iiRecord
Agentic AI Atlas · aiml-medical-device
lib-process:biomedical-engineering--aiml-medical-devicea5c.ai
II.
LibraryProcess JSON

lib-process:biomedical-engineering--aiml-medical-device

Structured · live

aiml-medical-device json

Inspect the normalized record payload exactly as the atlas UI reads it.

File · generated-library/processes.yamlCluster · generated-library
Record JSON
{
  "id": "lib-process:biomedical-engineering--aiml-medical-device",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "aiml-medical-device",
    "description": "AI/ML Medical Device Development - Develop and validate AI/ML-based medical devices following\nFDA's AI/ML framework and Good Machine Learning Practice (GMLP) principles.",
    "libraryPath": "library/specializations/domains/science/biomedical-engineering/aiml-medical-device.js",
    "specialization": "biomedical-engineering",
    "references": [
      "- FDA AI/ML-Based Software as a Medical Device (SaMD) Action Plan\n- GMLP Guiding Principles: https://www.fda.gov/medical-devices/software-medical-device-samd/good-machine-learning-practice-medical-device-development-guiding-principles\n- FDA Predetermined Change Control Plan Guidance"
    ],
    "example": "const result = await orchestrate('specializations/domains/science/biomedical-engineering/aiml-medical-device', {\n  deviceName: 'Diabetic Retinopathy Screening AI',\n  mlProblemType: 'Image Classification',\n  intendedUse: 'Automated detection of diabetic retinopathy from fundus images',\n  dataDescription: { dataType: 'Fundus photographs', dataSize: '100000 images' }\n});",
    "usesAgents": [
      "general-purpose"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:biomedical-engineering--aiml-medical-device",
      "to": "skill-area:data-analysis",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:biomedical-engineering--aiml-medical-device",
      "to": "skill-area:sensor-fusion",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:biomedical-engineering--aiml-medical-device",
      "to": "skill-area:statistical-analysis",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.5
      }
    },
    {
      "from": "lib-process:biomedical-engineering--aiml-medical-device",
      "to": "domain:biomedical-engineering",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:biomedical-engineering--aiml-medical-device",
      "to": "role:biomedical-engineer",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:biomedical-engineering--aiml-medical-device",
      "to": "role:research-engineer",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:biomedical-engineering--aiml-medical-device",
      "to": "workflow:experiment-design",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:biomedical-engineering--aiml-medical-device",
      "to": "workflow:peer-review-cycle",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:biomedical-engineering--aiml-medical-device",
      "to": "specialization:biomedical-engineering",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 0.9
      }
    }
  ],
  "incomingEdges": []
}