Sunday December 15, 2019

Artificial Intelligence: A Magic Pill That Can Solve Any Disease For Which There Is No Cure Yet

"Hope around AI is justified because the advances we have been making in areas like deep learning and reinforcement learning have been spectacular, outstripping even our optimistic projections," he added.

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"Hope around AI is justified because the advances we have been making in areas like deep learning and reinforcement learning have been spectacular, outstripping even our optimistic projections," he added. Pixabay

India has a unique opportunity to leap ahead with Artificial Intelligence (AI) in healthcare, as well as to bring the powers of cloud and AI to the broader world, a top Microsoft executive said on Wednesday.

According to Peter Lee, Corporate Vice President for Microsoft Healthcare, India has a well-laid infrastructure and advanced technology base, which “is an important crucible for innovation and healthcare”.

“There is an opportunity here in India, that’s unique in the world, to leap ahead by designing systems for the service of people to enable better reach for healthcare in rural parts of India and to bring the powers of cloud and AI to the broader world,” Lee said.

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Besides providing doctors and nurses with new user experiences, AI has a tremendous potential in precision medicine. It can also make healthcare more accessible and affordable for people in the remotest of areas, Lee said. VOA

He stated that new ideas, such as using predictive analytics to detect people at risk of cardiac disease early, or to predict onset of blindness due to uncorrected refractive error in kids, are taking root in India, and can be beneficial for even the most far off world communities.

AI has been increasingly seen as a magic pill that can solve any disease for which there is no cure yet.

Besides providing doctors and nurses with new user experiences, AI has a tremendous potential in precision medicine. It can also make healthcare more accessible and affordable for people in the remotest of areas, Lee said.

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According to Peter Lee, Corporate Vice President for Microsoft Healthcare, India has a well-laid infrastructure and advanced technology base, which “is an important crucible for innovation and healthcare”. Pixabay

“Hope around AI is justified because the advances we have been making in areas like deep learning and reinforcement learning have been spectacular, outstripping even our optimistic projections,” he added.

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While privacy of healthcare remains a big issue globally, Microsoft does not own the data but instead provides it as a foundation to create models that would be in the service of our customers, Lee said.

“At Microsoft, we take privacy so seriously that our attention to data compliance regulations is absolutely the best in the industry,” he added. (IANS)

Next Story

Machine Learning Can Help Doctors to Improve End-Of-Life Conversation with Patients

A deeper understanding of these conversations, which are often freighted with emotion and uncertainty, will also help reveal what aspects or behaviors associated with these conversations are more valuable for patients and families

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A Research used Machine Learning algorithms to analyze 354 transcripts of palliative care conversations collected by the Palliative Care Communication Research Initiative, involving 231 patients. Pixabay

Researchers at University of Vermont have used Machine Learning and natural language processing (NLP) to better understand conversations about death, which could eventually help doctors improve their end-of-life communication.

Some of the most important, and difficult, conversations in healthcare are the ones that happen amid serious and life-threatening illnesses.

Discussions of the treatment options and prognoses in these settings are a delicate balance for doctors and nurses who are dealing with people at their most vulnerable point and may not fully understand what the future holds.

“We want to understand this complex thing called a conversation. Our major goal is to scale up the measurement of conversations so we can re-engineer the healthcare system to communicate better,” said Robert Gramling, director of the Vermont Conversation Lab in the study published in the journal Patient Education and Counselling.

Gramling and his colleagues used machine learning algorithms to analyze 354 transcripts of palliative care conversations collected by the Palliative Care Communication Research Initiative, involving 231 patients.

They broke each conversation into 10 parts with an equal number of words in each, and examined how the frequency and distribution of words referring to time, illness terminology, sentiment and words indicating possibility and desirability changed between each decile.

“We picked up some strong signals,” said Gramling.

Conversations tended to progress from talking about the past to talking about the future, and from sadder to happier sentiments. “There was quite a range, they went from pretty sad to pretty happy,” Gramling added.

Machine Learning
Researchers at University of Vermont have used Machine Learning and natural language processing (NLP) to better understand conversations about death, which could eventually help doctors improve their end-of-life communication. Pixabay

The consistent results across multiple conversations show just how much people make meaning out of stories in healthcare.

“What we found supports the importance of narrative in medicine,” he said.

That knowledge could eventually help healthcare practitioners understand what makes a “good” conversation about palliative care, and how different kinds of conversations might require different responses.
That could help create interventions that are matched to what the conversation indicates the patient needs the most.

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A deeper understanding of these conversations, which are often freighted with emotion and uncertainty, will also help reveal what aspects or behaviors associated with these conversations are more valuable for patients and families. (IANS)