David Torgerson on Muck Rack

David Torgerson

As seen in: Prairie Grains Magazine, Memory Studies, CIO, DZone, iTWire, F1000Research, Springer Professional, APM Digest, Annals of Vascular Surgery, ITOps Times, Business Daily Media and
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Articles

Machine learning models in the prediction of adverse outcomes in peripheral arterial disease: meta-analysis.

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By Bharadhwaj Ravindhran, Shahani Nazir, Laila Ubhi, Ross Lathan, Sean Pymer, George Smith, Daniel Carradice, Ian Chetter, David Torgerson, Alex Mitchell, Laila Ubhi
| Annals of Vascular Surgery
Keywords Peripheral arterial disease machine learning Outcome prediction Odds ratio cardiovascular diseases Introduction Peripheral arterial disease (PAD), a marker of systemic atherosclerosis, is strongly associated with increased cardiovascular risk.
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How Legacy Friction Strangles AI-Driven DevOps

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By David Torgerson
| APM Digest
Organizations are discovering that AI performance reflects the health of their core systems as pilots move into production. Whether organizations realize it or not, they are already somewhere on the AI maturity curve — progressing from fragmented AI use to aggregated consumption, contextual processing, logic execution, and ultimately strategic transformation.
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Why Legacy Modernization is the Mandatory Prerequisite for AI

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By David Torgerson
| ITOps Times
AI adoption is accelerating across industries, but most organizations are failing to realize its full potential. According to Lucid’s AI Readiness Report, only 26% of organizations that have implemented AI agents rate them as completely successful. The difference between companies with successful AI implementation and those that struggle lies in the foundation upon which it’s built.
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See all 25 licensed articles (29 Total)

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