AI-powered insights in pediatric nephrology: current applications and future opportunities.

IF 2.6 3区 医学 Q1 PEDIATRICS
Arwa Nada, Yamen Ahmed, Jieji Hu, Darcy Weidemann, Gregory H Gorman, Eva Glenn Lecea, Ibrahim A Sandokji, Stephen Cha, Stella Shin, Salar Bani-Hani, Sai Sudha Mannemuddhu, Rebecca L Ruebner, Aadil Kakajiwala, Rupesh Raina, Roshan George, Rim Elchaki, Michael L Moritz
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引用次数: 0

Abstract

Artificial intelligence (AI) is rapidly emerging as a transformative force in pediatric nephrology, enabling improvements in diagnostic accuracy, therapeutic precision, and operational workflows. By integrating diverse datasets-including patient histories, genomics, imaging, and longitudinal clinical records-AI-driven tools can detect subtle kidney anomalies, predict acute kidney injury, and forecast disease progression. Deep learning models, for instance, have demonstrated the potential to enhance ultrasound interpretations, refine kidney biopsy assessments, and streamline pathology evaluations. Coupled with robust decision support systems, these innovations also optimize medication dosing and dialysis regimens, ultimately improving patient outcomes. AI-powered chatbots hold promise for improving patient engagement and adherence, while AI-assisted documentation solutions offer relief from administrative burdens, mitigating physician burnout. However, ethical and practical challenges remain. Healthcare professionals must receive adequate training to harness AI's capabilities, ensuring that such technologies bolster rather than erode the vital doctor-patient relationship. Safeguarding data privacy, minimizing algorithmic bias, and establishing standardized regulatory frameworks are critical for safe deployment. Beyond clinical care, AI can accelerate pediatric nephrology research by identifying biomarkers, enabling more precise patient recruitment, and uncovering novel therapeutic targets. As these tools evolve, interdisciplinary collaborations and ongoing oversight will be key to integrating AI responsibly. Harnessing AI's vast potential could revolutionize pediatric nephrology, championing a future of individualized, proactive, and empathetic care for children with kidney diseases. Through strategic collaboration and transparent development, these advanced technologies promise to minimize disparities, foster innovation, and sustain compassionate patient-centered care, shaping a new horizon in pediatric nephrology research and practice.

儿童肾脏病学中的人工智能洞察:当前应用和未来机遇。
人工智能(AI)正在迅速成为儿科肾脏病学的变革力量,使诊断准确性、治疗精度和操作工作流程得以提高。通过整合不同的数据集,包括患者病史、基因组学、成像和纵向临床记录,人工智能驱动的工具可以检测细微的肾脏异常,预测急性肾损伤,并预测疾病进展。例如,深度学习模型已经证明了增强超声解释、改进肾脏活检评估和简化病理评估的潜力。再加上强大的决策支持系统,这些创新还优化了药物剂量和透析方案,最终改善了患者的预后。人工智能聊天机器人有望提高患者的参与度和依从性,而人工智能辅助的文档解决方案可以减轻行政负担,减轻医生的职业倦怠。然而,伦理和实践方面的挑战依然存在。医疗保健专业人员必须接受充分的培训,以利用人工智能的能力,确保这些技术加强而不是削弱至关重要的医患关系。保护数据隐私、最小化算法偏差和建立标准化监管框架对于安全部署至关重要。除了临床护理,人工智能还可以通过识别生物标志物、更精确地招募患者和发现新的治疗靶点来加速儿科肾脏病学研究。随着这些工具的发展,跨学科合作和持续监督将是负责任地整合人工智能的关键。利用人工智能的巨大潜力可以彻底改变儿科肾脏病学,为患有肾脏疾病的儿童提供个性化、主动和移情护理的未来。通过战略合作和透明的发展,这些先进的技术有望最大限度地减少差异,促进创新,并维持富有同情心的以患者为中心的护理,为儿科肾脏病学的研究和实践塑造新的视野。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Pediatric Nephrology
Pediatric Nephrology 医学-泌尿学与肾脏学
CiteScore
4.70
自引率
20.00%
发文量
465
审稿时长
1 months
期刊介绍: International Pediatric Nephrology Association Pediatric Nephrology publishes original clinical research related to acute and chronic diseases that affect renal function, blood pressure, and fluid and electrolyte disorders in children. Studies may involve medical, surgical, nutritional, physiologic, biochemical, genetic, pathologic or immunologic aspects of disease, imaging techniques or consequences of acute or chronic kidney disease. There are 12 issues per year that contain Editorial Commentaries, Reviews, Educational Reviews, Original Articles, Brief Reports, Rapid Communications, Clinical Quizzes, and Letters to the Editors.
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