Search Tag: GPT-4
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 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 04 Mar
Large Language Models (LLMs) have shown great promise in healthcare applications, from assisting with research to supporting clinical decision-making. However, their tendency to generate misleading or fabricated responses—commonly referred to as "hallucinations"—raises concerns about their reliability. While these models can accurately answer...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
2024 16 Apr
A recent article published in the New England Journal of Medicine AI discusses the role of large language models (LLMs), particularly ChatGPT, in artificial intelligence (AI) as virtual problem solvers with human-like text generation abilities. It highlights the potential of LLMs in supporting clinicians and suggests comparing their performance...Read more
2024 16 Apr
A recent article published in the New England Journal of Medicine AI discusses the role of large language models (LLMs), particularly ChatGPT, in artificial intelligence (AI) as virtual problem solvers with human-like text generation abilities. It highlights the potential of LLMs in supporting clinicians and suggests comparing their performance...Read more
2024 16 Apr
A recent article published in the New England Journal of Medicine AI discusses the role of large language models (LLMs), particularly ChatGPT, in artificial intelligence (AI) as virtual problem solvers with human-like text generation abilities. It highlights the potential of LLMs in supporting clinicians and suggests comparing their performance...Read more