{"id":124215,"date":"2026-09-12T16:48:04","date_gmt":"2026-09-12T11:18:04","guid":{"rendered":"https:\/\/vajiramandravi.com\/current-affairs\/?p=124215"},"modified":"2026-09-12T16:48:04","modified_gmt":"2026-09-12T11:18:04","slug":"ai-in-cancer-screening","status":"publish","type":"post","link":"https:\/\/vajiramandravi.com\/current-affairs\/ai-in-cancer-screening\/","title":{"rendered":"AI in Cancer Screening, Significance, Challenges"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">AI-enabled cervical cancer screening is among 37 Indian deep-tech innovations showcased at the BRICS Bharat Innovates Exposition during the 18th BRICS Summit in New Delhi. The exposition highlights Indian innovations in healthcare, space technology, clean energy and other sectors.<\/span><\/p>\n<h2><b>What is AI in Cancer Screening?<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">AI in cancer screening refers to the use of machine learning and deep learning algorithms to analyse medical images or clinical data and identify patterns that may indicate cancer. AI can support screening by:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Detecting abnormalities:<\/b><span style=\"font-weight: 400;\"> Identifying suspicious lesions, nodules or masses in medical images.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Screening and triage: <\/b><span style=\"font-weight: 400;\">Assessing patients and prioritising those who may require further medical examination.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Reducing workload: <\/b><span style=\"font-weight: 400;\">Helping doctors process large volumes of medical images more quickly.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Supporting early detection:<\/b><span style=\"font-weight: 400;\"> Identifying possible signs of cancer before the disease progresses.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Improving access:<\/b><span style=\"font-weight: 400;\"> Supporting screening in areas where specialised medical professionals and advanced diagnostic facilities are limited.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">AI is generally used as a decision-support or triage tool, rather than as a replacement for doctors.<\/span><\/p>\n<h2><b>AI in Cancer Screening at BRICS Bharat Innovates Exposition<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">The <\/span><b>BRICS Bharat Innovates (BBI) Exposition<\/b><span style=\"font-weight: 400;\"> is being held at Bharat Mandapam, New Delhi, on September 11-12, 2026, alongside the <a href=\"https:\/\/vajiramandravi.com\/current-affairs\/18th-brics-summit-2026\/\" target=\"_blank\"><strong>18th BRICS Summit<\/strong><\/a>.\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The exposition is organised by the <\/span><b>Ministry of Education<\/b><span style=\"font-weight: 400;\"> in coordination with the Ministry of External Affairs and is aligned with India\u2019s BRICS 2026 theme, <\/span><b>\u201cBuilding for Resilience, Innovation, Cooperation and Sustainability.\u201d<\/b><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The BBI Exposition <\/span><b>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<\/b><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">It is showcasing <\/span><b>37 Indian deep-tech startups and ventures<\/b><span style=\"font-weight: 400;\"> from areas such as healthcare, clean energy, space technology and advanced manufacturing.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Among 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.<\/span><\/li>\n<\/ul>\n<h2><b>Significance of AI in Cancer Screening<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">AI is being used across different stages of cancer screening to support early detection, assess risk and improve the screening and referral process.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Early Detection:<\/b><span style=\"font-weight: 400;\"> AI can identify subtle abnormalities in medical images and screening data, helping detect possible cancer at an earlier stage.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Risk Assessment:<\/b><span style=\"font-weight: 400;\"> AI can analyse clinical and health data to identify individuals who may have a higher risk of developing cancer and may require further screening.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Screening:<\/b><span style=\"font-weight: 400;\"> AI can analyse medical images and other screening data to identify patterns that may indicate cancer and support large-scale screening programmes.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Screening and Triage: <\/b><span style=\"font-weight: 400;\">AI can identify suspicious cases and help healthcare workers prioritise patients who need further examination or referral.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Medical Image Analysis:<\/b><span style=\"font-weight: 400;\"> AI can examine mammograms, thermal images and cervical images to detect abnormalities that may require further clinical assessment.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Referral and Follow-up: <\/b><span style=\"font-weight: 400;\">AI can support healthcare workers in deciding which patients require further investigation, referral or follow-up after initial screening.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Clinical Decision Support: <\/b><span style=\"font-weight: 400;\">AI can assist doctors and healthcare professionals by analysing patient data and providing information that supports clinical decision-making.<\/span><\/li>\n<\/ul>\n<p><b>Indian examples:<\/b><span style=\"font-weight: 400;\"> 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.<\/span><\/p>\n<h2><b>Significance of AI in Cancer Screening for India\u00a0<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">AI-based cancer screening is particularly relevant for India because healthcare infrastructure and specialised medical expertise are unevenly distributed.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">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.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This can help reduce delays between screening, referral and diagnosis, which is important for improving cancer outcomes.<\/span><\/p>\n<h2><b>Challenges of AI in Cancer Screening<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Despite its potential, AI-based screening also faces several challenges.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Accuracy:<\/b><span style=\"font-weight: 400;\"> AI systems may not always correctly identify abnormalities, creating the possibility of false results.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Data limitations: <\/b><span style=\"font-weight: 400;\">AI systems require large and reliable datasets for training and validation.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Human oversight: <\/b><span style=\"font-weight: 400;\">AI recommendations still require appropriate clinical assessment by trained healthcare professionals.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Infrastructure: <\/b><span style=\"font-weight: 400;\">Effective deployment requires suitable medical equipment, digital connectivity and trained personnel.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Accessibility:<\/b><span style=\"font-weight: 400;\"> Advanced technologies may remain concentrated in urban and well-equipped healthcare facilities if their deployment is not planned equitably.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Clinical validation:<\/b><span style=\"font-weight: 400;\"> AI tools need to be properly tested before being used widely in healthcare.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Data protection: <\/b><span style=\"font-weight: 400;\">Medical and health-related information requires appropriate safeguards against misuse and unauthorised access.<\/span><\/li>\n<\/ul>\n<h2><b>Way Forward<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">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.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI in Cancer Screening uses advanced algorithms to support early detection, analyse medical images and improve screening, triage and access to cancer care.<\/p>\n","protected":false},"author":30,"featured_media":124134,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[786],"tags":[10211],"class_list":["post-124215","post","type-post","status-publish","format-standard","has-post-thumbnail","category-general-studies","tag-ai-in-cancer-screening","no-featured-image-padding"],"acf":[],"_links":{"self":[{"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/posts\/124215","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/users\/30"}],"replies":[{"embeddable":true,"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/comments?post=124215"}],"version-history":[{"count":4,"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/posts\/124215\/revisions"}],"predecessor-version":[{"id":124245,"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/posts\/124215\/revisions\/124245"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/media\/124134"}],"wp:attachment":[{"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/media?parent=124215"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/categories?post=124215"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/vajiramandravi.com\/current-affairs\/wp-json\/wp\/v2\/tags?post=124215"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}