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AI Radiology
27 posts
MedSAM: Transformative Foundation Model for Universal Medical Image Segmentation
thehealthtransformation.foundation Joaquim Cardoso MSc January 29, 2024 This executive summary is based on the article “Segment anything in medical…
Revolucionando a radiologia: 10 previsões ousadas para o futuro da IA e da informática
Resumo de uma página O artigo “O futuro da IA e da informática em radiologia: 10 previsões”, de…
Revolutionizing Radiology: 10 Bold Predictions for the Future of AI and Informatics
the health strategistinstitute for strategic health transformation & digital technology Joaquim Cardoso MSc. Chief Research and Strategy Officer (CRSO),Chief Editor and…
Desafios da Integração da IA na Radiologia: Equilibrando Produtividade e Inovação
the health strategistinstitute for strategic health transformation & digital technology Joaquim Cardoso MSc. Chief Research and Strategy Officer (CRSO),Chief Editor and…
Radiology’s AI Integration Challenges: Balancing Productivity and Innovation
the health strategistinstitute for strategic health transformation & digital technology Joaquim Cardoso MSc. Chief Research and Strategy Officer (CRSO),Chief Editor and…
While AI has promise in radiology, it still lags behind human radiologists, particularly in cases with complex or multiple findings.
the health strategist institute for continuous health systems transformationand digital health Joaquim Cardoso MSc. Founder and CEO Education: Engineering (BSc…
Revolutionizing Musculoskeletal Imaging: Recent Advances in CT Technology and Postprocessing Techniques
the health strategistinstitute for strategic health transformation& digital health Joaquim Cardoso MSc. Chief Research and Strategy Officer (CRSO),Chief Editor…
Using Machine Learning to Reduce the Need for Contrast Agents in Breast MRI through Synthetic Images
the health strategist research and strategy institute — for continuous transformationin value based health, care & tech Joaquim Cardoso MSc.Chief…
RADIOLOGY 2040 — radiologists whose activities are limited to image interpretation will not only become a commodity but, eventually, may become obsolete.
This is a republication of the paper “Radiology 2040”, with the title above. the health transformation institute for…
Seven Takeaways from a New Guidance on AI Implementation in Radiology
Diagnostic ImagingJeff HallAugust 4, 2022 Recognizing the potential benefits and daunting challenges of incorporating artificial intelligence (AI) models…