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革新神经学:人工智能在推进诊断与治疗中的作用。

Revolutionizing Neurology: The Role of Artificial Intelligence in Advancing Diagnosis and Treatment.

作者信息

Kalani Meetali, Anjankar Ashish

机构信息

Biochemistry, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.

出版信息

Cureus. 2024 Jun 5;16(6):e61706. doi: 10.7759/cureus.61706. eCollection 2024 Jun.

Abstract

Artificial intelligence (AI) has emerged as a powerful tool in the field of neurology, significantly impacting the diagnosis and treatment of neurological disorders. Recent technological breakthroughs have given us access to a plethora of information relevant to many aspects of neurology. Neuroscience and AI share a long history of collaboration. Along with great potential, we encounter obstacles relating to data quality, ethics, and inherent difficulty in applying data science in healthcare. Neurological disorders pose intricate challenges due to their complex manifestations and variability. Automating image interpretation tasks, AI algorithms accurately identify brain structures and detect abnormalities. This accelerates diagnosis and reduces the workload on medical professionals. Treatment optimization benefits from AI simulations that model different scenarios and predict outcomes. These AI systems can currently perform many of the sophisticated perceptual and cognitive capacities of biological systems, such as object identification and decision making. Furthermore, AI is rapidly being used as a tool in neuroscience research, altering our understanding of brain functioning. It has the ability to revolutionize healthcare as we know it into a system in which humans and robots collaborate to deliver better care for our patients. Image analysis activities such as recognizing particular brain regions, calculating changes in brain volume over time, and detecting abnormalities in brain scans can be automated by AI systems. This lessens the strain on radiologists and neurologists while improving diagnostic accuracy and efficiency. It is now obvious that cutting-edge artificial intelligence models combined with high-quality clinical data will lead to enhanced prognostic and diagnostic models in neurological illness, permitting expert-level clinical decision aids across healthcare settings. In conclusion, AI's integration into neurology has revolutionized diagnosis, treatment, and research. As AI technologies advance, they promise to unravel the complexities of neurological disorders further, leading to improved patient care and quality of life. The symbiosis of AI and neurology offers a glimpse into a future where innovation and compassion converge to reshape neurological healthcare. This abstract provides a concise overview of the role of AI in neurology and its transformative potential.

摘要

人工智能(AI)已成为神经学领域的强大工具,对神经系统疾病的诊断和治疗产生了重大影响。最近的技术突破使我们能够获取与神经学诸多方面相关的大量信息。神经科学与人工智能有着长期的合作历史。除了巨大潜力外,我们还面临与数据质量、伦理以及在医疗保健中应用数据科学的固有困难相关的障碍。神经系统疾病因其复杂的表现和变异性带来了错综复杂的挑战。通过自动化图像解释任务,人工智能算法能够准确识别脑结构并检测异常。这加快了诊断速度并减轻了医学专业人员的工作量。人工智能模拟通过对不同情况进行建模并预测结果,有助于优化治疗。目前,这些人工智能系统能够执行生物系统的许多复杂感知和认知能力,如物体识别和决策。此外,人工智能正迅速被用作神经科学研究的工具,改变我们对大脑功能的理解。它有能力将我们所知的医疗保健彻底变革为一个人类与机器人协作以更好地为患者提供护理的系统。人工智能系统可以自动执行图像分析活动,如识别特定脑区、计算脑容量随时间的变化以及检测脑部扫描中的异常。这在减轻放射科医生和神经科医生工作负担的同时提高了诊断准确性和效率。现在很明显,前沿的人工智能模型与高质量的临床数据相结合将带来神经系统疾病预后和诊断模型的改进,从而在整个医疗保健环境中实现专家级的临床决策辅助。总之,人工智能融入神经学已经彻底改变了诊断、治疗和研究。随着人工智能技术的进步,它们有望进一步揭示神经系统疾病的复杂性,从而改善患者护理和生活质量。人工智能与神经学的共生关系让我们看到了一个创新与关怀汇聚以重塑神经医疗保健的未来。本摘要简要概述了人工智能在神经学中的作用及其变革潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d423/11224934/a78958a9262d/cureus-0016-00000061706-i01.jpg

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