Search Tag: AI Safety
2025 23 Sep
Clinical AI is moving quickly from operational use into decision support, bringing a growing array of predictive and generative tools to the bedside. Yet expecting every clinician to select, apply and interpret complex models reliably is unrealistic. Evidence shows that handing model outputs directly to physicians does not consistently improve...Read more
2025 23 Sep
Clinical AI is moving quickly from operational use into decision support, bringing a growing array of predictive and generative tools to the bedside. Yet expecting every clinician to select, apply and interpret complex models reliably is unrealistic. Evidence shows that handing model outputs directly to physicians does not consistently improve...Read more
2025 23 Sep
Clinical AI is moving quickly from operational use into decision support, bringing a growing array of predictive and generative tools to the bedside. Yet expecting every clinician to select, apply and interpret complex models reliably is unrealistic. Evidence shows that handing model outputs directly to physicians does not consistently improve...Read more
2025 23 Sep
Clinical AI is moving quickly from operational use into decision support, bringing a growing array of predictive and generative tools to the bedside. Yet expecting every clinician to select, apply and interpret complex models reliably is unrealistic. Evidence shows that handing model outputs directly to physicians does not consistently improve...Read more
2025 18 Aug
Large language models (LLMs) are gaining ground in healthcare, where they are used to generate clinical summaries, support decision-making and assist in patient communication. Their ability to synthesise complex medical knowledge into accessible text offers clear advantages, but their reliability is challenged by a phenomenon known as hallucination....Read more
2025 18 Aug
Large language models (LLMs) are gaining ground in healthcare, where they are used to generate clinical summaries, support decision-making and assist in patient communication. Their ability to synthesise complex medical knowledge into accessible text offers clear advantages, but their reliability is challenged by a phenomenon known as hallucination....Read more
2024 18 Nov
Generative AI is rapidly reshaping the healthcare sector, offering significant advancements while posing unique challenges. Since the advent of ChatGPT in 2022, these AI systems have demonstrated an extraordinary ability to mimic human communication, generate original content and assist in clinical workflows. As adoption accelerates, the focus...Read more
2024 18 Nov
Artificial intelligence is expected to transform healthcare, offering unprecedented opportunities for improving patient outcomes, enhancing care delivery and modernising operations. Despite its promise, integrating AI tools into clinical settings has been met with caution, largely due to valid concerns surrounding safety, transparency and ethical...Read more
2024 18 Nov
Artificial intelligence is expected to transform healthcare, offering unprecedented opportunities for improving patient outcomes, enhancing care delivery and modernising operations. Despite its promise, integrating AI tools into clinical settings has been met with caution, largely due to valid concerns surrounding safety, transparency and ethical...Read more
2024 22 Jan
The report titled “Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations” was jointly published 22 January 2024 by a consortium of preeminent radiology organisations. The American College of Radiology (ACR), Canadian Association of Radiologists (CAR), European Society of Radiology (ESR), Royal Australian...Read more