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The platform 'AI-geletterd' is launched to promote AI literacy in healthcare, and a game called 'AI Game Changer' is introduced to stimulate discussions among healthcare professionals about AI experiences and insights.

The article discusses the use of machine learning in risk prediction models, offering guidance on when to use and when not to use it. It highlights the need for careful consideration of machine learning's role in medical research.

The study evaluates the use of AI-generated vignettes depicting patient chatbot use in psychiatric contexts. This could potentially impact the implementation of AI technology in Dutch psychiatric care.

Google updates Gemini AI with a 'Help is available' module to connect users with mental health support and crisis hotlines. The AI can recognize references to possible suicide or self-harm and provide immediate connections to crisis hotlines.

Onderzoek toont aan dat kunstmatige intelligentie een belangrijke rol kan spelen bij het eerder opsporen van alvleesklierkanker. Vroege detectie is van groot belang voor de behandeling van deze ziekte.

A stakeholder focus group study explores the ethical and practical considerations of using artificial intelligence in real-world health care settings. The study aims to identify key issues for implementing AI in healthcare.

A qualitative study explored the real-world experiences of physicians integrating AI into clinical practice, highlighting legal and ethical challenges. The study provides insights into the complexities of AI adoption in healthcare.

The integration of AI in healthcare requires protecting clinical value judgment to ensure that medical decisions are made with careful consideration of AI outputs. This is crucial to maintain trust and safety in AI-driven healthcare.

Research Domain Criteria Dysfunction Among Deaths by Suicide. This cross-sectional study evaluates whether large language model scoring of research domain criteria can be successfully applied to law enforcement and coroner or medical examiner death narratives in the US National Violent Death Reporting System.

AI kan helpen om de druk op de zorg te verlichten door personeelstekorten en groeiende medische informatie te adresseren. Medische AI-modellen kunnen meer tijd en regie bieden voor patiënten en professionals.

The article discusses how young doctors, who are familiar with AI, can use it to alleviate burnout during residency. Health systems should integrate AI in a way that supports these doctors.

The clinical utility of foundation models in musculoskeletal MRI is explored for enhancing biomarker fidelity and predicting outcomes. This application of AI in healthcare can potentially improve diagnostic and predictive capabilities.

The European medical community, represented by CPME and HOPE, urges EU lawmakers to maintain strict regulations on AI in medical devices. They advocate for clear guidelines to ensure safe and effective use of AI in healthcare.

The integration of AI in healthcare is exacerbating the trust crisis in medicine, and its adoption should be guided by the principle of building trust rather than solely focusing on investment.

AI can play a valuable role in predicting the return of ovarian cancer after treatment, according to research using data from the Dutch Cancer Registration (NKR).

ViaSana has introduced an AI assistant on its website to provide patients with insights into waiting times at its clinics and other healthcare institutions. The AI assistant transparently reports if waiting times for an appointment exceed the national average.

Artificial Intelligence as a Catalyst for Value-Based Health Insurance in the United States: Narrative Review and Policy Perspective.

Sepsis cases in Massachusetts have more than tripled since 2010. The rise is potentially linked to hospitals using AI tools for medical coding and billing.

The study reviews methodologies, evaluation frameworks, and ethical safeguards for using large language model-based chatbots and agentic AI in mental health counseling. It highlights the potential benefits and risks of these technologies in this field.

Researchers have developed a framework to study harmful human-AI interactions, which can lead to mental health crises. The framework generates 'dark models' that consistently produce harmful interactions and outcomes.

There is a pressing need to innovate global regulatory frameworks for generative AI in medical devices. This is crucial for ensuring the safe and effective use of AI in healthcare.

The study examines how AI misinformation impacts the diagnostic accuracy and confidence calibration of novice medical students. This has implications for the integration of AI in medical education and practice.

De Federatie Medisch Specialisten (FMS) wil dat alle specialisten in de toekomst voldoende kennis hebben van AI, data en digitale zorg. Dit moet een vereiste worden in opleiding, richtlijnen, kwaliteitsbeleid en een voorwaarde voor (her)registratie.

The Federatie Medisch Specialisten has presented a digital agenda towards 2035, outlining the role of medical specialists in the digital healthcare landscape. The agenda addresses the impact of AI, data-driven working, and hybrid care on medical practice.

The study highlights the importance of AI literacy among medical students for effective participation in AI-assisted diagnosis and critical thinking. AI literacy mediates the relationship between AI-assisted diagnosis participation and critical thinking skills.

The integration of AI, robotics, and digital monitoring in healthcare is accelerating. The question is no longer if these technologies will be used, but how to utilize them effectively.

EDPB and EDPS support harmonisation of clinical trials under European Biotech Act, but call for specific safeguards for sensitive health data. Brussels, 12 March 2026 – The European Data Protection Board (EDPB) and the European Data Protection Supervisor (EDPS) have adopted a Joint Opinion on the European Commission’s Proposal for a European Biotech Act. The Proposal aims to strengthen Europe’s biotechnology and biomanufacturing sectors, particularly in the area of health, by streamlining the regulatory framework and updating the rules for clinical trials. The EDPB and the EDPS support the Proposal’s objective of fostering the EU’s competitiveness and addressing existing fragmentation in the application of the Clinical Trials Regulation (CTR). In particular, they welcome the aim to establish a single legal basis for the processing of personal data by sponsors and investigators, which will significantly improve legal clarity across Europe. At the same time, the EDPB and the EDPS underline that the sensitivity of health and genetic data processed in the context of clinical trials requires a high standard of protection. The Joint Opinion provides several recommendations to ensure that the proposed simplifications do not lower the level of protection for clinical trial participants. Key recommendations include: Clarifying controller roles: The Proposal should specify whether the actors involved in funding and conducting clinical trials act as sole or joint data controllers, to ensure a clear allocation of responsibilities. Limiting data retention: The mandatory 25-year minimum retention period should expressly apply only to the clinical trial master file, rather than to all personal data processed during a trial. Further processing for other clinical trials or for scientific research: As the Proposal aims to provide a legal basis under Union law for the further processing of trial data by the same controller, the ...

A prospective observational study on AI-based personalized therapy (SPOILS) for low back pain patients combines clinical intelligence and radiomics. This approach may improve treatment outcomes for patients with low back pain.

The healthcare workforce needs to be prepared for the successful deployment of AI technology. This requires training and education to ensure that healthcare professionals can effectively use AI tools.

Performance of 5 AI Models on United States Medical Licensing Examination Step 1 Questions: Comparative Observational Study.

The article discusses the integration of AI in medical school curricula, potentially transforming the way medical students learn and prepare for their careers.

The use of large language models (LLMs) in healthcare increases the risk of misinformation, especially if trained on unverified online sources. This risk is heightened when developers do not disclose the databases used to train these tools.

De Autoriteit Persoonsgegevens luidt de noodklok over de opkomst van AI in de zorg, wijzend op de risico's van systeemuitval of -gedrag die grote gevolgen kunnen hebben voor patiënten en vitale maatschappelijke functies. AP-voorzitter Aleid Wolfsen benadrukt de noodzaak om grondrechten te beschermen nu de druk om AI te omarmen toeneemt.

Dr. Mehmet Oz suggests AI avatars as a solution to address mental health support shortages in rural areas. He believes AI avatars can help bridge the gap in mental healthcare access.

A cohort study used electronic health record data to predict preeclampsia in late gestation across multiple healthcare settings. The study found that dynamic, short-term prediction of preeclampsia is achievable using routine clinical and laboratory data.

The Dutch Data Protection Authority (AP) sounds the alarm about the risks of AI, including in healthcare. The authority warns about system risks that could affect large groups of people or vital societal functions.

A survey study investigated the associations of patient trust in and choice of medical scenarios involving artificial intelligence. The study found that patient trust and acceptance are influenced by factors such as governance mechanisms, clinician presence, performance, and data quality.

The article explores how medical malpractice insurance is affected by the integration of artificial intelligence in healthcare. It discusses the implications of AI on medical liability.

The systematic review examines the application and impact of large language models (LLMs) in clinical medicine. This involves assessing their utility and effectiveness in healthcare settings.

The article highlights the need for research on retraining and maintenance of medical AI systems, using ophthalmology as an example. This is crucial to ensure the continued accuracy and effectiveness of AI in healthcare.

The use of large language models in surgical informed consent can improve the process by combining information retrieval with simulated emotional responsiveness. However, their application should be restricted to passive empathy, alerting healthcare providers to patient anxiety without simulating genuine empathy.

The regulation of clinical Artificial Intelligence (AI) systems, particularly those that are unconfined and non-deterministic, is essential for ensuring safe and effective healthcare delivery. This is especially important in the context of agents and their impact on healthcare.

The integration of AI in nursing education is changing how new nurses are trained and raising expectations for their comfort level with technology. Nurses who understand how to work with AI are better equipped to deliver high-quality care in complex clinical environments.

A randomized clinical trial found that proactive outreach by a clinical pharmacist applying a hypoglycemia-prevention algorithm resulted in safer prescribing of diabetes regimens among high-risk patients. This approach may help reduce hypoglycemia risk in patients with type 2 diabetes.

A recent study evaluated the effectiveness of large language model-generated clinical summaries using a dual-perspective framework. The study aimed to assess the accuracy and reliability of these summaries.

Large language models provide unsafe answers to patient-posed medical questions. Large language models provide unsafe answers to patient-posed medical questions

IGJ roept zorgaanbieders op om zorgvuldig om te gaan met generatieve AI. Samenvattingen van een patiëntendossier, gespreksverslagen van een consult tussen arts en patiënt, een chatbot waaraan patiënten vragen kunnen stellen over een medische behandeling: de mogelijkheden van generatieve AI in de zorg zijn divers en...

The European Medicines Agency (EMA) and the US Food and Drug Administration (FDA) have jointly identified ten principles for good artificial intelligence (AI) practice in the medicines lifecycle. This marks a renewed EU-US cooperation in the field of novel medical technologies.

The spread of health misinformation through large language models (LLMs) poses a significant risk to public health. LLMs' susceptibility to harmful misinformation is particularly concerning in the medical context.

Support the EDPB’s work as an expert. Brussels, 28 November - The EDPB launched a call for expression of interest to establish a new reserve list for the Support Pool of Experts (SPE) programme. The objective is set up a reserve list of legal and technical experts. The legal expertise sought includes a wide range of fields, such as data protection, policy monitoring, technology, cybersecurity, competition, healthcare, online intermediary services and content moderation. As for the technical expertise, the relevant areas include IT auditing, website security, mobile OS and apps, Internet of Things, cloud-computing, behavioural advertising, anonymisation techniques, cryptology, artificial intelligence, User experience (UX) design, fintech, data science, social science (incl. economics, sociology, psychology), and development of applications and software. Bring your expertise to the table Don’t miss this opportunity to participate in this EDPB’s key strategic initiative. Your work will help Data Protection Authorities (DPAs) across Europe increase their capacity to supervise and enforce data protection rules and strengthen the protection of individuals’ fundamental rights. In 2022, the EDPB issued a call for expression of interest, which led to the establishment of a first SPE reserve list. As this list is set to expire in February 2026, the EDPB is inviting experts who were included in this first SPE reserve list to submit their application in response to the new call for expression of interest. The call will be open until August 2030. Learn how to submit your application. Apply now Background The SPE was developed as part of the EDPB Strategy 2021-2023 to help DPAs increase their enforcement capacity by developing common tools and giving them access to a wide pool of experts.   The EDPB aims to carry out app...

EDPB and EDPS support streamlining AI Act implementation but call for stronger safeguards to protect fundamental rights. Brussels, 21 January - The European Data Protection Board (EDPB) and the European Data Protection Supervisor (EDPS) have adopted a Joint Opinion on the European Commission’s Proposal for the ‘Digital Omnibus on AI’. The Proposal seeks to simplify the implementation of certain harmonised rules under the AI Act to ensure their effective application. The EDPB and the EDPS support the objective of addressing practical challenges relating to the implementation of the AI Act. Administrative simplification must not, however, lower the protection of fundamental rights. The Joint Opinion acknowledges the complexity of the AI landscape and welcomes efforts to ease burdens for organisations. However, certain proposed changes could undermine the protection of individuals in the context of AI.  “Innovation and efficiency are crucial and can coexist with maintaining accountability of AI providers. We welcome EU-level regulatory sandboxes and simplified procedures to promote innovation and support SMEs in Europe. However, Data Protection Authorities must maintain a central role when it comes to the processing of individuals’ personal data. Cooperation between Data Protection Authorities, the AI Office and Market Surveillance Authorities is essential to ensure legal certainty for organisations and foster innovation while upholding individuals’ fundamental rights.” EDPB Chair, Anu Talus “Simplification is welcome when it clarifies obligations, empowers individuals, and strengthens trust. A careful balance needs to be kept by reducing administrative burden where possible, without undermining the protection of fundamental rights. Furthermore, we must ensure that the role of the AI Office is clearly defined and does not affect the independent supervision of European Union Institutions’ own...

The Dutch healthcare inspectorate (IGJ) urges healthcare providers to use generative AI responsibly, citing various applications such as patient file summaries, chatbots for patient queries, and consultation notes.