Global Healthcare AI Platform Ubie and the American Kidney Foundation (AKF) will collaborate to fine-tune Ubie’s AI-enabled symptom checker for kidney disease detection, aiming to reduce patients’ time to treatment.
Ubie’s AI is trained on clinical research papers, after which a panel of physicians analyzes the predicted pathways and symptoms associated with the disease.
Currently, AI can predict 1,100 diseases in ICD 11, the World Health Organization’s International Classification of Diseases.
“Our symptom checker also has unique clinical applications. We have deployments in 1,700 clinics and hospitals across Japan, and doctors’ use of the product helps train our AI, which is then used in our symptom checker for patients,” said Sanjeev Menon, head of partnerships at Ubie. MobiHealthNews.
Through this partnership, AKF will provide 25-30 patients with known causes of kidney disease to help Ubie refine its symptom checker specifically for diagnosing kidney disease.
“These patients have what we know as ‘traditional kidney disease’ – so diabetes and high blood pressure are the two main causes – or some rare kidney disease, but they know what causes it, and that’s important because with Ubie’s algorithm and the way it works, patients are going to ask questions,” said Mike Spigler, vice president of patient support and education at AKF. MobiHealthNews.
Menon said Ubie will run already diagnosed patients through a symptom checker to get aggregate data.
The company then analyzes each patient’s sessions and the answers they receive to determine which answers match the patient’s diagnosis. Ubie can then identify where its AI has flaws and improve the accuracy of its algorithms.
“You need to make sure the questions are accurate and that the questions are leading people to the right places, but the way the AI presents the questions and how people respond is also important,” Spigler said.
Menon said the user element in AI is often overlooked, and Ubie is looking to fix that.
“What we’re trying to do with Symptom Checker is capture and incorporate the patient voice to make sure we understand how users are using the platform – putting things in the terms that users would most likely use, rather than clinicians, which leads to better outcomes,” Menon said.
“In our case, better AI output means better patient guidance in care and better care decisions.”
The digital health company says that once patients understand their possible kidney disease through Ubie, it will direct them to the American Kidney Foundation for more information, accelerating their treatment journey.
“Especially for less common diseases, the path to diagnosis can be It will take years“If we can help people have a more informed conversation and quickly find the right doctor, we can reduce the time to a correct diagnosis,” Menon said.
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