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Research, imaging technology, policy and regulation, conferences and Raydiac updates, written for the people who run and read imaging in India.
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Dedicated AI research centres across 22 AIIMS campuses are deploying machine learning for radiology, pathology, and drug discovery, producing India-built models validated on Indian patient populations.
The ARRS 2026 Annual Meeting in Pittsburgh brought AI workflows, emergency radiology updates, and women's imaging advances that directly impact Indian practice. Here are the sessions that matter most.
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Large-scale studies confirm that integrating AI into routine mammography screening increases cancer detection rates without raising false-positive recall rates, a finding that could reshape breast imaging in India.
mammography · breast cancer · AI screening · cancer detection
A new AI system called Prima outperforms existing models across 50+ neurological diagnoses on brain MRI, triaging critical cases in seconds and potentially transforming emergency neuroradiology workflows.
AI · brain MRI · neuroradiology · emergency imaging
Dr. Pankaj Gupta from PGIMER Chandigarh developed a deep learning pipeline that predicts HER2 status in unresectable gallbladder cancer from routine CT scans, potentially replacing invasive biopsies.
gallbladder cancer · radiogenomics · deep learning · HER2
A Radiology study found that AI-generated deepfake X-rays deceived radiologists 59% of the time when they were not warned. Even when alerted, accuracy only reached 75%. The implications for diagnostic trust are massive.
AI · deepfake · cybersecurity · X-ray
A landmark multi-center study presented at RSNA demonstrates that AI-assisted CT screening for lung nodules achieves 97% sensitivity while reducing radiologist reading time by 34%.
AI · lung screening · RSNA · CT
The National Medical Commission has issued new guidelines requiring all NABL-accredited diagnostic centers to adopt structured reporting templates for cross-sectional imaging by January 2027.
NMC · structured reporting · NABL · policy
New data from the Ministry of Health reveals a critical gap: tier-2 cities have 1 radiologist per 180,000 population compared to 1 per 28,000 in metros. Teleradiology is part of the answer.
workforce · tier-2 cities · teleradiology · India
BI-RADS 3 means probably benign, but 'probably' leaves room for uncertainty. A practical guide for radiologists on when short-interval follow-up is appropriate and when the clinical picture demands biopsy.
BI-RADS · breast imaging · mammography · biopsy
AI tools can now extract bone density, body composition, cardiovascular risk, and liver fat measurements from routine CT scans ordered for other reasons. Opportunistic screening is redefining what a single scan can reveal.
opportunistic screening · AI · CT imaging · coronary calcium
With 74 crore ABHA health IDs issued and ABDM entering its second phase, Indian imaging centers face a clear choice: integrate now or scramble later. Here is what the transition demands.
ABDM · digital health · imaging centers · India
HeartLung Corp receives FDA clearance for AI-CVD, an AI platform that extracts cardiovascular measurements from existing CT scans without additional imaging, radiation, or contrast. Applicable to nearly 40 million US scans annually.
FDA · AI · cardiovascular · CT screening
Modern teleradiology platforms have evolved from simple remote reading tools into complete cloud ecosystems combining PACS, AI, and structured workflows. Here is what that shift means for Indian radiologists.
teleradiology · PACS · cloud radiology · ABDM
Kasturba Medical College Manipal reports that AI-integrated CT workflows have enabled clinicians to serve 20 to 30 additional patients per day while maintaining diagnostic accuracy, offering a real-world model for Indian hospitals.
AI workflow · CT imaging · KMC Manipal · India
Researchers from USC and Caltech have demonstrated a noninvasive 3D imaging technique combining ultrasound and photoacoustic imaging that captures both tissue structure and blood vessels without radiation or contrast agents.
photoacoustic imaging · ultrasound · hybrid imaging · 3D imaging
University at Buffalo researchers have built the first AI system designed to distinguish between radiology reports written by humans and those generated by AI, using a dataset of 14,000 report pairs.
AI · radiology reports · LLM · quality assurance
Researchers used deep learning on routine cranial ultrasound images to predict neurodevelopmental impairment in very preterm infants, potentially enabling intervention years earlier than current methods.
deep learning · cranial ultrasound · neonatal imaging · preterm infants
A new study shows that switching from multiparametric to biparametric prostate MRI with a contrast recall system spared 93% of patients IV contrast with no change in PI-RADS distribution.
prostate MRI · biparametric MRI · PI-RADS · gadolinium
A new Radiology study confirms CT colonography detects advanced adenomas at 91% vs 79% for FIT, catches cancers earlier, and performs comparably to colonoscopy for polyps over 6mm.
CT colonography · colorectal cancer · screening · FIT
Photon-counting detector CT technology is moving from research to clinical practice, promising unprecedented soft tissue contrast and dose reduction for cardiac imaging.
photon-counting CT · cardiac imaging · technology · CT
The Indian Radiological and Imaging Association held its 79th annual conference in Hyderabad. Here are the clinical pearls and practice-changing updates you need to know.
IRIA · conference · radiology practice · India
The latest LI-RADS update introduces changes to ancillary features, threshold growth criteria, and treatment response assessment. A practical breakdown for daily practice.
LI-RADS · liver imaging · HCC · scoring systems
Raydiac is a managed teleradiology network for hospitals and diagnostic centres. If your site needs CT and MRI cover, or you are a radiologist who wants reporting work on a published rate, we would like to hear from you.