Row 17080

Row ID: 17080 | Dataset Entry | Axioma AXP Content Repository

Content Data

This page contains data entry 17080 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

AI models for medical imaging are in many clinics now. However, the first step has been to automate the boring stuff, eg tumor segmentation, which could take a doctor 2 hours but with AI is normally reduced to less than half the time to check and edit. While these are being adopted (and the effects of adoption are being studied), more ambitious models that not only automate work, but try to make treatment decisions are being developed.

It will take a while for things to be implemented, but IMO we are just scratching the surface in terms of opportunities. However, as always, the majority of discoveries aren't immediate game-changers, but just slow, incremental progress that builds up over time.

FieldValue
text AI models for medical imaging are in many clinics now. However, the first step has been to automate the boring stuff, eg tumor segmentation, which could take a doctor 2 hours but with AI is normally reduced to less than half the time to check and edit. While these are being adopted (and the effects of adoption are being studied), more ambitious models that not only automate work, but try to make treatment decisions are being developed. It will take a while for things to be implemented, but…
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-20
username_encoded Z0FBQUFBQm5Lakw5ODk0Z0JlbVYzZVJ6aGlWc0lvNnpQQnBiWGF3ZERfdlBDTXdBMWFqMTVhNmdQd2l4S2FHc2dnVXg5cjZhYzdSRE5wclJpaG1QMFNFOS10MHRDWk1TdlE9PQ==
url_encoded Z0FBQUFBQm5Lak9NMG1fTmthbzdiLWhEV2JPUGZCUkZDVkJpUnU5SFh6cHZOb05vcUlBSE1GNV90dnk2a1lkaU9zRGtTazd5REREaDZOOHlDUkRTekowV0NZMkQzNlZ0TWMxMzNneGh2eXdsaFFWbXQzMTVuN3FFLXRTRnJGMGF3NEdhME9qYmRuV2pkVEtYaHBpS2lHZkpGaVlZS3kxTlZveldWSTQwaWh0UnVvS0tfd3dDZ3BoTl9nTDdXTHRZcUtqdEpkeEd1NFQwNzdXX0tzMElYdmhfNTF6bFBkZWVsSkxMWDAwVmxDRDY4ay1zaGlNalNYOD0=

Raw Record

{
  "text": "AI models for medical imaging are in many clinics now.  However, the first step has been to automate the boring stuff, eg tumor segmentation, which could take a doctor 2 hours but with AI is normally reduced to less than half the time to check and edit.    While these are being adopted (and the effects of adoption are being studied), more ambitious models that not only automate work, but try to make treatment decisions are being developed. \n\nIt will take a while for things to be implemented, but IMO we are just scratching the surface in terms of opportunities.  However, as always, the majority of discoveries aren't immediate game-changers, but just slow, incremental progress that builds up over time.",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-20",
  "username_encoded": "Z0FBQUFBQm5Lakw5ODk0Z0JlbVYzZVJ6aGlWc0lvNnpQQnBiWGF3ZERfdlBDTXdBMWFqMTVhNmdQd2l4S2FHc2dnVXg5cjZhYzdSRE5wclJpaG1QMFNFOS10MHRDWk1TdlE9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9NMG1fTmthbzdiLWhEV2JPUGZCUkZDVkJpUnU5SFh6cHZOb05vcUlBSE1GNV90dnk2a1lkaU9zRGtTazd5REREaDZOOHlDUkRTekowV0NZMkQzNlZ0TWMxMzNneGh2eXdsaFFWbXQzMTVuN3FFLXRTRnJGMGF3NEdhME9qYmRuV2pkVEtYaHBpS2lHZkpGaVlZS3kxTlZveldWSTQwaWh0UnVvS0tfd3dDZ3BoTl9nTDdXTHRZcUtqdEpkeEd1NFQwNzdXX0tzMElYdmhfNTF6bFBkZWVsSkxMWDAwVmxDRDY4ay1zaGlNalNYOD0="
}
Explore Dataset Explore Row

Entry Information