@Ahus-AIM

Akershus University Hospital - Artificial Intelligence Medical Informatics

README.md

Artificial Intelligence Medical Informatics

Artificial Intelligence Medical Informatics (AIM) is a research group at Akershus University Hospital.

We conduct research on medical informatics with an emphasis on artificial intelligence and its enabling technology. Research work from AIM that has been released as open source can be found here.

Popular repositories Loading

  1. Open-ECG-Digitizer Open-ECG-DigitizerPublic

    Digitizing Paper ECGs at Scale: An Open-Source Algorithm for Clinical Research

    Jupyter Notebook 102 37

  2. EchoXFlow EchoXFlowPublic

    Tooling for reading and using the EchoXFlow dataset

    Python 12 6

  3. ecg-image-kit ecg-image-kitPublic

    Forked from alphanumericslab/ecg-image-kit

    A toolkit for analysis, synthesis, and digitization of electrocardiogram images

    Python 4 1

  4. FLARE25 FLARE25Public

    The official implementation of Lite ENSAM, a lightweight cancer segmentation model for 3D Computed Tomography.

    Python 3 1

  5. Heart-Failure-Detection Heart-Failure-DetectionPublic

    Contains the model described in the article "Heart failure detection in electrocardiograms using artificial intelligence and pragmatic labelling"

    Python 3 2

  6. physionet-challenge-2025 physionet-challenge-2025Public

    Detection of Chagas Disease from the ECG: The George B. Moody PhysioNet Challenge 2025

    Python 1

Repositories

Showing 10 of 11 repositories
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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@Ahus-AIM

Akershus University Hospital - Artificial Intelligence Medical Informatics

README.md
Artificial Intelligence Medical Informatics
Artificial Intelligence Medical Informatics (AIM) is a research group at Akershus University Hospital.
We conduct research on medical informatics with an emphasis on artificial intelligence and its enabling technology. Research work from AIM that has been released as open source can be found here.

Popular repositories
Loading
  1. 
Open-ECG-Digitizer
Open-ECG-DigitizerPublic
    
Digitizing Paper ECGs at Scale: An Open-Source Algorithm for Clinical Research

    Jupyter Notebook
102

37

  2. 
EchoXFlow
EchoXFlowPublic
    
Tooling for reading and using the EchoXFlow dataset

    Python
12

6

  3. 
ecg-image-kit
ecg-image-kitPublic
    
Forked from alphanumericslab/ecg-image-kit
    
A toolkit for analysis, synthesis, and digitization of electrocardiogram images

    Python
4

1

  4. 
FLARE25
FLARE25Public
    
The official implementation of Lite ENSAM, a lightweight cancer segmentation model for 3D Computed Tomography.

    Python
3

1

  5. 
Heart-Failure-Detection
Heart-Failure-DetectionPublic
    
Contains the model described in the article "Heart failure detection in electrocardiograms using artificial intelligence and pragmatic labelling"

    Python
3

2

  6. 
physionet-challenge-2025
physionet-challenge-2025Public
    
Detection of Chagas Disease from the ECG: The George B. Moody PhysioNet Challenge 2025

    Python
1


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Showing 10 of 11 repositories
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
@Ahus-AIM

Akershus University Hospital - Artificial Intelligence Medical Informatics

README.md
Artificial Intelligence Medical Informatics
Artificial Intelligence Medical Informatics (AIM) is a research group at Akershus University Hospital.
We conduct research on medical informatics with an emphasis on artificial intelligence and its enabling technology. Research work from AIM that has been released as open source can be found here.

Popular repositories
Loading
  1. 
Open-ECG-Digitizer
Open-ECG-DigitizerPublic
    
Digitizing Paper ECGs at Scale: An Open-Source Algorithm for Clinical Research

    Jupyter Notebook
102

37

  2. 
EchoXFlow
EchoXFlowPublic
    
Tooling for reading and using the EchoXFlow dataset

    Python
12

6

  3. 
ecg-image-kit
ecg-image-kitPublic
    
Forked from alphanumericslab/ecg-image-kit
    
A toolkit for analysis, synthesis, and digitization of electrocardiogram images

    Python
4

1

  4. 
FLARE25
FLARE25Public
    
The official implementation of Lite ENSAM, a lightweight cancer segmentation model for 3D Computed Tomography.

    Python
3

1

  5. 
Heart-Failure-Detection
Heart-Failure-DetectionPublic
    
Contains the model described in the article "Heart failure detection in electrocardiograms using artificial intelligence and pragmatic labelling"

    Python
3

2

  6. 
physionet-challenge-2025
physionet-challenge-2025Public
    
Detection of Chagas Disease from the ECG: The George B. Moody PhysioNet Challenge 2025

    Python
1


Repositories

Showing 10 of 11 repositories
View all repositories
Top languages
Loading…
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Loading…

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
@Ahus-AIM

Akershus University Hospital - Artificial Intelligence Medical Informatics

README.md
Artificial Intelligence Medical Informatics
Artificial Intelligence Medical Informatics (AIM) is a research group at Akershus University Hospital.
We conduct research on medical informatics with an emphasis on artificial intelligence and its enabling technology. Research work from AIM that has been released as open source can be found here.

Popular repositories
Loading
  1. 
Open-ECG-Digitizer
Open-ECG-DigitizerPublic
    
Digitizing Paper ECGs at Scale: An Open-Source Algorithm for Clinical Research

    Jupyter Notebook
102

37

  2. 
EchoXFlow
EchoXFlowPublic
    
Tooling for reading and using the EchoXFlow dataset

    Python
12

6

  3. 
ecg-image-kit
ecg-image-kitPublic
    
Forked from alphanumericslab/ecg-image-kit
    
A toolkit for analysis, synthesis, and digitization of electrocardiogram images

    Python
4

1

  4. 
FLARE25
FLARE25Public
    
The official implementation of Lite ENSAM, a lightweight cancer segmentation model for 3D Computed Tomography.

    Python
3

1

  5. 
Heart-Failure-Detection
Heart-Failure-DetectionPublic
    
Contains the model described in the article "Heart failure detection in electrocardiograms using artificial intelligence and pragmatic labelling"

    Python
3

2

  6. 
physionet-challenge-2025
physionet-challenge-2025Public
    
Detection of Chagas Disease from the ECG: The George B. Moody PhysioNet Challenge 2025

    Python
1


Repositories

Showing 10 of 11 repositories
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Top languages
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
@Ahus-AIM

Akershus University Hospital - Artificial Intelligence Medical Informatics

README.md
Artificial Intelligence Medical Informatics
Artificial Intelligence Medical Informatics (AIM) is a research group at Akershus University Hospital.
We conduct research on medical informatics with an emphasis on artificial intelligence and its enabling technology. Research work from AIM that has been released as open source can be found here.

Popular repositories
Loading
  1. 
Open-ECG-Digitizer
Open-ECG-DigitizerPublic
    
Digitizing Paper ECGs at Scale: An Open-Source Algorithm for Clinical Research

    Jupyter Notebook
102

37

  2. 
EchoXFlow
EchoXFlowPublic
    
Tooling for reading and using the EchoXFlow dataset

    Python
12

6

  3. 
ecg-image-kit
ecg-image-kitPublic
    
Forked from alphanumericslab/ecg-image-kit
    
A toolkit for analysis, synthesis, and digitization of electrocardiogram images

    Python
4

1

  4. 
FLARE25
FLARE25Public
    
The official implementation of Lite ENSAM, a lightweight cancer segmentation model for 3D Computed Tomography.

    Python
3

1

  5. 
Heart-Failure-Detection
Heart-Failure-DetectionPublic
    
Contains the model described in the article "Heart failure detection in electrocardiograms using artificial intelligence and pragmatic labelling"

    Python
3

2

  6. 
physionet-challenge-2025
physionet-challenge-2025Public
    
Detection of Chagas Disease from the ECG: The George B. Moody PhysioNet Challenge 2025

    Python
1


Repositories

Showing 10 of 11 repositories
View all repositories
Top languages
Loading…
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Loading…

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
@Ahus-AIM

Akershus University Hospital - Artificial Intelligence Medical Informatics

README.md
Artificial Intelligence Medical Informatics
Artificial Intelligence Medical Informatics (AIM) is a research group at Akershus University Hospital.
We conduct research on medical informatics with an emphasis on artificial intelligence and its enabling technology. Research work from AIM that has been released as open source can be found here.

Popular repositories
Loading
  1. 
Open-ECG-Digitizer
Open-ECG-DigitizerPublic
    
Digitizing Paper ECGs at Scale: An Open-Source Algorithm for Clinical Research

    Jupyter Notebook
102

37

  2. 
EchoXFlow
EchoXFlowPublic
    
Tooling for reading and using the EchoXFlow dataset

    Python
12

6

  3. 
ecg-image-kit
ecg-image-kitPublic
    
Forked from alphanumericslab/ecg-image-kit
    
A toolkit for analysis, synthesis, and digitization of electrocardiogram images

    Python
4

1

  4. 
FLARE25
FLARE25Public
    
The official implementation of Lite ENSAM, a lightweight cancer segmentation model for 3D Computed Tomography.

    Python
3

1

  5. 
Heart-Failure-Detection
Heart-Failure-DetectionPublic
    
Contains the model described in the article "Heart failure detection in electrocardiograms using artificial intelligence and pragmatic labelling"

    Python
3

2

  6. 
physionet-challenge-2025
physionet-challenge-2025Public
    
Detection of Chagas Disease from the ECG: The George B. Moody PhysioNet Challenge 2025

    Python
1


Repositories

Showing 10 of 11 repositories
View all repositories
Top languages
Loading…
Most used topics
Loading…

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
@Ahus-AIM

Akershus University Hospital - Artificial Intelligence Medical Informatics

README.md
Artificial Intelligence Medical Informatics
Artificial Intelligence Medical Informatics (AIM) is a research group at Akershus University Hospital.
We conduct research on medical informatics with an emphasis on artificial intelligence and its enabling technology. Research work from AIM that has been released as open source can be found here.

Popular repositories
Loading
  1. 
Open-ECG-Digitizer
Open-ECG-DigitizerPublic
    
Digitizing Paper ECGs at Scale: An Open-Source Algorithm for Clinical Research

    Jupyter Notebook
102

37

  2. 
EchoXFlow
EchoXFlowPublic
    
Tooling for reading and using the EchoXFlow dataset

    Python
12

6

  3. 
ecg-image-kit
ecg-image-kitPublic
    
Forked from alphanumericslab/ecg-image-kit
    
A toolkit for analysis, synthesis, and digitization of electrocardiogram images

    Python
4

1

  4. 
FLARE25
FLARE25Public
    
The official implementation of Lite ENSAM, a lightweight cancer segmentation model for 3D Computed Tomography.

    Python
3

1

  5. 
Heart-Failure-Detection
Heart-Failure-DetectionPublic
    
Contains the model described in the article "Heart failure detection in electrocardiograms using artificial intelligence and pragmatic labelling"

    Python
3

2

  6. 
physionet-challenge-2025
physionet-challenge-2025Public
    
Detection of Chagas Disease from the ECG: The George B. Moody PhysioNet Challenge 2025

    Python
1


Repositories

Showing 10 of 11 repositories
View all repositories
Top languages
Loading…
Most used topics
Loading…

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
@Ahus-AIM

Akershus University Hospital - Artificial Intelligence Medical Informatics

README.md
Artificial Intelligence Medical Informatics
Artificial Intelligence Medical Informatics (AIM) is a research group at Akershus University Hospital.
We conduct research on medical informatics with an emphasis on artificial intelligence and its enabling technology. Research work from AIM that has been released as open source can be found here.

Popular repositories
Loading
  1. 
Open-ECG-Digitizer
Open-ECG-DigitizerPublic
    
Digitizing Paper ECGs at Scale: An Open-Source Algorithm for Clinical Research

    Jupyter Notebook
102

37

  2. 
EchoXFlow
EchoXFlowPublic
    
Tooling for reading and using the EchoXFlow dataset

    Python
12

6

  3. 
ecg-image-kit
ecg-image-kitPublic
    
Forked from alphanumericslab/ecg-image-kit
    
A toolkit for analysis, synthesis, and digitization of electrocardiogram images

    Python
4

1

  4. 
FLARE25
FLARE25Public
    
The official implementation of Lite ENSAM, a lightweight cancer segmentation model for 3D Computed Tomography.

    Python
3

1

  5. 
Heart-Failure-Detection
Heart-Failure-DetectionPublic
    
Contains the model described in the article "Heart failure detection in electrocardiograms using artificial intelligence and pragmatic labelling"

    Python
3

2

  6. 
physionet-challenge-2025
physionet-challenge-2025Public
    
Detection of Chagas Disease from the ECG: The George B. Moody PhysioNet Challenge 2025

    Python
1


Repositories

Showing 10 of 11 repositories
View all repositories
Top languages
Loading…
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Loading…