Search Tag: Patient privacy
2025 28 Oct
Reusing clinical data can improve personalised care, support earlier diagnosis and deepen understanding of disease. Turning that into routine practice is hard. A Belgian glioblastoma initiative, TumorScope, set out to build a secure data environment linking MRI and PET-CT, tissue samples, genomic profiles and electronic health records. Over f1Read more
2025 28 Oct
Reusing clinical data can improve personalised care, support earlier diagnosis and deepen understanding of disease. Turning that into routine practice is hard. A Belgian glioblastoma initiative, TumorScope, set out to build a secure data environment linking MRI and PET-CT, tissue samples, genomic profiles and electronic health records. Over f1Read more
2025 09 Sep
Generative artificial intelligence has become a major force in medical imaging, with capabilities extending far beyond traditional diagnostic support. By creating synthetic datasets that mirror real-world medical images, these models offer new ways to expand research resources, enhance clinical training and facilitate collaboration while pres1Read more
2025 09 Sep
Generative artificial intelligence has become a major force in medical imaging, with capabilities extending far beyond traditional diagnostic support. By creating synthetic datasets that mirror real-world medical images, these models offer new ways to expand research resources, enhance clinical training and facilitate collaboration while pres1Read more
2025 09 Sep
Generative artificial intelligence has become a major force in medical imaging, with capabilities extending far beyond traditional diagnostic support. By creating synthetic datasets that mirror real-world medical images, these models offer new ways to expand research resources, enhance clinical training and facilitate collaboration while pres1Read more
2025 12 Aug
Health systems face a dual challenge: the need to extract meaningful insights from data and the responsibility to safeguard patient privacy. Synthetic data offers a promising solution by combining analytical utility with robust privacy protection. This artificial data mirrors the statistical patterns of real-world datasets, enabling healthcar1Read more
2025 17 May
The introduction of large language models (LLMs) and multimodal LLMs (MLLMs) into health care offers considerable promise—from enhancing diagnostic precision to simplifying communication. However, these capabilities come with a new set of cybersecurity threats that must be actively managed. Unlike traditional software, LLMs are trained on mas1Read more
2025 10 Jan
The secure exchange of sensitive patient data has become a top priority for healthcare organisations, especially with increasing requirements for interoperability and recent high-profile data breaches. Expanding data sharing, such as granting payers direct access to electronic health records (EHRs), offers operational benefits but also introd1Read more
2024 28 Oct
The rapid digitisation of healthcare and the integration of electronic health records (EHRs) have brought data to the forefront of healthcare analytics. Organisations striving for value-based care increasingly rely on data to make informed decisions, enhance patient outcomes and drive research. However, choosing the right type of data for ana1Read more
2024 20 Oct
The increasing use of medical imaging in modern healthcare, particularly for diagnosing conditions such as vascular malformations and acute ischemic strokes, has brought forth the critical issue of patient data privacy. Computed tomography angiography (CTA) is a vital tool for diagnosing vascular issues, but its detailed facial features in hea1Read more
2024 19 Mar
In the era of digital transformation, cloud data storage has emerged as a vital tool for efficiently managing sensitive patient information in the healthcare sector. However, this convenience comes with a pressing need for stringent security measures to safeguard against unauthorised access and potential breaches. This article explores the com1Read more
2024 19 Mar
In the era of digital transformation, cloud data storage has emerged as a vital tool for efficiently managing sensitive patient information in the healthcare sector. However, this convenience comes with a pressing need for stringent security measures to safeguard against unauthorised access and potential breaches. This article explores the com1Read more