Skin Analytics and Together First partner to bring pioneering AI technology to primary care for over 200,000 patients in the region

Skin Analytics 与 Together First 合作，将开创性的 AI 技术引入初级医疗，惠及该地区超过 200,000 名患者。

Residents in Barking & Dagenham now have faster, more accurate access to skin cancer checks thanks to a new partnership between Skin Analytics and Together First, the borough’s GP Federation. The partnership brings DERM, a medical grade AI skin cancer assessment tool, directly into Barking Community Hospital CDC, reducing the need for GP appointments and referrals as well as cutting down wait times for urgent checks..

巴金和达格南的居民现在可以更快、更准确地进行皮肤癌检查，这要归功于皮肤分析公司（Skin Analytics）与该自治市GP联盟Together First之间的新合作。此次合作将医用级人工智能皮肤癌评估工具DERM直接引入巴金社区医院CDC，减少了对GP预约和转诊的需求，同时缩短了紧急检查的等待时间。

DERM is the first autonomous AI system for skin cancer detection. It can analyse moles and skin lesions for signs of cancer without needing a doctor to review the case first. The AI has been trained on a vast dataset of skin images, allowing it to rule out cancer with 99.8% accuracy – exceeding the typical 98.9% achieved by dermatologists..

DERM是首个用于皮肤癌检测的自主人工智能系统。它能够分析痣和皮肤病变以寻找癌症迹象，而无需医生预先审查病例。该人工智能经过大量皮肤图像数据集的训练，可以以99.8%的准确率排除癌症，超过了皮肤科医生通常达到的98.9%。

Already used across NHS primary and secondary care to triage and assess skin lesions for cancer, this rollout marks the first time the technology will be used in primary care in North East London. Patients will be able to book assessments online instead of waiting weeks for a hospital referral.

该技术已在英国国家医疗服务体系（NHS）的初级和二级护理中用于分诊和评估皮肤病变是否为癌症，此次推广标志着该技术将首次在东北伦敦的初级护理中使用。患者将能够在线预约评估，而无需等待数周进行医院转诊。

As healthcare systems worldwide buckle under unprecedented dermatologist shortages with patients waiting months for potentially life-saving skin cancer checks. In the UK alone

随着全球医疗系统因前所未有的皮肤科医生短缺而面临压力，患者等待数月才能进行可能挽救生命的皮肤癌检查。仅在英国

NHS England says urgent skin cancer referrals have skyrocketed 170% in the last decade

英格兰国家医疗服务体系表示，过去十年中，紧急皮肤癌转诊量激增了 170%。

while 11% of urgent cases wait over a month just to be seen.

而有11%的紧急病例等待超过一个月才能被接见。

Neil Daly, CEO of Skin Analytics, said

尼尔·达利，Skin Analytics的首席执行官，表示

: “Early diagnosis is critical in saving lives from skin cancer, but long wait times mean many patients are left in limbo. By bringing DERM into GP surgeries, we’re making fast, accurate assessments available in local communities. This is not just about technology – it’s about making sure people get the care they need, when they need it.”.

“早期诊断对拯救皮肤癌患者的生命至关重要，但漫长的等待时间意味着许多患者处于悬而未决的状态。通过将DERM引入全科医生诊所，我们正在使快速、准确的评估在本地社区中变得可用。这不仅仅是技术的问题——而是确保人们在需要的时候得到他们所需的护理。”

Craig Nicolic, Chief Operating Officer at Together First, added

克雷格·尼科利奇（Craig Nicolic），Together First首席运营官，补充道

: “Barking & Dagenham has high healthcare demand and limited specialist resources. By using AI to detect skin cancer earlier, we can reduce unnecessary hospital visits and get urgent cases seen sooner. This is a game-changer for our community.”

“巴金和达格纳姆的医疗需求很高，但专科资源有限。通过使用人工智能更早地检测皮肤癌，我们可以减少不必要的医院就诊，并让紧急病例更快得到诊治。这对我们的社区来说是一个改变。”

DERM has been used in NHS pathways that have assessed over 145,000 NHS patients, detecting more than 14,000 cases of skin cancer. In existing NHS deployments, it has reduced the number of urgent in-person dermatologist appointments by up to 95%, ensuring that specialists focus on the most at-risk patients..

DERM 已被用于 NHS 诊疗路径中，评估了超过 145,000 名 NHS 患者，检测出 14,000 多例皮肤癌病例。在现有的 NHS 部署中，它减少了多达 95% 的紧急面对面皮肤科医生预约，确保专家专注于风险最高的患者。

How it works

工作原理

Instant AI assessment – The AI analyses the lesion and provides an immediate recommendation to healthcare assistants on whether a patient can be quickly discharged (for benign lesions) or whether a specialist referral is needed.

即时AI评估——AI分析病灶并立即向医疗助理提供是否可以快速让患者出院（良性病灶）或是否需要转诊专科医生的建议。

Reducing unnecessary referrals – If the AI determines a lesion is not cancerous, patients can avoid hospital visits entirely and be discharged, or be treated for other skin conditions within the community.

减少不必要的转诊——如果人工智能确定病变不是癌性的，患者可以完全避免去医院就诊并出院，或者在社区内接受其他皮肤状况的治疗。

Prioritising urgent cases – Patients flagged as at risk can be fast-tracked for treatment to the care of dermatologists.

优先处理紧急病例——被标记为有风险的患者可以快速转诊给皮肤科医生进行治疗。

For more information on Skin Analytics visit

有关皮肤分析的更多信息，请访问

www.skin-analytics.com

www.skin-analytics.com

.

。