-Soham Manna
The Chairman of Tech Mahindra Limited, Mahindra & Mahindra Limited, and Mahindra Group, Mr. Anand Gopal Mahindra, under his leadership, the group has entered several significant industrial sectors, including aerospace, IT, and agriculture, in addition to expanding both domestically and globally. He comes under light as he recently shared his viewpoint on artificial intelligence on platform X ( Twitter).
Mahindra’s viewpoint
Anand Mahindra sheds light on a new model created by Duke University that can forecast breast cancer five years in advance to demonstrate the landscape and benefits of AI.
“If this is accurate, then AI is going to be of significantly more value to us than we imagined and much earlier than we had imagined…” – Anand Mahindra Via X.
Mahindra highlighted the value of artificial intelligence and forecasted its potential shortly as he remarked that it delivers more value than imagined.
AI in Oncology: How Artificial Intelligence Is Changing The Game
Numerous research demonstrates AI’s potential for early cancer detection. The creation of novel medications that can forecast the prognosis and course of treatment is also being made possible by advanced chemotherapy.
A new, interpretable artificial intelligence model has been developed by a team of researchers at Duke University in the United States to predict the 5-year risk of breast cancer using mammograms.
An early diagnosis of cancer increases the prognosis for both survival and effective treatment. Artificial Intelligence systems are made to quickly and accurately analyze large amounts of medical data, which is essential for early cancer detection. Medical imaging data, including MRIs, CT scans, and mammograms, can be sorted through machine-learning algorithms that might point to cancer.
Large databases of patient records and medical imaging are used to train AI algorithms so they can identify intricate patterns linked to various cancer kinds. AI-driven algorithms, for instance, have proven to be highly accurate at identifying skin cancer in dermatological imaging, lung cancer in chest CT scans, and breast cancer in mammograms.
A radiation oncologist, Vineet Nakra, a radiation oncologist at Max Super Speciality Hospital shares his opinion on AI to IANS. He said that AI is helping pathologists diagnose cancer much faster and paving the way for doctors to make personalised and patient-centric cancer care.
This technology has the potential to be a vital tool for radiologists and may even save lives, even though there are still obstacles to overcome. In a study published in Science Translational Medicine, Risk assessment can be thought of computationally as a prediction job in which a model is trained to link mammography with the future.
Reactions From The Community
The X Users show some significant responses to Mahindra’s viewpoint. One user commented,” That’s the best use of technology anyway. Assisting humankind to become better and reduce risk.” Another highlighted,” AI, Machine Learning, Big data analysis based systems will drastically improve the living standards of life of every strata of society.”
The use of AI technology in breast cancer screening has reduced radiologists’ workloads about 30% while increasing cancer detection rates by 13%, according to the New York Times.
The report also shows that AI successfully detects some of the most challenging cancer cases, where early signs of breast cancer have gone unnoticed by radiologists.
Anand Mahindra clarified the revolutionary potential of AI and the related limitations in his remarks. His observations demonstrate the important role artificial intelligence can play, especially in areas like cancer diagnosis. User’s reactions to X reflect the public’s interest in AI and the need for continued discussion about it.
Mahindra’s comments from the community highlight how crucial it is to handle AI developments carefully in order to guarantee that they enhance society while minimising hazards.
-An article by Soham Manna
