From 8f59da412cc4b9f84ffc6c353beae8024bf9a7f0 Mon Sep 17 00:00:00 2001 From: Codex Date: Mon, 7 Sep 2026 23:41:44 +0200 Subject: [PATCH] =?UTF-8?q?deck=20slide=2008:=20split=20layout=20=E2=80=94?= =?UTF-8?q?=20current=20content=20(4=20numbered=20points=20+=20quiet=20qua?= =?UTF-8?q?lity-gate=20box)=20contained=20in=20left=20column,=20new=20righ?= =?UTF-8?q?t=20panel=20'The=20advantage:=20speed,=20precision,=20determini?= =?UTF-8?q?sm'=20(machine=20speed=20/=20audited=20precision=20/=20determin?= =?UTF-8?q?istic=20by=20design);=20css=20v39?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- presentation/deck/deck.css | 4 ++++ presentation/deck/index.html | 27 ++++++++++++++++++--------- 2 files changed, 22 insertions(+), 9 deletions(-) diff --git a/presentation/deck/deck.css b/presentation/deck/deck.css index c4312388..3c0ef18c 100644 --- a/presentation/deck/deck.css +++ b/presentation/deck/deck.css @@ -229,6 +229,9 @@ .arit .cat .it { font: 400 11px/1 var(--sans); color: var(--ink-muted); } .arit .cat.fill { background: var(--bordeaux-tint); } .arit .onto-points { margin-top: 18px; } +.arit .onto-left { display: flex; flex-direction: column; } +.arit .onto-left .roi { margin-top: auto; } +.arit .onto-left .onto-points { margin-bottom: 14px; } .arit .oitem { display: flex; gap: 10px; padding: 8px 0; border-bottom: 1px solid var(--line); } .arit .oitem:last-child { border-bottom: none; } .arit .oitem .n { flex: 0 0 22px; font: 700 11px/1.6 var(--mono); color: var(--bordeaux); } @@ -306,6 +309,7 @@ button.brain-btn:hover, button.brain-btn:focus-visible { transform: scale(1.18); .ai-pop-list .n { color: var(--bordeaux-deep); font-weight: 800; } .roi { margin-top: 14px; border: 1.5px solid var(--bordeaux); background: #faf4f5; border-radius: 8px; padding: 10px 14px; font: 400 13.5px/1.55 var(--sans); color: var(--ink); } +.roi-quiet { border-color: var(--line-strong); border-width: 1px; background: var(--surface-alt); } .roi .k { display: block; margin-bottom: 4px; font: 800 10.5px/1 var(--mono); letter-spacing: .14em; text-transform: uppercase; color: var(--bordeaux-deep); } .ai-pop-x { position: absolute; top: 12px; right: 14px; width: 30px; height: 30px; border: none; diff --git a/presentation/deck/index.html b/presentation/deck/index.html index c52febc3..212e857b 100644 --- a/presentation/deck/index.html +++ b/presentation/deck/index.html @@ -5,7 +5,7 @@ AritmoLab — Role of AI in the Analysis of Unstructured Clinical Databases - +
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Validation

Trusting the text is a process, not a promise

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  • Quality gates — ≥95% procedure classification, ≥85% pathology detection, validated on 100 manually reviewed records
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  • Clinical review — the extracted Brugada cohort was validated by clinicians on Superset dashboards
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  • Feedback loop — ~893 Brugada false positives found and removed in pattern-library v1.3.1
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  • Nothing is silently dropped — negated and family-attributed findings are stored too, filtered only at the mart layer
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Quality gateAn extraction is accepted only after 100 manual reviews confirm the agreed accuracy — the same standard for every new pattern release.
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Quality gates — ≥95% procedure classification, ≥85% pathology detection, validated on 100 manually reviewed records
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Clinical review — the extracted Brugada cohort was validated by clinicians on Superset dashboards
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Feedback loop — ~893 Brugada false positives found and removed in pattern-library v1.3.1
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Nothing is silently dropped — negated and family-attributed findings are stored too, filtered only at the mart layer
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Quality gateAn extraction is accepted only after 100 manual reviews confirm the agreed accuracy — the same standard for every new pattern release.
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The advantage: speed, precision, determinism
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Machine speedtwenty years of letters are read by rules, not by hand; when a pattern improves, the whole archive is rebuilt from the letters themselves
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Audited precisionevery release clears the same gate before production: ≥95% procedure classification, ≥85% pathology detection
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Deterministic by designthe same letter always yields the same values: no LLM sampling, no randomness, every result traceable to a versioned pattern
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Role of AI in the Analysis of Unstructured Clinical DatabasesDr. Marco Pancotti - MultiPhysixLabDr. Sara Paratico - Gruppo San DonatoSan Donato Milanese, Milan, Italy · 2–3 October 202608 / 14