Faces of Digital Health
What was said
we put together a very large collaboration with GE Healthcare to really drive forward a huge efficiency change in X-ray and ultrasound applications. And a lot of that is focused around how do we make those procedures more accessible to more people?
“we put together a very large collaboration with GE Healthcare to really drive forward a huge efficiency change in X-ray and ultrasound applications. And a lot of that is focused around how do we make those procedures more accessible to more people?”
David NiewolnyFaces of Digital Health
“in close collaboration with GE Healthcare, we identified this path towards autonomy. How do we begin making these x-ray and ultrasound, which are the most widely used imaging applications, much easier and accessible to more people?”
David NiewolnyFaces of Digital Health
What this signalsWhat leaders say on podcasts often shows their current priorities.
podcast-companyautomationInvestmentGet every podcast signal for GE HealthCare and the companies you sell to, in the tools you already use.
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This page shows a preview. The full podcast-company record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.
Company
linkedin_urlValue in the APIindustriesValue in the APIemployee_count_lowValue in the APIemployee_count_highValue in the APIrevenueValue in the APIdescriptionValue in the APISignal
signal_nameValue in the APIassociationValue in the APIGET /v1/signals/81eb6f4c-f643-5b9c-88ca-3ae466f33687 returns this record as JSON. POST /v1/companies/enrich returns every signal for gehealthcare.com.
{
"signal_id": "81eb6f4c-f643-5b9c-88ca-3ae466f33687",
"signal_type": "podcast-company",
"signal_subtype": "automationInvestment",
"detected_at": "2026-09-27T16:04:47+00:00",
"company": {
"name": "GE HealthCare",
"domain": "gehealthcare.com"
},
"data": {
"is_ad": false,
"quotes": [
"we put together a very large collaboration with GE Healthcare to really drive forward a huge efficiency change in X-ray and ultrasound applications. And a lot of that is focused around how do we make those procedures more accessible to more people?",
"in close collaboration with GE Healthcare, we identified this path towards autonomy. How do we begin making these x-ray and ultrasound, which are the most widely used imaging applications, much easier and accessible to more people?"
],
"timing": "in_progress",
"speaker": "David Niewolny",
"evidence": "we put together a very large collaboration with GE Healthcare to really drive forward a huge efficiency change in X-ray and ultrasound applications. And a lot of that is focused around how do we make those procedures more accessible to more people?",
"headline": "GE Healthcare · automationInvestment · in_progress (2026-09)",
"episode_id": "60830040275",
"event_date": "2026-09",
"podcast_name": "Faces of Digital Health",
"published_at": "2026-09-25",
"episode_title": "What is NVIDIA actually doing in healthcare? (David Niewolny)",
"date_confidence": "inferred",
"speaker_relation": "counterparty",
"transcript_source": "transcript",
"recorded_at_estimate": "2026-09"
}
}
curl https://signals.autobound.ai/v1/signals/81eb6f4c-f643-5b9c-88ca-3ae466f33687 \
-H "X-API-KEY: $AUTOBOUND_API_KEY"curl -X POST https://signals.autobound.ai/v1/companies/enrich \
-H "X-API-KEY: $AUTOBOUND_API_KEY" \
-H "Content-Type: application/json" \
-d '{"domain":"gehealthcare.com","limit":20}'Long text fields are shortened on this page.
Looking up one signal by its id is free. Enrich costs 2 credits per signal returned; a call with no results is free.