Mandal Subhamoy, Greenblatt Aaron B, An Jingzhi
IEEE Pulse. 2018 Sep-Oct;9(5):16-24. doi: 10.1109/MPUL.2018.2857226.
Artificial intelligence (AI) and machine learning (ML) have influenced medicine in myriad ways, and medical imaging is at the forefront of technological transformation. Recent advances in AI/ML fields have made an impact on imaging and image analysis across the board, from microscopy to radiology. AI has been an active field of research since the 1950s; however, for most of this period, algorithms achieved subhuman performance and were not broadly adopted in medicine. Recent enhancements for computational hardware is enabling researchers to revisit old AI algorithms and experiment with new mathematical ideas. Researchers are applying these methods to a broad array of medical technologies, ranging from microscopic image analysis to tomographic image reconstruction and diagnostic planning.
人工智能(AI)和机器学习(ML)已在诸多方面影响了医学,而医学成像处于技术变革的前沿。AI/ML领域的最新进展已全面影响成像和图像分析,从显微镜检查到放射学。自20世纪50年代以来,AI一直是一个活跃的研究领域;然而,在这一时期的大部分时间里,算法的性能低于人类水平,并未在医学中得到广泛应用。计算硬件的最新改进使研究人员能够重新审视旧的AI算法,并试验新的数学理念。研究人员正在将这些方法应用于广泛的医学技术,从微观图像分析到断层图像重建和诊断规划。