研究 × 关怀 × 智能

理解患者。 连接临床信息。

面向神经科与跨专业照护的研究平台。NeuroCifra 将文档、咨询和随访置于统一的临床背景中,由人工智能辅助,专业人员掌握决策。

01 / 我们的思路

医疗是一段持续的历程。 信息也需要连贯。

一次就诊汇集了文件、观察和问题。我们正在构建研究平台,帮助专业人员理解背景并跟踪变化。

01

分散的信息

将病史、检查与后续步骤置于共同的临床背景中。

02

有限的就诊时间

探索文书辅助,让与患者的交流始终处于就诊的中心。

03

就诊之间的变化

让不同时期的观察更便于比较,并与患者讨论。

02 / 工作流程示意

从一个问题 到共同的下一步。

这是理念示意图,并非患者记录或诊断预测。

NEUROCIFRA 示例 · 非患者数据

01 / 资料

分散的信息

将病史、检查与后续步骤置于共同的临床背景中。

PDFMRI / CTNOTES
概念示意图 · 非医学影像
↗ 对人的意义

对专业人员:更清晰的起点和可追溯的信息。对患者:可以再次查看的解释,以及明确的下一步。

03 / 专业领域

科学帮助提出问题。 人赋予问题意义。

我们关注人工智能辅助的评估、可视化解释和连续照护,并明确区分研究思路、实验功能与临床验证。

01 / 我们的研究重点概念示意图 · 非医学影像

神经科与认知

记忆、注意力、语言与神经系统:在清晰的时间线上理解观察结果。

02 / 我们的研究重点概念示意图 · 非医学影像

心理健康与治疗

支持结构化交流、随访以及不同专业视角之间的合作。

03 / 我们的研究重点概念示意图 · 非医学影像

临床实践与康复

连接咨询、相关材料和对患者有意义的康复目标。

04 / 期刊

期刊

关于人工智能与医学的文章。目前文章提供英文和俄文版本。

AI 生成的编辑插图 · 人物与场景均为虚构NEUROLOGY · en

Clinical context: why a symptom is not a diagnosis

What must an AI assistant preserve when it connects complaints, examination findings and a patient’s history? We examine the difference between recognising a pattern and establishing a clinical conclusion.

A complaint becomes clinically meaningful through context. The same description of forgetfulness can refer to different difficulties: sustaining attention, learning new information, retrieving a name or organising everyday activity. A useful clinical record must preserve these distinctions rather than replacing them with a single broad label. This is the starting point for our work on connected clinical information.

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AI 生成的编辑插图 · 人物与场景均为虚构CLINICAL PRACTICE · en

From medical documents to a reliable patient history

Recognition is only the first step. Dates, medication changes, uncertain readings and the provenance of every statement determine whether a summary can support a consultation.

A medical document is more than a block of text. Its meaning depends on who produced it, when it was written, what examination it describes and whether a recommendation was later changed. A discharge letter, a referral and a patient’s note can contain similar terms while serving different purposes. Document processing must preserve these relationships before it can produce a useful clinical summary.

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AI 生成的编辑插图 · 人物与场景均为虚构SPEECH & CONSULTATION · en

Speech during a consultation: preserve meaning, not just words

Near-real-time transcription raises a clinical question: how do we preserve the speaker, negation, correction and uncertainty while the conversation is still unfolding?

A consultation is not a dictated report. People interrupt themselves, change a number, return to an earlier event and speak over one another. A patient may quote another person, while a specialist may offer a hypothesis as a question. Converting this exchange into a fluent paragraph can erase distinctions that are essential to understanding the encounter.

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AI 生成的编辑插图 · 人物与场景均为虚构VISUAL UNDERSTANDING · en

The brain as an explanation: what a visual model can show

An anatomical atlas, a measured imaging finding and a functional hypothesis communicate different kinds of knowledge. A useful visual interface must make those differences visible.

Visualisation can organise a difficult conversation. It offers a shared object that a specialist and a patient can examine together: an anatomical structure, the location described in a report or the course of an observation. Its value depends on whether the image clarifies the evidence rather than making an uncertain interpretation appear more certain.

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AI 生成的编辑插图 · 人物与场景均为虚构CONTINUITY OF CARE · en

Follow-up: distinguish a change from an explanation

Longitudinal care requires more than a rising or falling chart. We examine comparability, missing observations, patient goals and the limits of attributing change to treatment.

A follow-up consultation asks a different question from the first visit. It asks what changed, under which conditions and whether that change matters to the patient. A score, a description of daily functioning and an account of treatment experience may each contribute something different. A useful longitudinal record should keep them connected without flattening them into one number.

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AI 生成的编辑插图 · 人物与场景均为虚构CHILD DEVELOPMENT · en

Child language development: from parental concern to an assessment plan

Connecting family observations, language assessment and professional support while keeping digital assistance separate from premature diagnosis.

“My child understands everything but says very little” starts a conversation; it does not settle it. Concrete examples help: asking for help, following an unfamiliar instruction, telling a story or joining a game. They make the concern more specific than a general developmental label.

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AI 生成的编辑插图 · 人物与场景均为虚构LEARNING & DEVELOPMENT · en

Attention and learning: why one questionnaire is not enough

Discussing school difficulties without labels, comparing home and classroom observations, and defining a useful role for AI in consultation preparation.

A child may lose track of instructions, take time to begin work or avoid reading. These descriptions concern different tasks. A useful review starts by asking where the difficulty occurs, what the child can already do and which assistance changes task performance.

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AI 生成的编辑插图 · 人物与场景均为虚构PAEDIATRIC NEUROLOGY · en

Paediatric neurology and developmental education: one shared pathway

Connecting medical questions, developing skills and family goals while preserving each professional’s responsibility.

A child may see several professionals while the family retells the same history at every appointment. A shared record should connect consultations: which question was raised, what has been assessed and what the next team member needs to know.

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05 / 联系我们

从一次交流开始。

面向探索人工智能医疗应用的专业人员、研究团队和机构。欢迎介绍您的需求。

研究版本。临床决策由具备资质的专业人员作出。

请勿在此公开表单中填写医疗记录或患者个人信息。