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Coreline Soft Expands Lung Cancer Screening AI Beyond Detection to Integrated Screening and Follow-Up Management - Korea IT Times

AI-enabled lung cancer screening is expanding from detecting nodules to integrated screening and follow-up management, with a hub-based platform to connect centers, interpretation, and patient tracking, discussed at the 50th I-ELCAP conference in New York.

Lung Cancer Awareness Month: Screening Becomes Long-Term Healthcare Infrastructure - Korea IT Times

Lung cancer screening is expanding into ongoing healthcare infrastructure across multiple countries, integrating repeat imaging, follow-up care, and hospital networks; governments and providers are scaling programs, incorporating AI tools, and addressing capacity and participation challenges.

What medical imaging and artificial intelligence can do for cancer screening in Spain

Translated title. Original: Lo que la dupla imagen médica e inteligencia artificial puede hacer por el cribado del cáncer en España

The article discusses how medical imaging and artificial intelligence are transforming cancer screening in Spain, focusing on radiologists' interpretation, AI-assisted reads, and future personalization of screening. It notes Valencia's adoption of AI as a supplementary read, potential benefits for reducing unnecessary tests, and ongoing challenges around data, regulation, and implementation.

Machine learning models predict common cancer risks using routine health data

ML models using routine health data predict cancer risk across multiple cancers, validated in diverse populations, with strong long-term AUROC but varying by cancer type; a PRE-Screen toolbox enables AI agents to run models, suggesting potential for low-cost, data-driven pre-screening while noting need for external validation.

Artificial intelligence calculates five-year breast cancer risk from a single mammogram - Libertad Digital

Translated title. Original: La inteligencia artificial calcula el riesgo de cáncer de mama a cinco años con una sola mamografía - Libertad Digital

AI-powered analysis of a normal-appearing mammogram estimates the five-year breast cancer risk, using Transpara Risk Index to predict future cancers based on density and textural features; initial results show modest AUCs and concentration of cancers among the top-risk group, with ongoing multi-center validation and potential for personalized screening strategies.

Comparison of AI-integrated pathways with human-AI interaction in population mammographic screening for breast cancer | Nature Communications

The paper describes a population breast cancer screening study in Victoria using ADMANI data, detailing ethics, consent, data governance, screening workflow, dataset construction, and data processing for model development and testing.

Pink October: artificial intelligence adds precision in early detection of breast cancer - Norte en Línea

Translated title. Original: Octubre Rosa: la inteligencia artificial suma precisión en la detección temprana del cáncer de mama - Norte en Línea

AI can improve breast cancer detection as a second reader in Argentina, helping catch interval cancers and reduce radiologist workload, while emphasizing that regular screening remains essential.

From "coffee for all" to personalized screening: AI that aims to anticipate breast cancer | Health

Translated title. Original: Del 'café para todos' al cribado a medida: la IA que busca anticiparse al cáncer de mama | Salud

The article reports that AI tools, led by Clairity Breast, can estimate a woman's five-year breast cancer risk from a screening mammogram, enabling more personalized screening. While FDA-approved and commercially available, these models do not diagnose cancer or replace clinical judgment, and their integration into population screening requires validation and assessment of clinical impact.

Doctors, after using AI, overlooked 20% more tumors. New studies show what artificial intelligence is actually taking from us

Translated title. Original: Lékaři po používání AI přehlíželi o 20 % více nádorů. Nové studie ukazují, co nám umělá inteligence ve skutečnosti bere

A multicenter study finds AI-assisted detection during colonoscopies correlates with a drop in adenoma detection after AI use, suggesting potential skill erosion if clinicians rely too heavily on AI; similar concerns appear in programming and management, emphasizing careful, active engagement and ongoing verification of AI outputs.

Mammography AI Screening Tools, Comparative Tables | DenseBreast-info, Inc.

Mammogram-based AI can estimate short-term breast cancer risk and help identify women most likely to benefit from supplemental MRI. The document reviews evidence, potential benefits, and limits, including missed cancers, uneven validation, limited MRI access, and debated risk thresholds.