Friday, December 27, 2024

IAS Dr. Adapa Karthik, Sp. Secy, Health & Family Welfare, Punjab

New Delhi: In order to enhance healthcare services, there is a need to leverage cutting-edge technologies such as AI, ML, and innovative solutions to address public health challenges. By incorporating these emerging technologies, healthcare systems can become more efficient and improve overall public health outcomes.

IAS Dr. Adapa Karthik, Special Secretary, Department of Health & Family Welfare and Special Secretary cum Director, Department of Governance Reforms & Public Grievances, Government of Punjab, spoke at the APAC 6th National HealthTech Innovation Conclave. He spoke on the topic ‘Enabling Public Healthcare With Emerging Technologies’.

“In first world countries, AI and ML applications are now built on multi-modal data. Essentially, machines do well in terms of their intelligence when they have all forms of data, and that is where AI and ML are going to go,” Karthik said.

What is multi-modal data?

Multi-modal data refers to data collected from various sources or modalities, such as text, images, audio, video, or sensor data, which offer different perspectives on the same subject. This data is diverse, complementary, and often complex to handle, but it provides a rich and comprehensive understanding of the subject by incorporating information from multiple sources.

Applications of multi-modal data analysis can be found in fields like computer vision, natural language processing, and healthcare, where it enhances the performance of machine learning models and analytical tools by leveraging the synergies among different data sources.

Karthik then talks about the Bengaluru deep-tech startup company called NIRAMAI Health Analytix, that aims to counter critical healthcare issues through automated solutions.

A little about Niramai’s Breast Thermography

Known as Thermalytix, Niramai’s Breast Thermography is a healthcare technology for the early detection of breast cancer. It employs a non-invasive approach using thermal imaging to detect temperature variations in breast tissue.

By analysing these temperature patterns with artificial intelligence, Niramai’s system can assess the risk of breast cancer and provide early warnings, potentially improving the chances of successful treatment. It is a comfortable and radiation-free screening option, often used as a supplementary tool alongside mammography, especially for women with dense breast tissue or those who cannot undergo mammography for various reasons.

“The Government of Punjab has been able to screen about 20,000 women using the thermography equipment augmented by AI. This is the first ever example in the entire world where you have a large-scale AI-enabled screening tool to basically detect abnormalities in breasts,” he said.

Read more – https://apacnewsnetwork.com/2023/10/transforming-public-healthcare-with-emerging-technologies-insights-from-ias-dr-adapa-karthik-sp-secy-health-family-welfare-punjab/

 

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