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Gabriella Pravettoni

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Review Open access Oct 2026

Toward personalized shared decision-making: a pilot study on an individualized patient decision aid.

Decision aids are tools that can reduce decisional conflict and enhance patient satisfaction in the decision-making process. However, tool heterogeneity and clinical barriers, such as physician time constraints, hinder their implementation. This study introduces an individualized patient decision aid, developed within...

V. Sebri, Giovanni Pastori, L. Provenzano et al. · 0 citations
Review Open access Oct 2026

Digital health interventions for psychological and cognitive care in cancer patients and caregivers: A RE‐AIM‐based systematic review

Abstract Beyond physical challenges, cancer can cause psychological and cognitive challenges for patients, caregivers, and family members. Digital health interventions show promise in addressing these issues. However, evidence on their applicability in daily cancer care is limited. The objective of this systematic revi...

M. Heifez, Laura Ciria-Suarez, S. Martín-Parra et al. · 0 citations
Open access Oct 2026

From Clinical Reality to Blueprint Designing: A Qualitative Study Exploring Communication Challenges and Unmet Needs for Patient Decision Aid Development in Early‐Stage Breast Cancer

ABSTRACT Introduction A diagnosis of early‐stage Breast Cancer (BC) induces significant psychological distress in patients, who are then required to make complex treatment decisions. Evidence‐based tools like Patient Decision Aids (PDAs) have been proposed as tools to support communication and Shared Decision‐Making (S...

S. Sdinami, Martina Maialetti, V. Sebri et al. · 0 citations
Review Open access Aug 2026

Impact of Decision Aids for Shared Decision-Making for Patients with Early Stage Breast Cancer: A Systematic Review

Overall, Patient Decision Aids were associated with better knowledge, less decisional conflict and greater satisfaction with the decision-making process, and some studies also suggested benefits for women with lower health literacy or socioeconomic status, especially when the aids used pictures or simple language.

S. Sdinami, L. Conti, B. Capetti et al. · 0 citations
#artificial intelligence Open access Sep 2026

Clinical usability of an explainable AI decision support tool and evaluation of multimodal models in NSCLC

In a large international real-world study of non-small cell lung cancer, a multimodal explainable AI model outperformed established biomarkers for immunotherapy outcome prediction and improved physician decision-making.

A. Prelaj, V. Mišković, Matteo Sacco et al. · 1 citation

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