Artificial General Intelligence in support of General Practice Healthcare

“我们在提供初级卫生保健方面面临危机。越来越多的在线技术解决方案可用于帮助支持全科医生(GP)。然而，他们要么没有得到全科医生的广泛支持，要么没有得到他们打算服务的患者的广泛支持。在光谱的一端，有一些服务提供诊断服务，使用由决策树算法生成的脚本问题，但这些服务未能表现出常识，也无法以人性化的方式与患者互动。在另一端，有真正的医生支持的支持系统，但无法为患者提供实时响应。我们的方法是使用具有一定诊断能力的人工智能技术，以一种类似于医生通常与患者互动的方式，更接近于我们习惯的“床边方式”。我们能够通过使用生物启发的人工通用智能(AGI)来做到这一点，这是在十多年的时间里开发出来的。其中一个关键的区别是，体现这些诊断技能的人工代理也对会诊过程本身有感知，不仅决定询问什么，而且决定何时应该听取。该项目的成果是虚拟医生的演示，它在独立的软件模拟中进入与虚拟患者的会诊。这个项目的原则证明将允许我们展示一个对患者友好的实时医生助手。我们正在与一家现有的服务提供商密切合作，并雇用在初级保健和人工智能开发方面具有广泛和经过验证的经验的员工。“

"We face a crisis in the provision of primary health care. An increasing number of online technology solutions are available to help support General Practitioners (GPs). However, they have either failed to gain widespread support amongst GPs, or amongst the patients which they are intended to serve. At one end of the spectrum there are services which offer diagnostic services, employing scripted questions generated by decision tree algorithms, that fail to exhibit common sense or engage with the patient in a humanistic fashion. At the other end there are support systems that are backed by real doctors, but fail to offer patients a response in real-time.Our approach is to employ artificial intelligence techniques with some diagnostic capacity, in a fashion that resembles the manner in which doctors usually interact with patients, something far closer to the ""bed-side-manner"" that we are used to. We are able to do this through the use of biologically inspired Artificial General Intelligence (AGI) developed over a period of more than ten years. One of the key differences is that the artificial agent that embodies these diagnostic skills, also has an awareness of the consultation process itself, and not only decides what to ask, but also decides when it should listen.The deliverable from this project is the demonstration of virtual doctor, which enters into a consultation with a virtual patient in a stand-alone software simulation. A proof of principle in this project will allow us to demonstrate a patient-friendly real-time doctor's assistant. We are working closely with one existing service provider, and employ staff with both extensive and proven experience in primary care and in artificial intelligence development."