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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

C. Ruckes

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Open access Sep 2026

Efficacy of the peer-led ''Honest, Open, Proud'' group program to improve stigma stress and quality of life in adolescents with mental illness: randomized controlled trial.

Adolescents with mental illness (MI) often experience public stigma and self-stigma and struggle with the dilemma whether to disclose their MI, which may reduce their quality of life (QoL). Disclosure decisions are central in coping with MI and stigma, as disclosure may improve well-being and facilitate help-seeking, b...

Jana Hörger, Julia Wöhrle, V. Clemens et al. · 0 citations
Open access Aug 2026

Pacemaker-implantation and atrioventricular-node ablation vs pulmonary vein isolation for elderly patients with persistent atrial fibrillation: the ABLATE versus PACE trial.

BACKGROUND AND AIMS Population aging is increasing atrial fibrillation (AF) prevalence. In elderly patients with persistent AF, pulmonary-vein isolation (PVI) has limited success, but is widely used. Pacemaker-implantation with atrioventricular-node ablation (PM+AVNA) provides effective symptom control, but the relativ...

A. Boehmer, Lars Eckardt, M. Rothe et al. · 0 citations
Open access Aug 2026

Augmenting Head and Neck Multidisciplinary Tumor Board Recommendations With Locally Run Large Language Models: Prospective Evaluation of Real-World Implementation

The data demonstrate that the integration of LLMs in today’s MDT workflow is feasible and may benefit the quality of decision-making in specific cases, and suggests that more advanced local models may offer safe, rapid, and cost-effective support for MDT decision-making.

C. Buhr, L. Müller, D. Pinto dos Santos et al. · 0 citations
Review Open access Jul 2026

Patients' perception towards large language models in otorhinolaryngology, head and neck surgery: a single-centre survey

OrL-HNS patients are largely familiar with LLMs and frequently use them, but their trust and confidence regarding health information provided by LLMs alone is limited, suggesting that clinician-led LLM use may be acceptable to many patients.

C. Buhr, A. Blaikie, Harry Smith et al. · 0 citations

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