Search Tag: diagnostic AI
2025 05 Oct
Artificial intelligence is reshaping chest radiography by automating complex image interpretation tasks and supporting multi-class diagnosis. Two prominent strategies are compared side by side: radiomics, which extracts handcrafted quantitative features, and deep learning, which learns hierarchical representations directly from images using convolutional...Read more
2025 05 Oct
Artificial intelligence is reshaping chest radiography by automating complex image interpretation tasks and supporting multi-class diagnosis. Two prominent strategies are compared side by side: radiomics, which extracts handcrafted quantitative features, and deep learning, which learns hierarchical representations directly from images using convolutional...Read more
2025 05 Oct
Artificial intelligence is reshaping chest radiography by automating complex image interpretation tasks and supporting multi-class diagnosis. Two prominent strategies are compared side by side: radiomics, which extracts handcrafted quantitative features, and deep learning, which learns hierarchical representations directly from images using convolutional...Read more
2025 21 Sep
Radiology departments face rising imaging volumes, growing complexity of examinations and increasing pressure to deliver accurate reports efficiently. While artificial intelligence has been adopted to assist with specific detection or triage tasks, such narrow systems have clear limitations when deployed at scale. They often duplicate costs, fragment...Read more
2025 21 Sep
Radiology departments face rising imaging volumes, growing complexity of examinations and increasing pressure to deliver accurate reports efficiently. While artificial intelligence has been adopted to assist with specific detection or triage tasks, such narrow systems have clear limitations when deployed at scale. They often duplicate costs, fragment...Read more
2025 21 Sep
Radiology departments face rising imaging volumes, growing complexity of examinations and increasing pressure to deliver accurate reports efficiently. While artificial intelligence has been adopted to assist with specific detection or triage tasks, such narrow systems have clear limitations when deployed at scale. They often duplicate costs, fragment...Read more
2025 13 Aug
Medical imaging is central to diagnosis and treatment planning across a wide range of clinical conditions. However, rising scan volumes and workforce shortages are placing pressure on radiology services. Artificial intelligence offers tools to reduce workload and improve diagnostic performance, and among these, foundation models are attracting...Read more
2025 13 Aug
Medical imaging is central to diagnosis and treatment planning across a wide range of clinical conditions. However, rising scan volumes and workforce shortages are placing pressure on radiology services. Artificial intelligence offers tools to reduce workload and improve diagnostic performance, and among these, foundation models are attracting...Read more
2025 28 Jul
Radiology is central to contemporary clinical practice, offering vital imaging insights that support diagnosis and treatment planning. Formalised radiology reports remain essential for conveying imaging findings to referring physicians, traditionally produced through manual interpretation. To enhance reporting efficiency, speech recognition software...Read more
2025 15 Jun
Multimodal generative artificial intelligence is opening new frontiers in healthcare, particularly in the interpretation of complex medical imaging. While current AI tools already assist clinicians with electronic health records and basic image recognition, advanced vision-language generative models promise to transform how 3D medical images and...Read more
2025 15 Jun
Multimodal generative artificial intelligence is opening new frontiers in healthcare, particularly in the interpretation of complex medical imaging. While current AI tools already assist clinicians with electronic health records and basic image recognition, advanced vision-language generative models promise to transform how 3D medical images and...Read more
2025 15 Jun
Multimodal generative artificial intelligence is opening new frontiers in healthcare, particularly in the interpretation of complex medical imaging. While current AI tools already assist clinicians with electronic health records and basic image recognition, advanced vision-language generative models promise to transform how 3D medical images and...Read more
2025 30 May
Artificial intelligence (AI) and deep learning have brought transformative potential to radiology, supporting diagnostics, workflow optimisation and triage. However, concerns regarding algorithmic bias have surfaced as these models are deployed in clinical settings. These biases, often embedded in training data, can lead to performance disparities...Read more
2025 30 May
Artificial intelligence (AI) and deep learning have brought transformative potential to radiology, supporting diagnostics, workflow optimisation and triage. However, concerns regarding algorithmic bias have surfaced as these models are deployed in clinical settings. These biases, often embedded in training data, can lead to performance disparities...Read more
2025 30 May
Artificial intelligence (AI) and deep learning have brought transformative potential to radiology, supporting diagnostics, workflow optimisation and triage. However, concerns regarding algorithmic bias have surfaced as these models are deployed in clinical settings. These biases, often embedded in training data, can lead to performance disparities...Read more
2025 27 Feb
At the European Congress of Radiology (ECR), Federica Zanca, Programme Manager for Medical Imaging and AI at the European Innovation Council (EIC) in Leuven, Belgium, addressed the critical funding landscape for AI in healthcare under the Horizon Europe framework. She delineated the framework's three foundational pillars: Excellence, Thematic Research...Read more
2025 26 Feb
Artificial Intelligence is reshaping healthcare by enhancing diagnostics, improving clinical outcomes and optimising operational efficiency. It enables remote patient care, streamlines workflows and reduces healthcare costs. AI also contributes to sustainability by minimising waste and energy consumption. However, realising its full potential requires...Read more
2024 23 Jul
America’s medical schools, renowned for their cutting-edge facilities and history of innovation, face a critical juncture. With artificial intelligence (AI) poised to revolutionise healthcare, the question arises: are these institutions prepared to integrate this transformative technology into their curricula effectively? While many have begun...Read more
2024 23 Jul
America’s medical schools, renowned for their cutting-edge facilities and history of innovation, face a critical juncture. With artificial intelligence (AI) poised to revolutionise healthcare, the question arises: are these institutions prepared to integrate this transformative technology into their curricula effectively? While many have begun...Read more
2024 23 Jul
America’s medical schools, renowned for their cutting-edge facilities and history of innovation, face a critical juncture. With artificial intelligence (AI) poised to revolutionise healthcare, the question arises: are these institutions prepared to integrate this transformative technology into their curricula effectively? While many have begun...Read more
2024 11 Jul
Less than five months after its launch, French startup Bioptimus has announced the release of H-optimus-0, the world’s largest open-source AI foundation model for pathology. With 1.1 billion parameters, H-optimus-0 is trained on a proprietary dataset of several hundreds of millions of images extracted from over 500,000 histopathology slides...Read more
2024 11 Jul
Less than five months after its launch, French startup Bioptimus has announced the release of H-optimus-0, the world’s largest open-source AI foundation model for pathology. With 1.1 billion parameters, H-optimus-0 is trained on a proprietary dataset of several hundreds of millions of images extracted from over 500,000 histopathology slides...Read more