{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T01:35:40Z","timestamp":1760060140908,"version":"build-2065373602"},"reference-count":15,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2025,8,8]],"date-time":"2025-08-08T00:00:00Z","timestamp":1754611200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JPM"],"abstract":"<jats:p>Background\/Objectives: Radiology often presents communication challenges due to its technical complexity, particularly for patients, trainees, and non-specialist clinicians. This study aims to evaluate the effectiveness of RadioBot, an AI-powered chatbot developed on the Botpress platform, in enhancing radiological communication through natural language processing (NLP). Methods: RadioBot was designed to provide context-sensitive responses based on guidelines from the American College of Radiology (ACR) and the Radiological Society of North America (RSNA). It addresses queries related to imaging indications, contraindications, preparation, and post-procedural care. A structured evaluation was conducted with twelve participants\u2014patients, residents, and radiologists\u2014who assessed the chatbot using a standardized quality and satisfaction scale. Results: The chatbot received high satisfaction scores, particularly from patients (mean = 4.425) and residents (mean = 4.250), while radiologists provided more critical feedback (mean = 3.775). Users appreciated the system\u2019s clarity, accessibility, and its role in reducing informational bottlenecks. The perceived usefulness of the chatbot inversely correlated with the user\u2019s level of expertise, serving as an educational tool for novices and a time-saving reference for experts. Conclusions: RadioBot demonstrates strong potential in improving radiological communication and supporting clinical workflows, especially with patients where it plays an important role in personalized medicine by framing radiology data within each individual\u2019s cognitive and emotional context, which improves understanding and reduces associated diagnostic anxiety. Despite limitations such as occasional contextual incoherence and limited multimodal capabilities, the system effectively disseminates radiological knowledge. Future developments should focus on enhancing personalization based on user specialization and exploring alternative platforms to optimize performance and user experience.<\/jats:p>","DOI":"10.3390\/jpm15080363","type":"journal-article","created":{"date-parts":[[2025,8,8]],"date-time":"2025-08-08T11:41:53Z","timestamp":1754653313000},"page":"363","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Artificial Intelligence for Individualized Radiological Dialogue: The Impact of RadioBot on Precision-Driven Medical Practices"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4407-2631","authenticated-orcid":false,"given":"Amato","family":"Infante","sequence":"first","affiliation":[{"name":"Advanced Radiology Center (ARC), Department of Radiology and Oncological Radiotherapy, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-9814-9977","authenticated-orcid":false,"given":"Alessandro","family":"Perna","sequence":"additional","affiliation":[{"name":"Facolt\u00e0 di Medicina e Chirurgia, Universit\u00e0 Cattolica del Sacro Cuore, 00168 Rome, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9241-2392","authenticated-orcid":false,"given":"Sabrina","family":"Chiloiro","sequence":"additional","affiliation":[{"name":"Facolt\u00e0 di Medicina e Chirurgia, Universit\u00e0 Cattolica del Sacro Cuore, 00168 Rome, Italy"},{"name":"UOC Endocrinology and Diabetology, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Roma, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2196-1164","authenticated-orcid":false,"given":"Giammaria","family":"Marziali","sequence":"additional","affiliation":[{"name":"Advanced Radiology Center (ARC), Department of Radiology and Oncological Radiotherapy, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0801-0380","authenticated-orcid":false,"given":"Matia","family":"Martucci","sequence":"additional","affiliation":[{"name":"Advanced Radiology Center (ARC), Department of Radiology and Oncological Radiotherapy, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-0462-220X","authenticated-orcid":false,"given":"Luigi","family":"Demarchis","sequence":"additional","affiliation":[{"name":"Facolt\u00e0 di Medicina e Chirurgia, Universit\u00e0 Cattolica del Sacro Cuore, 00168 Rome, Italy"},{"name":"UOC Endocrinology and Diabetology, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Roma, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1104-3463","authenticated-orcid":false,"given":"Biagio","family":"Merlino","sequence":"additional","affiliation":[{"name":"Advanced Radiology Center (ARC), Department of Radiology and Oncological Radiotherapy, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy"},{"name":"Facolt\u00e0 di Medicina e Chirurgia, Universit\u00e0 Cattolica del Sacro Cuore, 00168 Rome, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7949-5119","authenticated-orcid":false,"given":"Luigi","family":"Natale","sequence":"additional","affiliation":[{"name":"Advanced Radiology Center (ARC), Department of Radiology and Oncological Radiotherapy, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy"},{"name":"Facolt\u00e0 di Medicina e Chirurgia, Universit\u00e0 Cattolica del Sacro Cuore, 00168 Rome, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1681-4343","authenticated-orcid":false,"given":"Simona","family":"Gaudino","sequence":"additional","affiliation":[{"name":"Advanced Radiology Center (ARC), Department of Radiology and Oncological Radiotherapy, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy"},{"name":"Facolt\u00e0 di Medicina e Chirurgia, Universit\u00e0 Cattolica del Sacro Cuore, 00168 Rome, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,8,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"807","DOI":"10.1002\/pros.24699","article-title":"Performance of large language models on benign prostatic hyperplasia frequently asked questions","volume":"84","author":"Zhang","year":"2024","journal-title":"Prostate"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"2167","DOI":"10.1007\/s00405-024-08464-9","article-title":"Is generative pre-trained transformer artificial intelligence (Chat-GPT) a reliable tool for guidelines synthesis? 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