Search Tag: large language models
2025 20 Apr
Artificial intelligence holds transformative potential for healthcare, particularly when applied through large language models (LLMs). These models promise enhanced administrative efficiency, better clinical decision-making and improved patient experiences. However, the value of these tools depends heavily on how well users can guide them—a process...Read more
2025 20 Apr
Artificial intelligence holds transformative potential for healthcare, particularly when applied through large language models (LLMs). These models promise enhanced administrative efficiency, better clinical decision-making and improved patient experiences. However, the value of these tools depends heavily on how well users can guide them—a process...Read more
2025 14 Apr
The use of artificial intelligence (AI), particularly large language models (LLMs), is gaining traction in healthcare. While these technologies have primarily supported clinicians, helping manage workload and reduce burnout, their potential in enhancing patient understanding remains underexplored. Following the 21st Century Cures Act and the rise in...Read more
2025 14 Apr
The use of artificial intelligence (AI), particularly large language models (LLMs), is gaining traction in healthcare. While these technologies have primarily supported clinicians, helping manage workload and reduce burnout, their potential in enhancing patient understanding remains underexplored. Following the 21st Century Cures Act and the rise in...Read more
2025 25 Mar
The emergence of large language models (LLMs) has transformed many aspects of medical decision-making once thought to require human judgment. Proprietary models such as GPT-4 have garnered attention for their high performance in clinical reasoning, including generating differential diagnoses in complex cases. However, the arrival of advanced open-source...Read more
2025 17 Mar
The integration of large language models (LLMs) into radiological workflows has emerged as a promising development in medical imaging. Brain MRI differential diagnosis requires substantial expertise, as radiologists must interpret complex imaging findings while synthesising clinical information. The ability to generate accurate differential diagnoses...Read more
2025 17 Mar
The integration of large language models (LLMs) into radiological workflows has emerged as a promising development in medical imaging. Brain MRI differential diagnosis requires substantial expertise, as radiologists must interpret complex imaging findings while synthesising clinical information. The ability to generate accurate differential diagnoses...Read more
2025 25 Feb
The integration of artificial intelligence into healthcare decision-making is transforming various aspects of clinical practice, including antibiotic prescribing. AI-powered tools, particularly large language models (LLMs), offer the potential to enhance antimicrobial stewardship by providing clinicians with real-time, context-aware recommendations....Read more
2025 25 Feb
The integration of artificial intelligence into healthcare decision-making is transforming various aspects of clinical practice, including antibiotic prescribing. AI-powered tools, particularly large language models (LLMs), offer the potential to enhance antimicrobial stewardship by providing clinicians with real-time, context-aware recommendations....Read more
2025 18 Feb
The integration of artificial intelligence into healthcare has gained traction, particularly in diagnostics. Large language models (LLMs) such as Claude 3.5 Sonnet and GPT-4o have demonstrated potential in diagnosing complex cases with gastrointestinal (GI) symptoms. A recent study published in npj Digital Medicine has compared multiple LLMs...Read more
2025 18 Feb
The integration of artificial intelligence into healthcare has gained traction, particularly in diagnostics. Large language models (LLMs) such as Claude 3.5 Sonnet and GPT-4o have demonstrated potential in diagnosing complex cases with gastrointestinal (GI) symptoms. A recent study published in npj Digital Medicine has compared multiple LLMs...Read more
2025 09 Feb
Accurate clinical histories are essential for oncologic imaging, providing radiologists with the necessary context to interpret scans effectively. The details included in imaging requisitions influence study triage, protocol selection and diagnostic accuracy. However, despite their importance, requisitions often lack key information, such as the...Read more
2025 09 Feb
Accurate clinical histories are essential for oncologic imaging, providing radiologists with the necessary context to interpret scans effectively. The details included in imaging requisitions influence study triage, protocol selection and diagnostic accuracy. However, despite their importance, requisitions often lack key information, such as the...Read more
2025 29 Jan
Efficient management of healthcare data is paramount for improving clinical outcomes. However, extracting meaningful information from electronic health records (EHRs), especially unstructured or semi-structured data, remains a considerable challenge. This process is not only time-consuming but also prone to errors, which can divert valuable time...Read more
2024 04 Nov
The increasing reliance on data-driven insights in healthcare has amplified the need for comprehensive, high-quality datasets. However, acquiring health data poses significant challenges due to ethical, legal and practical constraints. Privacy concerns, the rarity of some diseases and the rapid evolution of health conditions such as COVID-19 limit...Read more
2024 27 Oct
Structured reporting (SR) in radiology aims to standardise and enhance the quality of radiological reports, improving consistency, clarity and adherence to guidelines. Despite the recognised benefits, implementing SR widely has proven challenging. Traditional methods of SR often require considerable effort to create, maintain and update templates....Read more
2024 27 Oct
Structured reporting (SR) in radiology aims to standardise and enhance the quality of radiological reports, improving consistency, clarity and adherence to guidelines. Despite the recognised benefits, implementing SR widely has proven challenging. Traditional methods of SR often require considerable effort to create, maintain and update templates....Read more
2024 11 Jun
Large language models (LLMs) are advanced deep learning models that generate human-like text using a multilayer neural network architecture. Trained unsupervised on vast amounts of text data, they understand word relationships and predict subsequent words in a sequence. ChatGPT, developed by OpenAI and launched on November 30, 2022, is an LLM based...Read more
2024 02 Mar
Clearly, ChatGPT and other large language models (LLM) are one of the potentially most transformative developments in AI to date. Those generative models offer potentials not yet fully perceivable – especially if and how those could be applied in medicine and radiology. This session discussed potential applications of LLMs in radiology, from documentation...Read more