AI-Enhanced Imaging Democratizes Diagnostics
The integration of AI decision-support tools in medical imaging is transforming the landscape by improving diagnostic accuracy, especially for less experienced professionals. This shift signals a growing emphasis on leveraging AI to close expertise gaps in healthcare, ultimately enhancing patient outcomes and operational efficiency across various imaging modalities. As AI becomes an integral part of clinical workflows, both emerging and established practitioners stand to benefit from increased accuracy and reduced workload, while traditional roles in radiology may face disruption.
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Lunit to present extensive AI evidence in breast cancer screening and density‑based risk modeling at RSNA 2025
Korean medical‑AI company Lunit announced it will showcase 14 studies at the RSNA 2025 conference, including real‑world data from Sweden showing that its Lunit INSIGHT MMG system, paired with a single radiologist, increased invasive cancer detection and reduced unnecessary recalls compared with traditional double‑reading. Additional studies from Massachusetts General Hospital and Elizabeth Wende Breast Care evaluate Lunit’s AI on digital breast tomosynthesis and on AI‑derived volumetric breast density for long‑term risk modeling, indicating that density‑informed, AI‑driven approaches can improve calibration and discrimination in risk‑adapted screening programs.
ScreenPoint Medical showcases Transpara Breast AI suite at RSNA 2025
Dutch firm ScreenPoint Medical is using RSNA 2025 to present new clinical evidence and deployments of its Transpara Breast AI suite, which supports detection, density assessment and risk prediction in screening mammography. The company reports that Transpara has now processed over 11 million mammograms across 30+ countries and is included in major randomized controlled trials such as Sweden's MASAI and the upcoming US PRISM study, underscoring the growing role of breast imaging AI in earlier cancer detection and workload reduction.
DeepHealth unveils next-generation imaging informatics and clinical AI portfolio at RSNA 2025
RadNet subsidiary DeepHealth announced a broad expansion of its AI-powered imaging and operations platform at RSNA 2025, including new Diagnostic Suite, TechLive remote scanning, Operations Suite, and multiple clinical "Suite" products for breast, chest, prostate, thyroid and neuro imaging. The portfolio, built on the cloud-native DeepHealth OS, integrates agentic AI, orchestration of over 140 third-party AI algorithms, and real-world deployments such as NHS England’s lung screening program, signaling a push toward end-to-end AI-driven imaging workflows at population scale.
AI decision-support boosts thyroid ultrasound accuracy for less experienced readers
Research presented at RSNA 2025 and reported by AuntMinnie shows that an AI-based thyroid ultrasound support system (CadAI-T for Thyroid, from Korean firm BeamWorks) significantly improved diagnostic performance for inexperienced readers, raising AUC from 0.75 to 0.84 and improving sensitivity and specificity. Experienced radiologists saw little added benefit, suggesting that such tools may be most impactful as training and triage aids that help narrow the expertise gap rather than replace specialists.