Researchers at the National Institutes of Health (NIH) have introduced TrialGPT, an AI tool aimed at improving the matching of volunteers to clinical trials by analyzing patient summaries for relevant medical and demographic information. With performance comparable to human clinicians, TrialGPT generates a ranked list of suitable clinical trials, allowing clinicians to efficiently discuss options with patients and explain enrollment criteria. In a study, clinicians using the tool were found to spend 40% less time on patient screenings without sacrificing accuracy. This development reflects a growing trend of leveraging AI in clinical trial recruitment, particularly to enhance health equity and trial diversity amid challenges exacerbated by the COVID-19 pandemic.

AI Tool TrialGPT Revolutionizes Clinical Trial Recruitment Efficiency Healthcare IT News

In his address at the Radiological Society of North America's 110th Scientific Assembly, President Curtis P. Langlotz, MD, PhD, discussed the key components needed to advance artificial intelligence (AI) in medical imaging, including: eliminating the use of discs, promoting interoperability between systems, enhancing radiologist training in AI technologies, fostering collaboration among healthcare teams, and advocating for clear regulatory frameworks governing AI in radiology. By adopting these strategies, Langlotz believes the integration of AI in medical imaging can lead to improved patient outcomes and more efficient radiological practices.

Radiology Leader Outlines Six Strategies for an AI-Enhanced Future Radiology Business

In 2024, spending on generative AI by enterprises has surged to $13.8 billion, marking a substantial shift from experimentation to execution, with 72% of decision-makers anticipating broader adoption of the technology. Despite this optimism, over a third of leaders lack a clear strategy for implementation. Funding trends show that 60% of investments are sourced from innovation budgets, with 40% from permanent budgets, indicating a long-term commitment to AI transformation. The demand for applications has risen dramatically, with $4.6 billion allocated for generative AI applications, as organizations explore an average of ten use cases, including code generation and support chatbots, for immediate deployment and tangible returns.

Generative AI Spending Soars to $13.8 Billion as Enterprises Embrace Transformation Menlo VC

The Veterans Health Administration (VHA) has reported a cybersecurity breach that may have compromised the protected health information of over 2,000 veterans, related to files managed by contracted vendor DBP, Inc. Although medical records within the VA's electronic health system were not affected, sensitive documents, including full names and social security numbers, were found to be vulnerable. In response, the VHA has investigated the incident, shut down the affected server, and implemented new security measures. Affected veterans will receive a Privacy Notification Letter detailing the potential exposure of their data and outlining the steps being taken to address the breach.

VHA Alerts 2,000 Veterans of Cybersecurity Breach Impacting Personal Data KTTC