Search Tag: Synthetic Data
2025 21 Oct
Clinical decision support powered by large language models (LLMs) is moving from experimentation to evaluation, bringing both opportunity and risk into focus. Work in gastroenterology demonstrates how sociodemographic details embedded in patient presentations can steer LLM recommendations in different directions even when clinical symptoms are...Read more
2025 21 Oct
Clinical decision support powered by large language models (LLMs) is moving from experimentation to evaluation, bringing both opportunity and risk into focus. Work in gastroenterology demonstrates how sociodemographic details embedded in patient presentations can steer LLM recommendations in different directions even when clinical symptoms are...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 28 Jul
The most profound transformation in medicine today is taking place not in hospitals or biotech labs, but in simulation centres. Traditional clinical trials have long been the backbone of drug development, yet they are hampered by inefficiencies, high costs and systemic biases. The emergence of virtual patients—computer-generated simulations of...Read more
2025 17 May
The adoption of large language models (LLMs) in healthcare has revealed promising opportunities for extracting structured information from unstructured clinical notes. However, widespread deployment faces barriers including computational cost, privacy concerns and dependence on proprietary models. To overcome these challenges, synthetic data distillation...Read more
2024 28 Oct
The rapid digitisation of healthcare and the integration of electronic health records (EHRs) have brought data to the forefront of healthcare analytics. Organisations striving for value-based care increasingly rely on data to make informed decisions, enhance patient outcomes and drive research. However, choosing the right type of data for analytics...Read more
2024 13 Jun
Understanding the nuances of injuries, such as the Maisonneuve fracture, emphasises the importance of looking beyond the obvious in radiology. This lesson, crucial for radiologists, parallels the current fascination and debates surrounding generative artificial intelligence (AI). As the world continues to be captivated by AI, especially in radiology,...Read more
2024 13 Jun
Understanding the nuances of injuries, such as the Maisonneuve fracture, emphasises the importance of looking beyond the obvious in radiology. This lesson, crucial for radiologists, parallels the current fascination and debates surrounding generative artificial intelligence (AI). As the world continues to be captivated by AI, especially in radiology,...Read more