The exposition is organised by the Ministry of Education in coordination with the Ministry of External Affairs and is aligned with India\u2019s BRICS 2026 theme, \u201cBuilding for Resilience, Innovation, Cooperation and Sustainability.\u201d
\nThe BBI Exposition aims to connect Indian startups and innovators with BRICS investors, companies, research institutions and other global stakeholders, creating opportunities for technology partnerships, investment and international market access.\u00a0
\nIt is showcasing 37 Indian deep-tech startups and ventures from areas such as healthcare, clean energy, space technology and advanced manufacturing.\u00a0
\nAmong the innovations showcased is an AI-enabled cervical cancer screening technology, highlighting the use of Indian deep-tech solutions to improve cancer screening and early detection.<\/p>\n
Significance of AI in Cancer Screening<\/p>\n
AI is being used across different stages of cancer screening to support early detection, assess risk and improve the screening and referral process.<\/p>\n
Early Detection: AI can identify subtle abnormalities in medical images and screening data, helping detect possible cancer at an earlier stage.
\nRisk Assessment: AI can analyse clinical and health data to identify individuals who may have a higher risk of developing cancer and may require further screening.
\nScreening: AI can analyse medical images and other screening data to identify patterns that may indicate cancer and support large-scale screening programmes.
\nScreening and Triage: AI can identify suspicious cases and help healthcare workers prioritise patients who need further examination or referral.
\nMedical Image Analysis: AI can examine mammograms, thermal images and cervical images to detect abnormalities that may require further clinical assessment.
\nReferral and Follow-up: AI can support healthcare workers in deciding which patients require further investigation, referral or follow-up after initial screening.
\nClinical Decision Support: AI can assist doctors and healthcare professionals by analysing patient data and providing information that supports clinical decision-making.<\/p>\n
Indian examples: Periwinkle Technologies has developed an AI-enabled platform for cervical cancer screening and risk assessment, while Niramai uses radiation-free thermal imaging technology with AI to support early breast cancer detection.<\/p>\n
Significance of AI in Cancer Screening for India\u00a0<\/p>\n
AI-based cancer screening is particularly relevant for India because healthcare infrastructure and specialised medical expertise are unevenly distributed.<\/p>\n
In many areas, patients may have limited access to advanced diagnostic facilities and specialists. AI-enabled screening tools can potentially support district-level and primary healthcare facilities by assisting healthcare workers in identifying high-risk cases.<\/p>\n
This can help reduce delays between screening, referral and diagnosis, which is important for improving cancer outcomes.<\/p>\n
Challenges of AI in Cancer Screening<\/p>\n
Despite its potential, AI-based screening also faces several challenges.<\/p>\n
Accuracy: AI systems may not always correctly identify abnormalities, creating the possibility of false results.
\nData limitations: AI systems require large and reliable datasets for training and validation.
\nHuman oversight: AI recommendations still require appropriate clinical assessment by trained healthcare professionals.
\nInfrastructure: Effective deployment requires suitable medical equipment, digital connectivity and trained personnel.
\nAccessibility: Advanced technologies may remain concentrated in urban and well-equipped healthcare facilities if their deployment is not planned equitably.
\nClinical validation: AI tools need to be properly tested before being used widely in healthcare.
\nData protection: Medical and health-related information requires appropriate safeguards against misuse and unauthorised access.<\/p>\n
Way Forward<\/p>\n
India should focus on clinically validating AI tools, improving healthcare infrastructure and ensuring secure health-data systems before large-scale deployment. AI should complement, not replace, healthcare professionals, while greater investment in indigenous solutions, public healthcare integration and equitable access can help extend AI-based cancer screening to underserved areas.<\/p>\n
AI in Cancer Screening FAQs<\/p>\n
Q1. What is AI in cancer screening?+<\/p>\n
Q2. How does AI improve cancer screening?+<\/p>\n
Q3. Can AI replace doctors in cancer screening?+<\/p>\n
Q4. What are the major challenges of AI-based cancer screening?+<\/p>\n
Q5. What is the BRICS Bharat Innovates Exposition?+<\/p>\n
Tags: ai in cancer screening<\/a> <\/p>\n Previous Article Sagar Sharma is a Content Writer with over 2.5 years of experience in developing exam-oriented articles and educational content. A History graduate from the University of Delhi, he researches topics using newspapers, authentic government sources and other credible websites to produce accurate, well-structured and easy-to-understand content.<\/p>\n Related Posts<\/p>\n Courses<\/p>\n UPSC Sureshot Mains Test Series<\/p>\n \n\u20b927000\n<\/p>\n
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