Friday February 28, 2020

Researchers Develop AI Tool To Detect Mental Health Issues

Tracking changes in clinical states is important to detect if there is a change that shows whether the condition has improved or worsened that would warrant the need for changing treatment

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The USC Signal Analysis and Interpretation Lab (SAIL), which has long applied artificial intelligence (AI) and machine learning to identify and classify video, audio and physiological data, partnered with researchers to analyse voice data from patients being treated for serious mental illnesses. Pixabay

Researchers, including one of Indian-origin, have developed an artificial intelligence (AI) tool that can accurately detect changes in clinical states in voice data of patients with bipolar, schizophrenia and depressive disorders as accurately as attending doctors.

“Machine learning allowed us to illuminate the various clinically-meaningful dimensions of language use and vocal patterns of the patients over time and personalised at each individual level,” said Indian-origin researcher and study senior author Shri Narayanan from University of Southern California (USC) in the US.

The USC Signal Analysis and Interpretation Lab (SAIL), which has long applied artificial intelligence and machine learning to identify and classify video, audio and physiological data, partnered with researchers to analyse voice data from patients being treated for serious mental illnesses.

For the results, the researchers used the ‘MyCoachConnect’ interactive voice and mobile tool, created and hosted on the Chorus platform to provide voice diaries related to their mental health states.

SAIL team then collaborated with researchers to apply artificial intelligence to listen to hundreds of voicemails using custom software to detect changes in patients’ clinical states. According to the study, the AI was able to match clinicians’ ratings of their patients.

Tracking changes in clinical states is important to detect if there is a change that shows whether the condition has improved or worsened that would warrant the need for changing treatment, the researchers said.

AI
Researchers, including one of Indian-origin, have developed an artificial intelligence (AI) tool that can accurately detect changes in clinical states in voice data of patients with bipolar, schizophrenia and depressive disorders as accurately as attending doctors. Pixabay

This project builds on SAIL’s body of work in behavioural machine intelligence to analyse psychotherapy sessions to detect empathy of addiction counselors-in-training in order to improve their chances of better outcomes, in addition to the Lab’s work analysing language for cognitive diagnoses and legal processes.

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“Our approach builds on that fundamental technique to hear what people are saying about using the modern AI. We hope this will help us better understand how our patients are doing and transform mental health care to be more personalised and proactive to what an individual needs,” said study lead author Armen Arevian. (IANS)

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Microsoft Revises its Revenue Guidelines for Q1 Owing to Coronavirus Outbreak

Microsoft to miss sales forecast due to COVID-19 outbreak

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Microsoft
Microsoft has revised its revenue guidelines for its January-March quarter owing to Coronavirus (COVID-19) outbreak. Pixabay

After Apple, Microsoft has revised its revenue guidelines for its January-March quarter owing to Coronavirus (COVID-19) outbreak, saying the supply-chain has been slowed down which will impact its Windows and Surface businesses.

In a statement, the company said although it sees strong Windows demand in line with its expectations, “the supply chain is returning to normal operations at a slower pace than anticipated at the time of our Q2 earnings call”.

“As a result, for the third quarter of fiscal year 2020, we do not expect to meet our More Personal Computing segment guidance as Windows OEM and Surface are more negatively impacted than previously anticipated. All other components of our Q3 guidance remain unchanged, the company said late Wednesday.

Microsoft
In its second quarter (October-December period), Microsoft reported revenue of $36.9 billion and a profit of $11.6 billion. Surface revenue for the quarter was up 6 per cent (year over year) to $1.9 billion. Pixabay

On January 29, Microsoft issued quarterly revenue guidance for its ‘More Personal Computing’ segment between $10.75 and $11.15 billion, which included a wider than usual range to reflect uncertainty related to the public health situation in China.

“As the conditions evolve, Microsoft will act to ensure the health and safety of our employees, customers, and partners during this difficult period,” said the company, adding that it would continue to partner with local and global health authorities to provide additional assistance.

In its second quarter (October-December period), Microsoft reported revenue of $36.9 billion and a profit of $11.6 billion. Surface revenue for the quarter was up 6 per cent (year over year) to $1.9 billion.

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Apple last week warned that coronavirus outbreak will affect its business in the January-March quarter as worldwide iPhone supply will be temporarily constrained.

“Work is starting to resume around the country, but we are experiencing a slower return to normal conditions than we had anticipated. As a result, we do not expect to meet the revenue guidance we provided for the March quarter due to two main factors,” the company said in a statement. (IANS)