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The promise and challenge of using AI for lung cancer detection

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Manage episode 263883830 series 2342257
Kandungan disediakan oleh Milliman, Inc.. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Milliman, Inc. atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

Artificial intelligence (AI) along with low-dose CT scans hold promise for the early detection of lung cancer, but there are challenges that come with scaling up this new technology. In this episode of Critical Point, Milliman’s Bruce Pyenson is joined by Jim Mulshine, a thoracic medical oncologist who spent 25 years at the National Cancer Institute and is now with Rush Medical Center. He outlines the promise AI holds in sifting through the reams of digital information from a CT scan to efficiently evaluate results and detect a myriad of diseases. But challenges in data quality and standardization must be addressed if the tool is to be used on a national or global level.
You can read the episode transcript on our website.

  continue reading

54 episod

Artwork
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Manage episode 263883830 series 2342257
Kandungan disediakan oleh Milliman, Inc.. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Milliman, Inc. atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

Artificial intelligence (AI) along with low-dose CT scans hold promise for the early detection of lung cancer, but there are challenges that come with scaling up this new technology. In this episode of Critical Point, Milliman’s Bruce Pyenson is joined by Jim Mulshine, a thoracic medical oncologist who spent 25 years at the National Cancer Institute and is now with Rush Medical Center. He outlines the promise AI holds in sifting through the reams of digital information from a CT scan to efficiently evaluate results and detect a myriad of diseases. But challenges in data quality and standardization must be addressed if the tool is to be used on a national or global level.
You can read the episode transcript on our website.

  continue reading

54 episod

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