Innovation, Sustainability and Human-Centered Radiology: New Paradigms for Clinical Practice

Radiology is rapidly evolving through the integration of artificial intelligence, quantitative imaging, radiomics, and advanced ultrasound and hybrid imaging techniques. These innovations are reshaping diagnostic pathways by enabling earlier detection, refined risk stratification, and more accurate therapeutic planning. At the same time, healthcare systems face increasing pressure to ensure sustainability, reduce unnecessary examinations, and optimize resource use. Radiology contributes significantly to energy consumption, equipment turnover, and workflow complexity, making it a strategic area for sustainable innovation. Within the framework of Precision Medicine, imaging is becoming a central tool for integrating clinical, biological, and digital data. This transformation requires new competencies, ethical oversight, and organizational models that preserve the radiologist’s interpretative role while enhancing patient-centered care.The goal of this Research Topic is to define how radiology can become simultaneously innovative, sustainable, and human-centered within Precision Medicine. Despite the availability of advanced tools—AI-based triage systems, automated segmentation, radiomics signatures, contrast‑enhanced ultrasound, photon-counting CT—clinical implementation remains uneven. Challenges include limited interoperability, lack of standardized validation, regulatory uncertainty, and the risk of over-reliance on automated outputs. These issues may compromise diagnostic accuracy, professional identity, and patient trust.This Research Topic aims to gather evidence on:How AI and quantitative imaging can improve reproducibility and reduce variability;How sustainable practices (e.g., appropriateness algorithms, low‑dose protocols, equipment life-cycle optimization) can reduce environmental and economic impact;How human-centered models—shared decision-making, communication strategies, patient‑reported outcomes—can ensure that innovation translates into real clinical value.The overarching objective is to propose actionable paradigms that strengthen radiology’s role in Precision Medicine while safeguarding ethical and professional integrity. This Research Topic invites contributions that address specific, concrete themes at the intersection of innovation, sustainability, and human-centered radiology. Examples include:AI tools for lesion detection, triage, structured reporting, or workflow optimization;radiomics and quantitative imaging biomarkers for oncology, cardiology, or neurodegeneration;sustainable imaging strategies such as low‑dose CT, contrast stewardship, appropriateness criteria, or circular management of imaging equipment; patient-centered approaches, including communication models, shared decision-making, and integration of imaging into multidisciplinary care; training models for radiologists and residents in AI literacy, ethics, and new competencies.We welcome different article types: such as original research, reviews, mini‑reviews, perspectives, case reports, methodological papers. Submissions should clearly articulate how their findings contribute to Precision Medicine and how they support a radiology practice that is technologically advanced, sustainable, and aligned with patient needs. Topic editors: Graziella Di Grezia, Mariano SCAGLIONE, Giacomo Sica Source: https://www.frontiersin.org/research-topics/77621/innovation-sustainability-and-human-centered-radiology-new-paradigms-for-clinical-practice