now, KureCity-based startup .ai, which has deployed AI software in nine BMC hospitals and vans, wants to update its program to detect lung cancer as well.
“Of the 1,050 people diagnosed with TB by AI in 2022, 35% were asymptomatic,” said Dr. Mangala Gomare, BMC Senior Health Officer. was helpful,” he said.
“Our AI-enabled chest x-ray solution for tuberculosis screening is also used to screen for other abnormalities, such as lung nodules, which can be signs of cancer,” said Qure.ai founder Prashant Warie. We can,” he said, adding: “We will explore partnerships.” Working with BMC to target lung cancer by expanding programs in regions with AI-based TB testing. ”
City startup Qure.ai is helping BMC with AI-powered software for early detection of tuberculosis cases, and is considering partnering with the city to target lung cancer as well. Dr. Mangala Gomaré, senior health officer at BMC, said it would be useful if the algorithms used for tuberculosis could also be used to detect lung cancer.
Chatbots such as ChatGPT, Bing and Bard dominate the AI conversation, but senior endocrinologist Dr. Anoop Misra believes AI is leading a “revolution” in healthcare. Whether it’s spotting trends, analyzing results, or assisting with research writing, AI is quickly becoming a part of healthcare.
As editor of the indexed medical journal Diabetes and Metabolic Syndrome: Clinical Studies and Reviews, Delhi-based Misra has already led and edited reviews on AI-based tools in medicine. “There’s huge potential for AI in all areas of medicine, including radiology, ophthalmology, and multiple clinical areas,” he said, adding that doctors who can’t understand AI “will be left behind.”
Multiple studies are underway around the world to see if and how AI and big data can further help healthcare. At Zaidas Hospital in Ahmedabad and Aster MIMS in Calicut, Warier’s AI-based stroke management program is leading to faster diagnosis of stroke. “Our app is helping clinicians and Medtronic India is helping hospitals with training and solutions,” he said.
More than a week ago, a research paper published in Nature Medicine highlighted that an AI-based program could detect the most difficult-to-find pancreatic cancer at least three years in advance. . A collaborative study by Harvard University and the University of Copenhagen used patient medical records for prediction.
But not everyone was impressed yet. According to Dr. Shailesh Shrikande, Deputy Director and Pancreatic Cancer Surgeon at Tata Memorial Hospital, “Currently, AI relies on big data in various algorithms. If the data is of good quality, it will lead to better inferences and information. can do it,” he said. However, accessing high-quality data is not trivial, especially when algorithms require tens of thousands of data points.
“With AI tools based on high-quality data, it will definitely serve as a free guide for doctors,” Dr. Shrikande said. However, there are currently no publicly available pancreatic cancer AI-based algorithms. In the conclusion of the article in Nature Medicine, the researchers said the results will help “design realistic surveillance programs for patients at high risk” of pancreatic cancer. “It cannot be used as a general screening tool yet,” he said.
Warrior also said most of the concerns about AI in healthcare stem from the need for “fair” and “safe handling of patient data.” “AI is not a replacement for healthcare providers, but rather an effective tool to enhance their efforts,” he added.
Dr. Misra agreed, saying, “At this point, doctors need to interpret AI data based on their own judgment and experience. It’s not 100% yet.”
