Giansanti Daniele, Monoscalco Lisa
Centro TISP, ISS, Roma, Italy.
Facoltà di Ingegneria, Università di Tor Vergata, Roma, Italy.
Mhealth. 2021 Jan 20;7:8. doi: 10.21037/mhealth-19-188. eCollection 2021.
There is an increasing discussion concerning the integration of artificial intelligence (AI) into medical decision-making. AI science is a branch of engineering that implements novel concepts to resolve complex challenges and defined as the theory and development of computer systems to perform tasks which would normally require human intelligence. AI could aid cardiologists in improving decision-making, workflow, productivity, cost-effectiveness, and ultimately, patient outcomes. The present study proposes a tool for a positioning exercise in cardiology using mobile technology.
This study is based on a dedicated tool with electronic surveys that collect the opinions, requirements, and desires of the interested actors including both laypeople and professionals.
The tool was tested on 30 cardiologists and 30 subjects not involved in health care. The data-analysis revealed several clear trends on the cardiologists: (I) a high desire to invest in AI; (II) high confidence in the use of AI in several fields of cardiology from risk prevention to diagnostics in medical imaging; (III) low confidence in the use of AI in quality control procedures; (IV) a strong belief that ethical issues are hampering the diffusion of AI to different fields. The data-analysis on the 30 subjects not involved in health care highlighted that AI is still not well known and therefore looked with suspicious.
The integration of AI with telemedicine and e-health is a key issue for the health care. The study highlights how the mobile technology-based positioning exercises in mHealth can be useful for health care decision makers.
关于将人工智能(AI)整合到医疗决策中的讨论日益增多。人工智能科学是工程学的一个分支,它运用新颖的概念来解决复杂的挑战,被定义为计算机系统的理论与开发,以执行通常需要人类智能才能完成的任务。人工智能可以帮助心脏病专家改善决策、工作流程、提高生产力、提升成本效益,并最终改善患者的治疗效果。本研究提出了一种利用移动技术进行心脏病学定位练习的工具。
本研究基于一个配备电子调查问卷的专用工具,该工具收集包括外行和专业人员在内的相关人员的意见、需求和期望。
该工具在30名心脏病专家和30名非医疗保健人员中进行了测试。数据分析揭示了心脏病专家的几个明显趋势:(I)对投资人工智能有很高的意愿;(II)对人工智能在心脏病学的几个领域(从风险预防到医学成像诊断)的应用有很高的信心;(III)对人工智能在质量控制程序中的应用信心不足;(IV)坚信伦理问题阻碍了人工智能在不同领域的推广。对30名非医疗保健人员的数据分析表明,人工智能仍然不太为人所知,因此受到怀疑。
人工智能与远程医疗和电子健康的整合是医疗保健的一个关键问题。该研究强调了移动健康中基于移动技术的定位练习对医疗保健决策者可能是有用的。