Development and commercialisation of AI platform to disrupt the ultrasound guided invasive procedures training for junior doctors and medical students

超声辅助改善了患者状况管理，并成为许多临床专业的宝贵工具。然而，它的成功应用取决于临床医生的技能，是依赖于操作员，其中奠定了临床医生在广泛采用和开展床旁超声程序所面临的最大挑战之一。今天，实习医生超声辅助程序的培训是通过批准的教师在NHS运营的培训中心提供。一个典型的培训日（每个学生花费100英镑至275英镑）围绕教师提供指南和合成对象或患者使用超声旋钮扫描，离线超声图像出现在显示屏上。由于教师和病人的有限时间可用性，学生获得最多30分钟的动手时间每届会议。现有培训方法的主要局限性包括：* 课程本身无法在有限的病例上提供培训，* 讲师和实习医生在特定时间/地点的可用性有限，* 人体模型中没有正常解剖结构的代表，* 由于针头插入扭曲了超声波获得的图像，因此使用有限为了纠正现有培训解决方案的缺点，通过这个18个月的项目，Ashmount Services和De Montfort University莱斯特（DMU）正在为实习医生开发世界上第一个增强现实（AR）和人工智能（AI）驱动的超声培训平台“西姆斯”。西姆斯将为初级医生提供根据其可用性进行培训的自由，将人为错误减少至少99%，并使用目录中的特定病例扩展超声经验。它将使医疗服务提供者能够以自动化的方式统一培训和评估大量医生。

Ultrasound assistance improves patient conditions management and serves as an invaluable tool for numerous clinical specialties. However, its successful application depends in on the clinician's skills and is operator-dependent and therein lays one of the greatest challenges faced by clinicians in widely adopting and undertaking bedside ultrasound procedures.Today, trainee doctors ultrasound assisted procedural training is provided in the NHS operated training centres through approved instructors. A typical training day-session (costing £100 to £275 per student) surrounds instructor providing guidelines and synthetic subject or patient being scanned using an ultrasound knob with off-line ultrasound images appearing on the display screen. Because of instructor and patient's limited-time availability, students gain maximum of 30min hands-on time per session. Key limitations of existing training approaches include;* course's inherent inability to provide training on limited cases,* instructor and trainee doctors' limited availability on specific times/locations,* non-representation of normal anatomy in mannequins,* limited use as needle insertions distorts images obtained by ultrasoundTo rectify the shortcomings of existing training solutions, through this 18 months project, Ashmount Services and De Montfort University Leicester (DMU), are developing world's first Augmented Reality (AR) and Artificial Intelligence (AI) powered ultrasound training platform 'SIMS' for trainee doctors.SIMS will provide junior doctors the freedom to undertake training as per their availability, reduce human errors by at-least 99% and expand ultrasound experience using specific cases from the catalogue. It will enable healthcare providers to uniformly train and assess large numbers of doctors in an automated way.