Search Tag: AI
2025 10 Nov
Rising MRI volumes and increasingly complex examinations continue to pressure radiology services. Responding to this demand, researchers developed a deep learning (DL) model to analyse routine knee MRI and assessed its value for resident radiologists. The model targets 23 conditions across cartilage, menisci, bone marrow, ligaments and other soft...Read more
2025 10 Nov
Rising MRI volumes and increasingly complex examinations continue to pressure radiology services. Responding to this demand, researchers developed a deep learning (DL) model to analyse routine knee MRI and assessed its value for resident radiologists. The model targets 23 conditions across cartilage, menisci, bone marrow, ligaments and other soft...Read more
2025 10 Nov
Rising MRI volumes and increasingly complex examinations continue to pressure radiology services. Responding to this demand, researchers developed a deep learning (DL) model to analyse routine knee MRI and assessed its value for resident radiologists. The model targets 23 conditions across cartilage, menisci, bone marrow, ligaments and other soft...Read more
2025 16 Oct
Rapid identification of critical radiology findings is essential as reporting volumes rise and language grows more nuanced. Traditional natural language processing depends on rules or large annotated datasets, which can miss context. General-purpose large language models (LLMs) offer a prompt-driven alternative that may work without retraining....Read more
2025 16 Oct
Rapid identification of critical radiology findings is essential as reporting volumes rise and language grows more nuanced. Traditional natural language processing depends on rules or large annotated datasets, which can miss context. General-purpose large language models (LLMs) offer a prompt-driven alternative that may work without retraining....Read more
2025 16 Oct
Rapid identification of critical radiology findings is essential as reporting volumes rise and language grows more nuanced. Traditional natural language processing depends on rules or large annotated datasets, which can miss context. General-purpose large language models (LLMs) offer a prompt-driven alternative that may work without retraining....Read more
2025 16 Oct
Rapid identification of critical radiology findings is essential as reporting volumes rise and language grows more nuanced. Traditional natural language processing depends on rules or large annotated datasets, which can miss context. General-purpose large language models (LLMs) offer a prompt-driven alternative that may work without retraining....Read more
2025 16 Oct
Rapid identification of critical radiology findings is essential as reporting volumes rise and language grows more nuanced. Traditional natural language processing depends on rules or large annotated datasets, which can miss context. General-purpose large language models (LLMs) offer a prompt-driven alternative that may work without retraining....Read more
2025 14 Oct
The ICU stands at the forefront of modern medicine, tasked with managing life-threatening conditions in the most vulnerable patients. Treatment success and patient survival depend on robust scientific inquiry and rigorous research. From developing life support technologies to refining clinical protocols, evidence-based practice is the engine that...Read more
2025 29 Sep
Advances in reality capture and artificial intelligence are accelerating the use of digital twins beyond traditional engineering domains. Virtual replicas of physical processes or systems can now simulate more complex, dynamic environments, supporting capital allocation, strategic choices and operational efficiency in ways that were previously...Read more
2025 29 Sep
Advances in reality capture and artificial intelligence are accelerating the use of digital twins beyond traditional engineering domains. Virtual replicas of physical processes or systems can now simulate more complex, dynamic environments, supporting capital allocation, strategic choices and operational efficiency in ways that were previously...Read more
2025 29 Sep
Advances in reality capture and artificial intelligence are accelerating the use of digital twins beyond traditional engineering domains. Virtual replicas of physical processes or systems can now simulate more complex, dynamic environments, supporting capital allocation, strategic choices and operational efficiency in ways that were previously...Read more
2025 10 Sep
A new wave of frontier technologies is converging to reshape how health systems diagnose, treat and deliver care. Artificial intelligence now acts as a force multiplier for other domains, from robotics to bioengineering, accelerating discovery and enabling more adaptive systems. Agentic AI introduces software agents that plan and execute multistep...Read more
2025 10 Sep
Automation is transforming how medical devices are produced, with intelligent systems streamlining operations and improving consistency. The use of robotics, artificial intelligence and connected technologies is reducing errors, accelerating production and strengthening quality controls. Rising regulatory demands, growing market pressures and...Read more
2025 16 Aug
Radiomics and machine learning are increasingly explored as tools to improve prognostic accuracy in oncology. Baseline ^18F-FDG PET/CT scans are widely used in diffuse large B-cell lymphoma to inform treatment decisions and assess disease response. Alongside standard uptake values and total metabolic tumour volume, radiomic features offer additional...Read more
2025 13 Jun
As the healthcare sector becomes increasingly reliant on technology, the demand for skilled IT professionals grows. However, the complexities of emerging technologies, particularly artificial intelligence and cybersecurity, as well as the challenges of recruiting new talent have led healthcare organisations to focus on upskilling their existing...Read more
2025 13 Jun
As the healthcare sector becomes increasingly reliant on technology, the demand for skilled IT professionals grows. However, the complexities of emerging technologies, particularly artificial intelligence and cybersecurity, as well as the challenges of recruiting new talent have led healthcare organisations to focus on upskilling their existing...Read more
2025 30 May
Health systems need transformation through integrated data, technology and talent. Key priorities include developing a future-ready workforce, strengthening public-private partnerships, ensuring data interoperability and fostering adaptive learning systems. Bold policy innovation is essential to support digital health, equity and sustainability,...Read more
2025 30 May
Healthcare is shaped by competing institutional logics—professional, managerial and market—each influencing medical practices and business models. These logics often clash, especially between quality care and cost-efficiency. AI holds the potential to ease these tensions by streamlining workflows and freeing up resources, particularly through non-interpretative...Read more
2025 30 May
Digital transformation reshapes healthcare systems across the world, enabling more proactive, data-driven and personalised approaches to care. Such technologies as AI, cloud computing and digital therapeutics promise to optimise operations, support clinical decision-making and expand access to care. However, true transformation requires more than innovation...Read more
2025 16 May
The nursing profession stands at a pivotal moment. With nearly two-thirds of U.S. registered nurses planning to make career changes in the next year, workforce volatility is no longer a looming concern—it is a current reality. The 2025 Survey of Registered Nurses, based on responses from over 12,000 professionals, outlines both the persistent...Read more
2025 06 May
Q1 2025 Group performance Group sales EUR 4.1 billion, reflecting a 2% decline in comparable sales growth mainly due to China; slightly ahead of company outlook due to Personal Health growth and royalty phasing Comparable order intake increased 2% despite China decline Income from operations increased to EUR 154 million...Read more
2024 29 Nov
Multidisciplinary teams in healthcare, enhanced by technology experts, offer a comprehensive approach to patient care. By incorporating data analysts and AI specialists, teams can utilise real-time health data from wearables and digital platforms, improving diagnostic accuracy and enabling personalised treatments. As digital health data grows,...Read more
2024 11 Nov
As the European Union prepares to roll out the European Health Data Space (EHDS), the need for organised, secure, and accessible healthcare data is more urgent than ever. BC Platforms, a leading player in real-world data and healthcare analytics, has introduced a platform specifically designed to support healthcare institutions in meeting EHDS...Read more
2024 21 May
Machine learning has significantly advanced various industries, particularly in healthcare, where deep learning is revolutionising drug discovery, early diagnosis, medical imaging, and personalised treatments. However, these advancements come with challenges, notably issues of interpretability, data availability, and inherent biases. Bias in machine...Read more
2024 21 May
Machine learning has significantly advanced various industries, particularly in healthcare, where deep learning is revolutionising drug discovery, early diagnosis, medical imaging, and personalised treatments. However, these advancements come with challenges, notably issues of interpretability, data availability, and inherent biases. Bias in machine...Read more
2024 21 May
Sanofi, Formation Bio and OpenAI are collaborating to build AI-powered software to accelerate drug development and bring new medicines to patients more efficiently. The three teams will bring together data, software and tuned models to develop custom, purpose-built solutions across the drug development lifecycle. This represents a first collaboration...Read more
2024 21 May
Sanofi, Formation Bio and OpenAI are collaborating to build AI-powered software to accelerate drug development and bring new medicines to patients more efficiently. The three teams will bring together data, software and tuned models to develop custom, purpose-built solutions across the drug development lifecycle. This represents a first collaboration...Read more
2024 17 May
The integration of artificial intelligence (AI) into radiography has brought significant advancements in diagnostic capabilities and workflow efficiency, but it also presents ethical challenges. Radiographers play a crucial role in this integration, and understanding their perspectives on AI ethics is vital. Ethical considerations include patient...Read more
2024 09 May
NVIDIA, primarily known for its groundbreaking GPUs in the gaming industry, has made significant strides in healthcare. While its foray into this sector might have initially caused confusion, the company has emerged as a key player, especially in the realm of AI-driven solutions. In recent years, NVIDIA has intensified its efforts, culminating...Read more