New AI tool increases accuracy of schizophrenia diagnosis

| | Toronto
  • 0

New AI tool increases accuracy of schizophrenia diagnosis

Friday, 01 February 2019 | PTI | Toronto

New AI tool increases accuracy of schizophrenia diagnosis

A novel artificial intelligence (AI) enabled tool can help diagnose schizophrenia more accurately than other such systems, according to a study led by an Indian origin scientist.

The tool called EMPaSchiz, developed by researchers at the University of Alberta in Canada, examined brain scans from patients who were diagnosed with schizophrenia and predicted the diagnosis with 87 per cent accuracy.

The finding, published in the journal 'NPJ Schizophrenia', follows on a previous study in 2017 in which researchers at IBM and  Alberta developed a tool capable of predicting schizophrenia with 74 per cent accuracy.

"Schizophrenia is characterised by a constellation of symptoms that might co-occur in patients. Two individuals with the same diagnosis might still present different symptoms. This often leads to misdiagnosis," said Sunil Kalmady, a post-doctoral fellow at the University of Alberta.

"Machine learning, in this case, is able to drive an evidence-based approach that looks at thousands of features in a brain scan to lead to an optimal prediction," said Kalmady, who led the study.

There are ways to estimate how accurate this tool will be and how often it will provide the correct diagnosis, said computing scientist Russ Greiner, who supervised Kalmady's research.

The researchers noted EMPaSchiz is one of the first machine learning tools trained exclusively on data from patients who were diagnosed but not yet taking any medication to treat their illness, which could make it more valuable in the early stages of diagnosis.

"Mental health disorders are highly complex in terms of causes and manifestation of symptoms," said professor Andrew Greenshaw.

"Machine learning and future AI are approaches that enable a multi-dimensional, data-driven inroad that captures the level of complexity and objectivity that we need to unravel the wicked problems of understanding mental illness," Greenshaw said.

 

State Editions

7-yr RI for raping minor in B’swar

28 January 2023 | PNS | Bhubaneswar

2 die as SUV overturns in Boudh

28 January 2023 | PNS | Bhubaneswar

'Use Budget provisions fully, avoid parking of funds'

28 January 2023 | PNS | Bhubaneswar

Month on, action not taken against Tarbha officials yet

28 January 2023 | SRIKUMAR MAHANTA | Bhubaneswar

PPA all set to handle 130 MT

28 January 2023 | PNS | Bhubaneswar

'Drop Keuta, Kaibarta, Dhibara from SC category'

28 January 2023 | AJIT PANDA | Bhubaneswar

Sunday Edition

Astrology helps reinvent oneself

22 January 2023 | Bharat Bhushan Padmadeo | Agenda

Winter Care: Tips to Stay Healthy

22 January 2023 | Dr. RP Parasher | Agenda

BUDGET FOR YOUR HEALTH

22 January 2023 | HEALTH PIONEER | Agenda

Finally, Justice for CAPF

22 January 2023 | Rakesh K Singh | Agenda

Himalayan environment at tipping point

22 January 2023 | Prashant Barthwal | Agenda

Agri entrepreneurship can be game changer

22 January 2023 | Dinesh Tyagi | Agenda