Special report highlights LLM cybersecurity threats in radiology

Special report highlights LLM cybersecurity threats in radiology

In a new special report, researchers address the cybersecurity challenges of large language models (LLMs) and the importance of implementing security measures to prevent LLMs from being used maliciously in the health care system. The special report was published in Radiology: Artificial Intelligence.

Experts highlight LLM cybersecurity threats in radiology

In a new special report, researchers address the cybersecurity challenges of large language models (LLMs) and the importance of implementing security measures to prevent LLMs from being used maliciously in the health care system.

Radiologists aren’t going anywhere

(TechCrunch) – Nine years ago, AI pioneer Geoffrey Hinton sent shock waves through medicine by declaring it “just completely obvious” that AI would make radiologists extinct in short order. Fast-forward and the specialists — who do more than analyze images — are thriving, observes The New York Times. In fact, the field is experiencing explosive growth amid a looming workforce crisis. (Read More)

Special Report Uncovers Cybersecurity Threats of Large Language Models in

In recent years, large language models (LLMs) such as OpenAI’s GPT-4 and Google’s Gemini have made remarkable strides in the field of artificial intelligence (AI), particularly within healthcare. These sophisticated AI systems have demonstrated extraordinary capabilities in understanding and generating human language, enabling their rapid adoption in various medical contexts. From facilitating clinical decision-making to accelerating drug discov…

Report highlights LLM cybersecurity threats

The use of LLMs in radiology and healthcare as a whole is expanding, making it crucial to start understanding their potential vulnerabilities.