaboration between AI and medical professionals can lead to better patient care and outcomes.
Overall, I believe that Harvard’s development of AI for cancer diagnosis is a significant achievement that highlights the potential of technology to transform the way we approach healthcare. I look forward to seeing how this technology continues to evolve and make a positive impact on the lives of patients.
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