{
  "topic": {
    "id": 733343,
    "title": "Knee Abnormality Detection AI Challenge Overview",
    "authorName": "Po-Hao \"Howard\" Chen",
    "commentCount": 12,
    "votes": 80,
    "postDate": "2026-08-06T15:54:27.876000"
  },
  "comments": [
    {
      "id": 3511105,
      "authorName": "Omar M Kamel",
      "votes": 7,
      "postDate": "2026-08-10T12:14:23.900000",
      "content": "<p>For the train.csv. It contains only 58 flagged labels. Rest are NaN.\nThose flags do not reflect what is the report. \nDoes the reports are the GT?</p>"
    },
    {
      "id": 3511315,
      "authorName": "Ragheb haddara",
      "votes": 4,
      "postDate": "2026-08-10T21:41:22.047000",
      "content": "<p>Thanks for the overview! For anyone getting started, the key insight is that this is a multi-label classification problem — each study can have multiple abnormalities present simultaneously. The 12 abnormality categories each need their own probability prediction.</p>"
    },
    {
      "id": 3520674,
      "authorName": "Marie Victoire IPOUK",
      "votes": 0,
      "postDate": "2026-09-03T21:34:49.027000",
      "content": "<p>this details are very important. Thank you</p>"
    },
    {
      "id": 3520341,
      "authorName": "cm391",
      "votes": 0,
      "postDate": "2026-09-03T06:53:18.723000",
      "content": "<p>Hi <a href=\"https://www.kaggle.com/javaduke95\" target=\"_blank\">@javaduke95</a> - thank you offering such clear explanation to competitors. can i clarify the below in the label description section: should \"the same criteria applied\" read medial meniscus rather than lateral meniscus?</p>\n<blockquote>\n  <p>Medial meniscus tear: Abnormal signal that definitely contacts the meniscal surface on at least two images, or a morphologic abnormality such as a truncated, diminutive, or displaced fragment, involving the medial meniscus. Intrasubstance degeneration that does not reach the surface is negative.</p>\n  <p>Lateral meniscus tear: The same criteria applied to the lateral meniscus.</p>\n</blockquote>"
    },
    {
      "id": 3514025,
      "authorName": "Oscar Yáñez Feijóo",
      "votes": 0,
      "postDate": "2026-08-18T09:20:21.520000",
      "content": "<p>Great overview. The combination of multi-label MRI classification, multilingual reports, and clinically adjudicated labels makes this a particularly interesting multimodal challenge. Has anyone found the report text to add a clear advantage over image-only models?</p>"
    },
    {
      "id": 3510901,
      "authorName": "Nancy Nardelli",
      "votes": 0,
      "postDate": "2026-08-09T20:03:03.927000",
      "content": "<p>Gracias por los conocimientos!</p>"
    },
    {
      "id": 3510626,
      "authorName": "Suraj P. Patil",
      "votes": 0,
      "postDate": "2026-08-09T05:44:24.423000",
      "content": "<p>many Thanks !</p>"
    },
    {
      "id": 3510554,
      "authorName": "Pranav Jain",
      "votes": 0,
      "postDate": "2026-08-08T21:26:43.573000",
      "content": "<p>thank you so much for the detailed anatomical explanations!</p>"
    },
    {
      "id": 3523462,
      "authorName": "Ahsan Bin Hasan Pasha",
      "votes": 0,
      "postDate": "2026-09-11T16:24:51.620000",
      "content": "<p>many Thanks !</p>"
    },
    {
      "id": 3523356,
      "authorName": "Bhargav",
      "votes": 0,
      "postDate": "2026-09-11T09:10:34.307000",
      "content": "<p>Thank you for the details.</p>"
    },
    {
      "id": 3510882,
      "authorName": "Hüseyin Yıldırım",
      "votes": 0,
      "postDate": "2026-08-09T18:36:30.903000",
      "content": "<p>Thank you for sharing this knowledge.</p>"
    },
    {
      "id": 3510482,
      "authorName": "Mohamed Samir",
      "votes": 0,
      "postDate": "2026-08-08T16:36:50.503000",
      "content": "<p>Many thanks</p>"
    }
  ],
  "index": {
    "id": "733343",
    "title": "Knee Abnormality Detection AI Challenge Overview",
    "authorName": "",
    "commentCount": "12",
    "votes": "81",
    "postDate": "2026-08-06 15:54:27.876000"
  },
  "competition": "rsna-knee-abnormality-detection"
}