Search Tag: large language models
2025 23 Oct
Rapid advances in large language models (LLMs) are reshaping conversational decision support in healthcare. An evaluation of eight contemporary systems on concise, single-turn clinical vignettes assessed diagnostic and triage performance with and without structured prompts. The work compared overall accuracy, examined safety-oriented behaviours...Read more
2025 23 Oct
Rapid advances in large language models (LLMs) are reshaping conversational decision support in healthcare. An evaluation of eight contemporary systems on concise, single-turn clinical vignettes assessed diagnostic and triage performance with and without structured prompts. The work compared overall accuracy, examined safety-oriented behaviours...Read more
2025 23 Oct
Rapid advances in large language models (LLMs) are reshaping conversational decision support in healthcare. An evaluation of eight contemporary systems on concise, single-turn clinical vignettes assessed diagnostic and triage performance with and without structured prompts. The work compared overall accuracy, examined safety-oriented behaviours...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 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 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 13 Sep
Adverse drug reactions remain a persistent threat to patient safety, ranging from mild discomfort to life-threatening events. Surveillance data underlines the scale of the problem, with large volumes of serious events reported and substantial mortality recorded alongside the growing complexity of modern pharmacotherapy. At the same time, the most...Read more
2025 13 Sep
Adverse drug reactions remain a persistent threat to patient safety, ranging from mild discomfort to life-threatening events. Surveillance data underlines the scale of the problem, with large volumes of serious events reported and substantial mortality recorded alongside the growing complexity of modern pharmacotherapy. At the same time, the most...Read more
2025 24 Aug
Large language models are being integrated into radiology workflows with growing interest, thanks to their ability to perform advanced natural language tasks. These tools support report generation, summarisation, data labelling and clinical decision support. However, their tendency to generate inaccurate or misleading information, often referred...Read more
2025 01 Aug
Large Language Models (LLMs) have become a cornerstone in digital transformation, especially in healthcare. However, their standalone deployment in conversational health agents (CHAs) has limitations. Conventional CHAs excel in natural dialogue but lack personalised data integration, multimodal input processing and complex problem-solving. Addressing...Read more
2025 28 Jul
With an increasing adoption of artificial intelligence tools to support clinical workflows and streamline administrative processes in healthcare, the focus is often on efficiency gains. AI-generated chart notes, summarised clinical records and care plans promise to reduce burdens on clinicians and save valuable time. However, alongside the promise...Read more
2025 28 Jul
With an increasing adoption of artificial intelligence tools to support clinical workflows and streamline administrative processes in healthcare, the focus is often on efficiency gains. AI-generated chart notes, summarised clinical records and care plans promise to reduce burdens on clinicians and save valuable time. However, alongside the promise...Read more
2025 30 May
Large language models (LLMs) such as DeepSeek are increasingly being used to support health-related decision-making by everyday users. These generative AI systems offer conversational, on-demand answers to a wide range of queries, including those related to symptoms, diagnoses and treatments. However, while interest is growing, the decision to...Read more
2025 30 May
Radiology plays a critical role in diagnosing thoracic conditions, but its effectiveness depends heavily on the clarity and accuracy of reports. Unfortunately, various sources of error—ranging from speech recognition software limitations to human interpretation biases—pose risks to patient safety and care quality. Traditional solutions, such as...Read more
2025 17 May
The introduction of large language models (LLMs) and multimodal LLMs (MLLMs) into health care offers considerable promise—from enhancing diagnostic precision to simplifying communication. However, these capabilities come with a new set of cybersecurity threats that must be actively managed. Unlike traditional software, LLMs are trained on massive...Read more
2025 24 Apr
Accurate labelling of medical imaging data remains one of the most demanding aspects of training artificial intelligence models for diagnostic purposes. Traditionally, this task relies on expert annotations, a process that is both time-consuming and resource-intensive. Radiology reports often contain rich diagnostic insights that could be repurposed...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 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