@unisound-llm

unisound-chronic-injury routes insurance claim image reports through an internal medical LLM to classify injury age (old/new/none/unmentioned) against caller-defined categories and output format. no external dependencies, direct model invocation.

unisound-pe-missing-negative audits outpatient medical records for missing physical examination findings related to diagnosis, delegating judgment to an internal medical llm via hivoice maas api.

unisound-med-record-qc performs quality control on medical records and reports via task-switchable system prompts. supports entity extraction, chart review, clinical pathway validation, and radiology report assessment. single python script deployable standalone.

detects abnormal chronic disease indicators (glucose, blood pressure, heart rate) against configurable thresholds and generates alert levels with interpretable reasoning. does not diagnose or prescribe treatment.

tracks post-operative rehabilitation progress by aggregating task completion, pain scores and functional assessments into visualizable metrics and trend analysis. outputs structured summaries and natural language interpretation via internal medical model.

unisound-lab-report-interpret accepts lab report text (cbc, biochemistry, urinalysis, ekg) and outputs json with flagged abnormalities, clinical significance, and follow-up recommendations. intended for primary care clinicians.

unisound-clinical-trial-design guides structured protocol design for pharmaceutical clinical trials, accepting study parameters like indication, intervention, phase, and endpoints, then producing trial design recommendations via internal medical llm. scope excludes statistics, recruitment, regulatory submission, and drug discovery.

generates initial drafts of academic materials for pharmaceutical medical affairs by assembling topic, audience, key messages and evidence into structured json output. references scientific writing principles but lacks procedural depth and error handling.

临床教学案例生成。由调用方提供题目文本或含 `question` 字段的结构化输入，经内部医疗大模型按题干约束生成作答；仅含 `scripts/run.py`，可独立拷贝部署。

病历实体抽取与结构化。由调用方提供题目文本或含 `question` 字段的结构化输入，经内部医疗大模型按题干约束生成作答；仅含 `scripts/run.py`，可独立拷贝部署。

医生端 ICD/DRG — 据出院文书与 DRG 候选项，由内部医疗大模型单选最可能入组；仅含 scripts/run.py，无 _shared 依赖。

将口语化通用医学记录转换为标准化、规范化的医学记录。输入口语化病历文本，调用内部医疗大模型，输出符合临床病历书写规范的标准化记录（术语规范、表述严谨、数据规范、结构规范）。

医生端临床科研 — 论文写作辅助，按 IMRaD 等结构将要点扩写为学术中文/英文段落草稿。

门诊病历内涵质控：高血压未记录血压最高值。给定门诊病历文本，调用内部医疗大模型，输出无缺陷或有缺陷及原因。

门诊病历内涵质控：未记录肿瘤名称。给定门诊病历文本，调用内部医疗大模型，输出无缺陷或有缺陷及原因。

门诊病历内涵质控：既往史缺血压血糖控制情况。给定门诊病历文本，调用内部医疗大模型，输出无缺陷或有缺陷及原因。

病人端慢病管理随访复诊提醒。参考 Simple 的 appointments/overdue patients 部分，构建管理连续性能力。

病人端通用健康知识科普。参考 wellally-tech 的 knowledge base recommendations 部分，构建通用健康内容入口。

病人端术后康复运动指导。参考 CareKit 的 instructions task view 部分，构建训练动作指导能力。

医学科普、文档摘要、术语释义、教学案例与诊疗文书辅助生成。通过 --task 选择类型；仅含 `scripts/run.py`，可独立拷贝部署。