New Delhi, March 21 (IANS) The Health Ministry on Friday said it is leveraging artificial intelligence (AI) to drive transformative change in public health services across the country.
The ministry has designated AIIMS Delhi, PGIMER Chandigarh and AIIMS Rishikesh as ‘Centre of Excellence for Artificial Intelligence’ with an aim to promote development and use of AI-based solutions in health.
The ministry has developed AI solution like Clinical Decision Support System (CDSS) in e-Sanjeevani, Media Disease Surveillance Solution in IDSP, Diabetic Retinopathy Identification solution and the Abnormal Chest X-ray Classifier Model and various others are in early stages, said Union Minister of State for Health and Family Welfare, Prataprao Jadhav, in a written reply in the Lok Sabha.
‘Media Disease Surveillance’ (MDS) is an AI-driven tool that has been supporting event-based surveillance for infectious diseases since April 2022.
This tool scans digital news sources across the country and shares relevant information with districts for early action and response.
Since April 2022, it has published over 4,500 event alerts, contributing to the timely prevention and mitigation of disease outbreaks, thereby reducing mortality and morbidity.
The ‘Clinical Decision Support System’ (CDSS), an AI solution has been integrated into the national telemedicine platform, eSanjeevani, to enhance consultation quality by streamlining patient complaints entry and providing AI-based differential diagnosis recommendations.
Since CDSS integration, 196 million eSanjeevani consultations benefitted from standardized data capture, ensuring consistency across health and wellness centres and 12 million consultations have been aided by AI-recommended diagnoses, allowing doctors to make informed decisions.
Under the Tuberculosis elimination programme, ‘Cough against TB’ AI solution is used for screening for pulmonary TB in the community settings.
In the deployed geographies, the solution has shown an additional yield of 12-16 per cent in TB reported, which may have been missed if patients were screened using conventional methods.
The ‘Prediction of Adverse TB Outcomes AI Solution’ helps in predicting TB patients who have a high chance for going for adverse outcomes as soon as the patient is initiated on treatment. 27 per cent decline in adverse outcomes is reported after deployment of the AI Solution, said the ministry.
–IANS
na/
Disclaimer
The information contained in this website is for general information purposes only. The information is provided by TodayIndia.news and while we endeavour to keep the information up to date and correct, we make no representations or warranties of any kind, express or implied, about the completeness, accuracy, reliability, suitability or availability with respect to the website or the information, products, services, or related graphics contained on the website for any purpose. Any reliance you place on such information is therefore strictly at your own risk.
In no event will we be liable for any loss or damage including without limitation, indirect or consequential loss or damage, or any loss or damage whatsoever arising from loss of data or profits arising out of, or in connection with, the use of this website.
Through this website you are able to link to other websites which are not under the control of TodayIndia.news We have no control over the nature, content and availability of those sites. The inclusion of any links does not necessarily imply a recommendation or endorse the views expressed within them.
Every effort is made to keep the website up and running smoothly. However, TodayIndia.news takes no responsibility for, and will not be liable for, the website being temporarily unavailable due to technical issues beyond our control.
For any legal details or query please visit original source link given with news or click on Go to Source.
Our translation service aims to offer the most accurate translation possible and we rarely experience any issues with news post. However, as the translation is carried out by third part tool there is a possibility for error to cause the occasional inaccuracy. We therefore require you to accept this disclaimer before confirming any translation news with us.
If you are not willing to accept this disclaimer then we recommend reading news post in its original language.