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Challenges in Imaging Pulmonary Nodules: Differentiating Benign from Malignant Lesions 肺结节成像的挑战:鉴别良恶性病变
IF 1.3 4区 医学 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-10-01 DOI: 10.1053/j.ro.2025.04.002
Samuel R. Friedlander, Rocio Perez-Johnston, Markus Y. Wu
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引用次数: 0
Oligometastatic and Oligoprogressive Disease in Lung Cancer: Concepts for Radiologists 肺癌的少转移和少进展疾病:放射科医生的概念
IF 1.3 4区 医学 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-10-01 DOI: 10.1053/j.ro.2025.04.007
Palmi Shah, Ramya S. Gaddikeri, Maham Jehangir, Kaitlin M. Robling, Mohamed Z. Hussein
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引用次数: 0
Ethical, Regulatory, and Practical Challenges in Artificial Intelligence-Driven Chest Imaging 人工智能驱动的胸部成像中的伦理、监管和实践挑战
IF 1.3 4区 医学 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-10-01 DOI: 10.1053/j.ro.2025.06.003
Juliana Barreto Caldas de Lima , Ian Griffin , Jessica Shapiro Gemmell , Kayla Davis , Udochukwu Amanamba , Navid Asadi Zanjani , Mohammad Reza Hosseini Siyanaki , Tan-Lucien Mohammed , Takis Benos , Rosana Souza Rodrigues , Diana Gomez Manjarres , Arezou Sobhani , Bruno Hochhegger
Artificial intelligence (AI) enhances the practice of chest imaging by improving diagnostic accuracy, streamlining workflows, and facilitating personalized patient care. As a powerful tool, AI augments the expertise of radiologists, enabling more precise evaluations and quicker decision-making. This article examines the barriers to AI adoption in chest imaging, focusing on challenges related to bias, transparency, accountability, and data privacy. We discuss the ethical implications of AI-driven decision-making, particularly concerning fairness, and propose strategies to address these concerns. Additionally, we explore regulatory obstacles, including the approval pathways for AI algorithms and the need for continuous learning and adaptability in clinical settings. We also address practical considerations, such as the integration of AI tools into existing workflows, model generalizability, and economic factors. The article concludes with recommendations for responsible AI adoption, emphasizing the importance of interdisciplinary collaboration, robust validation frameworks, and continuous education for radiologists. By navigating these challenges, the radiology community can effectively leverage AI’s potential, ultimately leading to enhanced patient outcomes and improved diagnostic processes.
人工智能(AI)通过提高诊断准确性、简化工作流程和促进个性化患者护理来增强胸部成像的实践。作为一种强大的工具,人工智能增强了放射科医生的专业知识,实现了更精确的评估和更快的决策。本文探讨了人工智能在胸部成像中应用的障碍,重点关注与偏见、透明度、问责制和数据隐私相关的挑战。我们讨论了人工智能驱动的决策的伦理含义,特别是关于公平性,并提出了解决这些问题的策略。此外,我们还探讨了监管障碍,包括人工智能算法的批准途径以及临床环境中持续学习和适应性的需求。我们还讨论了实际的考虑,例如将人工智能工具集成到现有的工作流程中,模型的可泛化性,以及经济因素。文章最后对负责任的人工智能采用提出了建议,强调了跨学科合作、强大的验证框架和放射科医生持续教育的重要性。通过应对这些挑战,放射界可以有效地利用人工智能的潜力,最终提高患者的治疗效果,改善诊断过程。
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引用次数: 0
Letter from the Guest Editor: State of the art and future trends in thoracic oncologic Imaging 客座编辑的来信:胸部肿瘤成像技术的现状和未来趋势
IF 1.3 4区 医学 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-10-01 DOI: 10.1053/j.ro.2025.04.008
Tan Lucien Mohammed
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引用次数: 0
Quantitative Imaging Biomarkers in Lung Cancer: Current Trends and Future Directions 肺癌定量成像生物标志物:当前趋势和未来方向
IF 1.3 4区 医学 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-10-01 DOI: 10.1053/j.ro.2025.06.002
Joice Prodigios , Ronak Kundalia , Amanda Acevedo , Jean Bontemps , David Pfaehler , Md Mahfuz Al Hasan , Kyle B. See , Nupur Verma , Daniela Hochhegger , Alysson Roncally Silva Carvalho , Tan-Lucien Mohammed , Bruno Hochhegger
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引用次数: 0
Low-dose CT for Lung Cancer Screening: Updates and Clinical Impact 低剂量CT筛查肺癌:最新进展和临床影响
IF 1.3 4区 医学 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-10-01 DOI: 10.1053/j.ro.2025.05.002
Nupur Verma , Matheus Zanon , Giovanni Torri , Bruno Hochhegger
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引用次数: 0
Advances in Radionuclide Imaging With SPECT/CT 放射性核素SPECT/CT成像研究进展
IF 0.8 4区 医学 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-07-01 DOI: 10.1053/j.ro.2025.02.006
Daniel J. Wale
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引用次数: 0
PET Beyond FDG: New Era of Oncologic Molecular Targets Using Positron-Emitting Radiotracers PET超越FDG:使用正电子放射示踪剂的肿瘤分子靶标的新时代
IF 0.8 4区 医学 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-07-01 DOI: 10.1053/j.ro.2025.02.003
Alex Heglin, Bradley Girod, Asha Kandathil
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引用次数: 0
Case of the Season: 177Lu-DOTATATE Peptide Receptor Radiotherapy With Acute Dialysis Support in a Patient With Chronic Kidney Disease (CKD) 季节性病例:177Lu-DOTATATE肽受体放射治疗慢性肾病(CKD)患者急性透析支持
IF 0.8 4区 医学 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-07-01 DOI: 10.1053/j.ro.2025.03.001
Kellen J. Fitzpatrick MS, Margherita Vicari NP, Jeremy Niedbala CNMT, Kirk A. Frey MD, PhD, Yuni Dewaraja PhD, Ka Kit Wong MBBS
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引用次数: 0
Nuclear Medicine Advances: A New Era in Precision Medicine 核医学进展:精准医学的新时代
IF 0.8 4区 医学 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-07-01 DOI: 10.1053/j.ro.2025.04.003
Prachi Agarwal MD, MS, FNASCI
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引用次数: 0
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