{
  "docId": "019dd923-5e88-73ef-bd5c-f812573a947a",
  "docSlug": "eea7524c557036f4",
  "documentTitle": "2020 Air Street Capital The State of AI Report 2020",
  "authorId": "AirStreetCapital",
  "authorName": "Air Street Capital",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "vc_research",
  "sourceTypeLabel": "VC research",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.777,
  "pageNumber": 91,
  "pageCount": 177,
  "prevPage": 90,
  "nextPage": 92,
  "slideType": "industry_trends",
  "function": "summarize",
  "density": "dense",
  "nDataPoints": 2,
  "notes": "The slide highlights a specific industry response to a identified problem (low quality in 20,000 studies).",
  "elementsJson": [
    "headline_text",
    "paragraph",
    "bullet_list"
  ],
  "metadataConfidence": 0.95,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5e88-73ef-bd5c-f812573a947a/91",
  "deckHref": "/decks/019dd923-5e88-73ef-bd5c-f812573a947a",
  "deckJsonHref": "/decks/019dd923-5e88-73ef-bd5c-f812573a947a.json",
  "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-f812573a947a#slide-91",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "A review of 20,000 recent studies in the field found that less than 1% of these studies had sufficiently high-quality design and reporting.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd952-47c5-73ac-aa6c-1afafa329edf",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.9,
        "x": 0.05,
        "y": 0.28
      },
      "kind": "list",
      "text": "Al-based medical imaging studies have a major problem. A review of 20,000 recent studies in the field found that less than 1% of these studies had sufficiently high-quality design and reporting.",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "0abf93f5-c58e-49cf-a94e-11d39c60641f",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.25,
        "w": 0.8,
        "x": 0.08,
        "y": 0.62
      },
      "kind": "list",
      "text": "State which version of the Al algorithm will be used; How was input data acquired and selected; How was poor quality or unavailable input data assessed and handled; Was there human-Al interaction; Describe onsite/offsite requirements; Access/re-use",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "970c340c-e3fb-444f-99da-597712097618",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.15,
        "w": 0.9,
        "x": 0.05,
        "y": 0.45
      },
      "kind": "list",
      "text": "CONSORT and SPIRIT are existing international frameworks that have now been extended to include Al-specific requirements. These have been simultaneously published in high-impact journals: Nature Medicine, The Lancet Digital Health and BMJ.",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "aed0ca9d-ae49-4085-8d35-5fd606082ee8",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.12,
        "w": 0.9,
        "x": 0.05,
        "y": 0.13
      },
      "kind": "title",
      "text": "New international guidelines are drafted for clinical trial protocols (SPIRIT-AI) and reports (CONSORT-AI) that involve AI systems in a bid to improve both quality and transparency",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "c701cacc-f00c-4470-a10b-941a38a6e6e6",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Concrete Language",
      "slug": "concrete-language",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "019dd95a-0fd5-7148-8ecf-7a8ce7a20b26",
      "evidence": "Specific 1% of 20,000 studies meet quality.",
      "confidence": 80
    },
    {
      "name": "List presentation",
      "slug": "list-presentation",
      "agent": null,
      "layer": "slide",
      "matchId": "d01a7386-7b4e-462b-9f46-08251682d2dc",
      "evidence": "The slide presents information in a list/bullet format, which is a common presentation technique.",
      "confidence": 0.5
    }
  ],
  "frameworks": [
    {
      "name": "CONSORT-AI",
      "slug": null,
      "matchId": "6b1d9cd2-6564-4c4f-837f-2527c06d4759",
      "evidence": "Mentioned as an international framework for clinical trial reporting",
      "confidence": 1
    },
    {
      "name": "SPIRIT-AI",
      "slug": null,
      "matchId": "da2dbdbb-fbab-4100-b43c-b85d2e9dcdb0",
      "evidence": "Mentioned as an international framework for clinical trial protocols",
      "confidence": 1
    }
  ],
  "arcBeats": [
    {
      "to": 129,
      "from": 10,
      "beatId": "019dd95a-0682-776c-8e34-ed2a8f38a754",
      "arcName": "The Triple Take",
      "arcSlug": "triple-take",
      "beatName": "The Facts (What)",
      "beatSlug": "triple-take-the-facts-what",
      "evidence": "Research, Talent, Industry sections inventory what happened in AI in 2020.",
      "position": 1,
      "confidence": 60,
      "parentBeatName": "Setup",
      "parentBeatSlug": "setup"
    },
    {
      "to": 129,
      "from": 10,
      "beatId": "019dd95a-0682-776c-8e34-fc384f439bba",
      "arcName": "The Mountain",
      "arcSlug": "mountain",
      "beatName": "Rising Action",
      "beatSlug": "mountain-rising-action",
      "evidence": "Research, Talent and Industry sections build momentum of AI progress.",
      "position": 2,
      "confidence": 40,
      "parentBeatName": "Development",
      "parentBeatSlug": "development"
    }
  ],
  "loops": [
    {
      "to": 92,
      "from": 90,
      "name": "Maturity Curve",
      "slug": "36-maturity-curve",
      "bestFor": "Digital transformation, capability building, benchmarking",
      "matchId": "019dd95a-07fe-70ce-8d3d-134b6ed954d8",
      "evidence": "FDA TPLC framework -> SPIRIT-AI -> first CMS reimbursement progression.",
      "position": 11,
      "objective": "Track AI medical regulation maturing toward reimbursement",
      "structure": "Current Maturity Level -> The Gap to Next Level -> Required Capabilities -> The Roadmap",
      "confidence": 60,
      "description": "Show where you are on a progression and what it takes to reach the next level"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}