모든 역량 지수

Healthcare & Medical Index

Assesses model performance across the healthcare and medical domain. Capabilities evaluated include domain-specific knowledge (medicine, public health, biomedical sciences), clinical diagnosis and assessment, reasoning over long patient records and claims files, patient documentation, medication management, and more.

대표 워크플로 보기

점수

Artificial Analysis Healthcare & Medical Index

Incorporates 6 evaluations: AA-Omniscience, GDPval-AA v2, AA-Briefcase, MLCR-AA, Humanity's Last Exam, AutomationBench-AA · Higher is better

Artificial Analysis Healthcare & Medical Index: 역량 세부 분석

Incorporates 6 evaluations: AA-Omniscience, GDPval-AA v2, AA-Briefcase, MLCR-AA, Humanity's Last Exam, AutomationBench-AA · 기여도별로 구분

역량 세부 분석

Artificial Analysis Healthcare & Medical Index: Medical & Health Knowledge

Incorporates 1 evaluation: AA-Omniscience · Higher is better

대표 워크플로

Healthcare & Medical Index에서 가장 높은 가중치를 둔 역량을 평가하는 실제 워크플로입니다.

Patient diagnosis & clinical assessmentMedical & Health KnowledgeLong-Context ReasoningNon-HallucinationReasoning

예시: Reassess a returning patient with worsening symptoms against the original EHR workup to build a differential from the new labs and imaging and surface alternative diagnoses the findings point to.

Treatment administration & proceduresMedical & Health KnowledgeNon-Hallucination

예시: A surgical team that encounters unexpected anatomy mid-laparoscopic-procedure. Retrieve comparable case reports and imaging precedents and quickly output findings relevant to their immediate decision.

Patient documentation & chartingMedical & Health KnowledgeAgentic Knowledge Work

예시: Turn a clinician's dictated notes from a follow-up visit into a structured SOAP note, pulling the patient's active problems and relevant history from the existing chart, placing each finding in the right section, and flagging the gaps the next provider would need filled.

Medication management & pharmacy coordinationMedical & Health KnowledgeNon-HallucinationReasoning

예시: Calculate a child's per-dose amount from their measurements and the prescriber's notes against the available suspension concentration, convert it to the millilitres to measure at each dose, and produce caregiver instructions that keep the total within the safe daily range.

Continuing education & researchMedical & Health KnowledgeAgentic Knowledge WorkLong-Context ReasoningReasoning

예시: Evaluate whether a dermatology team should adopt a newer procedure backed by emerging but limited long-term evidence to summarise the published trials and safety data, compare outcomes against the current standard of care, and outline the open questions the team still needs to resolve.

Medical records review & claimsLong-Context ReasoningNon-HallucinationReasoning

예시: Work a several-hundred-page medical record assembled from multiple providers to reconstruct the treatment timeline, identify which encounters relate to the injury in question, and answer reviewer questions with citations to the underlying documents.

Patient education & care coordinationMedical & Health KnowledgeAgentic Knowledge WorkAgentic Tool Use

예시: Turn a patient's after-visit summary into plain-language, step-by-step home-care instructions in their preferred language, anticipate the questions they are most likely to ask, and confirm the follow-up appointment and how to reach the clinic with concerns.

비용

Artificial Analysis Healthcare & Medical Index: 작업당 비용

작업당 평균 비용(USD)을 입력, 캐시 적중, 캐시 쓰기, 추론 및 답변 토큰으로 구분

Artificial Analysis Healthcare & Medical Index vs. 작업당 비용

Artificial Analysis Healthcare & Medical Index · 작업당 가중 평균 비용(USD)
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속도

Artificial Analysis Healthcare & Medical Index: 작업당 시간

Weighted average decode time (minutes) per task; excludes TTFT and overhead time · Lower is better

출력 토큰

Artificial Analysis Healthcare & Medical Index: 작업당 출력 토큰

하나의 작업을 실행하는 데 사용된 출력 토큰을 추론 토큰과 답변 토큰으로 구분

출시일

Artificial Analysis Healthcare & Medical Index vs. 출시일

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