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

超声辅助改善了病人的病情管理，并作为许多临床专业的宝贵工具。然而，它的成功应用依赖于临床医生的技能和操作者，这是临床医生在广泛采用和开展床边超声手术时面临的最大挑战之一。今天，实习医生的超声辅助程序培训是通过批准的讲师在国民保健制度经营的培训中心提供的。一个典型的培训日课程（每位学生花费100至275英镑）是由讲师提供指导，并用超声波旋钮对合成受试者或患者进行扫描，并在屏幕上显示离线超声图像。由于教师和患者的时间有限，学生每次最多可获得30分钟的实践时间。现有培训方法的主要限制包括：*课程本身无法针对有限的病例提供培训，*讲师和实习医生在特定时间/地点的可用性有限，*人体模型中无法呈现正常解剖结构，*针头插入使用有限，会扭曲超声波获得的图像。为了纠正现有培训解决方案的缺点，通过这个为期18个月的项目，Ashmount Services和De Montfort University Leicester (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“SIMS”。SIMS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%，并利用目录中的特定病例扩展超声经验。它将使医疗保健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.