Semantic enrichmentNatural Language Processing (NLP)Knowledge graphsWord embeddingsMedical codingArtificial Intelligence technologies are every day more present in the medical domain. Several healthcare activities that were entirely done manually by experts in the past, now are reaching a high......
While AI-based CAC is showing excellent results, it’s currently used in a hybrid model, assisting human coders in routine tasks, freeing up more time for them to focus on some gray areas, which often come up in the field of medical coding. Available solutions 3M 360 Encompass. Integrated...
For example, they can combine NLP with generative AI to streamline medical coding, extract patient information, and summarize records. Depending on the NLP task that you want to perform, different architectures might be best suited for your use case. This guide addresses the following generative...
Incremental Intent Detection for Medical Domain with Contrast Replay Networks 具有对比重放网络的医学领域的增量意图检测 论文链接:aclanthology.org/2022.f Code Synonyms Do Matter: Multiple Synonyms Matching Network for Automatic ICD Coding 代码同义词很重要:用于自动 ICD 编码的多个同义词匹配网络 论文链接:acl...
Amazon Comprehend Medical is a a HIPAA-eligible service that uses machine learning to extract health data from medical text.
It automates tasks such as medical coding and billing, improves clinical decision-making by analyzing patient symptoms and treatment records, and even assists in extracting valuable insights from large-scale medical data for clinical research. Finance: NLP plays an instrumental role in analyzing ...
Human-in-the-loop AI for healthcare NLP RISK ADJUSTMENT SOLUTION Industry Segments See how we partner with organizations across the healthcare ecosystem, from emerging biotechnology and large pharmaceutical, to medical technology, consumer health, and more, to drive human health forward. Pay...
Assertion Detection in Clinical Notes: Medical Language Models to the Rescue? 论文地址:aclanthology.org/2021.n 摘要生成 UETrice at MEDIQA 2021: A Prosper-thy-neighbour Extractive Multi-document Summarization Model 论文地址:aclanthology.org/2021.b IBMResearch at MEDIQA 2021: Toward Improving Factual ...
Accelerate your healthcare NLP development with industry experts. Contact us today for medical data curation, annotation, model training, and testing.
专业能力(e.g. coding、math) 应用能力(MedicalApps、AgentApps、AI-FOR-SCI ...) 指令跟随(Instruction Following) 鲁棒性(Robustness) 偏见(Bias) 幻觉(Hallucinations) 安全性(Safety) 例:GPT-4 vs LLaMA2-7B能力维度对比评测 1. 自动评估方法 模型效果评估 基准和指标(Benchmarks & Metrics) 数据集描述评...