Artificial Intelligence in Pediatrics: Learning to Walk Together.

IF 1.3 Q3 PEDIATRICS
Kaan Can Demirbaş, Mehmet Yıldız, Seha Saygılı, Nur Canpolat, Özgür Kasapçopur
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Abstract

In this era of rapidly advancing technology, artificial intelligence (AI) has emerged as a transformative force, even being called the Fourth Industrial Revolution, along with gene editing and robotics. While it has undoubtedly become an increasingly important part of our daily lives, it must be recognized that it is not an additional tool, but rather a complex concept that poses a variety of challenges. AI, with considerable potential, has found its place in both medical care and clinical research. Within the vast field of pediatrics, it stands out as a particularly promising advancement. As pediatricians, we are indeed witnessing the impactful integration of AI-based applications into our daily clinical practice and research efforts. These tools are being used for simple to more complex tasks such as diagnosing clinically challenging conditions, predicting disease outcomes, creating treatment plans, educating both patients and healthcare professionals, and generating accurate medical records or scientific papers. In conclusion, the multifaceted applications of AI in pediatrics will increase efficiency and improve the quality of healthcare and research. However, there are certain risks and threats accompanying this advancement including the biases that may contribute to health disparities and, inaccuracies. Therefore, it is crucial to recognize and address the technical, ethical, and legal challenges as well as explore the benefits in both clinical and research fields.

儿科人工智能:学会携手同行
在这个科技飞速发展的时代,人工智能(AI)已成为一股变革力量,甚至与基因编辑和机器人技术并称为第四次工业革命。毫无疑问,人工智能已成为我们日常生活中越来越重要的一部分,但我们必须认识到,人工智能并不是一个额外的工具,而是一个复杂的概念,它带来了各种挑战。人工智能潜力巨大,已在医疗保健和临床研究领域占据一席之地。在广阔的儿科领域,人工智能的发展前景尤为广阔。作为儿科医生,我们确实见证了人工智能应用对我们日常临床实践和研究工作的影响。这些工具被用于从简单到更复杂的任务,如诊断具有临床挑战性的病症、预测疾病结果、制定治疗计划、教育患者和医疗保健专业人员,以及生成准确的医疗记录或科学论文。总之,人工智能在儿科领域的多方面应用将提高医疗保健和研究的效率和质量。然而,这一进步也伴随着一定的风险和威胁,包括可能导致健康差异和不准确的偏见。因此,认识和应对技术、伦理和法律方面的挑战以及探索临床和研究领域的益处至关重要。
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