Search Tag: Clinical safety
2025 18 Nov
Artificial intelligence is reshaping healthcare by accelerating diagnostics and streamlining operations, yet its rapid adoption has expanded exposure to cyber threats. Patient data has long been a target for attackers and artificial intelligence depends on large volumes of such data to function and improve. Small manipulations of inputs can trigger...Read more
2025 18 Nov
Artificial intelligence is reshaping healthcare by accelerating diagnostics and streamlining operations, yet its rapid adoption has expanded exposure to cyber threats. Patient data has long been a target for attackers and artificial intelligence depends on large volumes of such data to function and improve. Small manipulations of inputs can trigger...Read more
2025 18 Nov
Artificial intelligence is reshaping healthcare by accelerating diagnostics and streamlining operations, yet its rapid adoption has expanded exposure to cyber threats. Patient data has long been a target for attackers and artificial intelligence depends on large volumes of such data to function and improve. Small manipulations of inputs can trigger...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 06 Oct
A rapid shift in how a widely used chatbot responds to sensitive conversations has intensified debate about the role of artificial intelligence in mental health. OpenAI’s latest model has been perceived by many users as colder and more disconnected, prompting backlash from people who had come to rely on it for emotional support. The product owner...Read more
2025 06 Oct
A rapid shift in how a widely used chatbot responds to sensitive conversations has intensified debate about the role of artificial intelligence in mental health. OpenAI’s latest model has been perceived by many users as colder and more disconnected, prompting backlash from people who had come to rely on it for emotional support. The product owner...Read more
2025 10 Sep
Artificial intelligence is advancing across healthcare faster than the infrastructure required to govern it. Health systems are already integrating generative models into documentation and deploying predictive tools in virtual care, yet the frameworks that safeguard data quality and patient safety are still maturing. The result is uneven adoption...Read more
2025 10 Sep
Artificial intelligence is advancing across healthcare faster than the infrastructure required to govern it. Health systems are already integrating generative models into documentation and deploying predictive tools in virtual care, yet the frameworks that safeguard data quality and patient safety are still maturing. The result is uneven adoption...Read more
2025 10 Sep
Artificial intelligence is advancing across healthcare faster than the infrastructure required to govern it. Health systems are already integrating generative models into documentation and deploying predictive tools in virtual care, yet the frameworks that safeguard data quality and patient safety are still maturing. The result is uneven adoption...Read more
2025 09 Sep
Artificial intelligence has become deeply embedded in healthcare delivery, from triage and diagnostics to discharge. Its ability to process vast data rapidly offers opportunities to improve survival rates and efficiency, yet history shows that poorly designed or monitored systems can create severe risks. Cases of failed implementation illustrate...Read more
2025 09 Sep
Artificial intelligence has become deeply embedded in healthcare delivery, from triage and diagnostics to discharge. Its ability to process vast data rapidly offers opportunities to improve survival rates and efficiency, yet history shows that poorly designed or monitored systems can create severe risks. Cases of failed implementation illustrate...Read more
2023 23 Jun
The Catalan Department of Health has set up a project ‘Health data to share – Blue Button’ - a new system that allows citizens to get access to their own medical history. This is enabled through a health app known as ‘Catalonia on La Meva Salut (MyHealth)’. The Catalan public health system is the first in the European Union to create a tool that...Read more