Follow on Deployment and Development of a Machine Learning/AI Cancer Rule-Out Test for the NHS Two Week Wait Pathway

我们的目标是将庞大且日益复杂的医疗数据和研究提炼成简单的工具，使临床医生能够为患者做出更好的选择。早期诊断对于提高癌症存活率至关重要，这样患者就可以在更有可能完全治愈的时候接受治疗。2018年，PinPoint开始开发一种测试方法，以快速对有症状的患者进行分诊，帮助临床医生减少患者的焦虑和诊断时间。我们与临床医生和学者合作，创建了PinPoint(r)？测试。它使用机器学习将来自多个血液分析的信号和基本患者信息结合到一个临床决策支持工具中。这使得临床医生可以很容易地确定哪些患者应该被转诊给专家进行癌症诊断，哪些是特别紧急的危险信号，哪些患者可以安全地进行检查，以确定其症状的其他可能原因。在Innovate UK的支持下，通过评估NHS的服务，为未来更广泛的采用和开发升级做好准备，PinPoint已经建立了证据基础。早期诊断对于提高癌症存活率至关重要，这样患者就可以在更有可能完全治愈的时候接受治疗。2018年，PinPoint开始开发一种测试方法，以快速对有症状的患者进行分诊，帮助临床医生减少患者的焦虑和诊断时间。我们与临床医生和学者合作，创建了PinPoint(r)？测试。它使用机器学习将来自多个血液分析的信号和基本患者信息结合到一个临床决策支持工具中。这使得临床医生可以很容易地确定哪些患者应该被转诊给专家进行癌症诊断，哪些是特别紧急的危险信号，哪些患者可以安全地进行检查，以确定其症状的其他可能原因。在Innovate UK的支持下，通过评估NHS的服务，为未来更广泛的采用和开发升级做好准备，PinPoint已经建立了证据基础。

Our ambition is to distill the vast and ever increasing complexity of medical data and research into simple tools enabling clinicians to make better choices for their patients.Earlier diagnosis is critical to increasing the cancer survival rate so patients can receive treatment when there is a better chance of achieving a complete cure. In 2018 PinPoint began developing a test to quickly triage patients with symptoms to help clinicians reduce patient anxiety and time to diagnosis.Working with clinicians and academics we have created the PinPoint(r)? Test. It uses machine learning to combine signals from multiple blood analytes and basic patient information into a single clinical decision support tool. This allows clinicians to easily identify those patients who should be referred to specialists for cancer diagnosis, red flag particularly urgent cases and identify those who can be safely investigated for other possible causes of their symptoms.With support from Innovate UK PinPoint has been building the evidence base by evaluating the service in the NHS, preparing for wider adoption and developing upgrades for the future.Earlier diagnosis is critical to increasing the cancer survival rate so patients can receive treatment when there is a better chance of achieving a complete cure. In 2018 PinPoint began developing a test to quickly triage patients with symptoms to help clinicians reduce patient anxiety and time to diagnosis.Working with clinicians and academics we have created the PinPoint(r)? Test. It uses machine learning to combine signals from multiple blood analytes and basic patient information into a single clinical decision support tool. This allows clinicians to easily identify those patients who should be referred to specialists for cancer diagnosis, red flag particularly urgent cases and identify those who can be safely investigated for other possible causes of their symptoms.With support from Innovate UK PinPoint has been building the evidence base by evaluating the service in the NHS, preparing for wider adoption and developing upgrades for the future.