Published 06 May 2024

Value Additions of AI solutions in TB affected population

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Summary
Qure.ai’s Dr. Justy Anthony Chiramal interviews Dr. Ramya Ananthakrishnan, Director of the TB Reach Programme, discussing the challenges and advancements in community-based tuberculosis (TB) prevention and care. The conversation explores the use of technology, particularly AI, in improving TB screening and diagnosis in community settings, emphasizing the importance of community engagement and the integration of AI tools to enhance accessibility and efficiency in TB care. 
Introduction  
Dr. Justy introduces Dr. Ramya, a community medicine specialist, who has been instrumental in strengthening community systems and improving public-private partnerships in TB programs. Dr. Ramya provides an overview of the TB Reach Programme, highlighting its focus on private sector engagement and partnering with affected communities. 
Key Points of Discussion
  • Community System Strengthening Challenges: Dr. Ramya identifies community buy-in as a significant challenge, stressing the importance of convincing communities of the benefits of TB programs for their health and well-being. 
  • Role of Technology in TB Care: The discussion highlights the pivotal role of AI in facilitating TB screening, especially in settings lacking sufficient healthcare professionals to interpret diagnostic tests like chest X-rays. Dr. Ramya emphasizes the potential of AI to provide immediate results, thus improving the linkage to treatment. 
  • Impact and Reach of Community Engagement: Dr. Ramya shares how community engagement in TB care has evolved, from limited involvement to meaningful participation, with thousands of trained TB champions across India advocating for TB care and prevention. 
  • Challenges in Symptomless TB Screening: The conversation also covers the complexities of encouraging asymptomatic individuals to participate in TB screening, a task made easier with the aid of AI technologies that provide quick and reliable diagnostics. 
Conclusion  
The discussion concludes with Dr. Ramya expressing optimism about the future integration of AI in TB diagnostics and care, noting its benefits not only in TB but also in detecting other diseases like heart failure and lung cancer. Dr. Justy praises Dr. Ramya's contributions to TB care and looks forward to continued collaboration in utilizing AI to advance TB prevention and treatment efforts. 

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