AI adoption among French oncology pharmacists: A national survey.
Unknown authors
Sep 2026· Journal of Oncology Pharmacy Practice· pp.
10781552261485826
· 0 citations
Medicine
TL;DR
AI adoption among French oncology pharmacists is already extensive but almost entirely unregulated, creating a critical governance gap with direct patient safety implications, and the data reveal a pragmatic, specialty-specific demand for validated use-case libraries, integrated tools, and institutional governance frameworks.
Introduction Artificial intelligence (AI) is rapidly entering the field of medical oncology. Clinician literacy, ethical awareness, and governance structures are prerequisites for safe implementation, yet real-world data on adoption, training and ethical perceptions from small European healthcare systems remain scarce....
D. Kaddu-Mulindwa, Xian-Qing Mao, Caroline Duhem et al.· Frontiers in Digital Health· 0 citations
PURPOSE
Next-generation sequencing (NGS) integration has established Molecular Tumor Boards (MTBs) as the standard for personalized oncology care. However, specific nursing genomic competencies and clinical functions required remain poorly defined. This scoping review maps existing evidence to identify essential genomi...
F. Buono, Lorena Salvini, D. Cortinovis et al.· European Journal of Oncology...· 0 citations
This consensus is primarily intended for clinical application in China, emphasizes that physicians retain ultimate responsibility for diagnosis and treatment, and proposes a three-tier evaluation framework covering dimensions, methods, and indicators across five domains: accuracy and reliability, safety, clinical utili...
Unknown authors· Zhonghua yi xue za zhi· 0 citations
ABSTRACT Rationale, Aims and Objectives Artificial intelligence (AI) is increasingly integrated into oncology care, with oncology nurses playing a key role in patient education, communication, and trust in these technologies. Although artificial intelligence is increasingly integrated into healthcare, existing AI perce...
Dilek Yıldırım, Vildan Kocatepe, Sevda Tüzün Özdemir et al.· Journal of Evaluation In Cli...· 0 citations
Addressing physician readiness through structured educational programs, trust-building strategies, and clear regulatory frameworks is essential to ensure safe, sustainable, and effective integration of AI into Saudi healthcare systems.
Haneen Abu Alsoud, Abdulhameed Abu Alsoud, Abdulelah K. Alqawlaq et al.· Medicine· 0 citations
Background and Objectives: Artificial intelligence (AI) tools promise efficiency gains in oncology, yet adoption depends on economic factors that remain under-characterized in Eastern European health systems. We quantified AI economic literacy, cost-effectiveness perceptions, reimbursement readiness, and return-on-inve...
Dragoș-Ciprian Negoiță, L. Stânga, H. Branea et al.· Healthcare· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
