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How early diagnostics of lung cancer can lead to better survival rates with Chris Wood

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Manage episode 492049659 series 3526489
Content provided by Sam Parnell & Ivanna Rosendal, Sam Parnell, and Ivanna Rosendal. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sam Parnell & Ivanna Rosendal, Sam Parnell, and Ivanna Rosendal or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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Chris Wood discusses how early diagnostics of lung cancer through artificial intelligence and medical imaging can lead to better survival rates through early intervention.
• Lung cancer takes more lives than breast, prostate and colon cancer combined, with approximately 70% of cases caught at late stages
• The National Lung Screening Trial showed that screening high-risk populations reduced mortality by 20%
• I-ELCAP research demonstrated an 80% twenty-year survival rate for early-stage cancers detected with CT scans and treated surgically
• Preventive healthcare is shifting from general advice to personalized screening protocols based on individual risk factors
• AI applications in medical imaging now assist with detection, characterization, and triage of disease
• Lung biopsies have a 22% complication rate, making non-invasive diagnostic methods particularly valuable
• AI-powered imaging can provide additional information to help clinicians decide whether to perform biopsies
• In clinical trials, AI imaging analysis could improve patient selection and help trials reach endpoints more efficiently
• Medical imaging gives patients visual information about their bodies that can motivate healthier lifestyle changes
• The future of healthcare will likely focus on improving quality of life rather than simply extending lifespan
If you have a suggestion for a guest for our show, reach out to Sam Parnell or Ivanna Rosendal on LinkedIn. You can find more episodes on Apple Podcasts, Spotify, Google Podcasts or in any other player.
Support the show

________
Reach out to Ivanna Rosendal
Join the conversation on our LinkedIn page

  continue reading

Chapters

1. How early diagnostics of lung cancer can lead to better survival rates with Chris Wood (00:00:00)

2. Introducing Transformation in Trials (00:00:19)

3. Early Lung Cancer Diagnosis Focus (00:00:40)

4. State of Lung Cancer Treatment (00:01:24)

5. Understanding Preventive Healthcare (00:05:00)

6. AI Recognition in Lung Cancer Detection (00:08:57)

7. Biopsy Challenges and AI Solutions (00:12:37)

8. Clinical Trial Applications (00:17:36)

9. Early Detection and Healthcare Models (00:20:56)

10. Chris's Journey into Medical Imaging (00:25:32)

11. AI's Impact on Radiology (00:28:48)

12. The Transformation Trials Magic Wand (00:33:53)

80 episodes

Artwork
iconShare
 
Manage episode 492049659 series 3526489
Content provided by Sam Parnell & Ivanna Rosendal, Sam Parnell, and Ivanna Rosendal. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Sam Parnell & Ivanna Rosendal, Sam Parnell, and Ivanna Rosendal or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Send us a text

Chris Wood discusses how early diagnostics of lung cancer through artificial intelligence and medical imaging can lead to better survival rates through early intervention.
• Lung cancer takes more lives than breast, prostate and colon cancer combined, with approximately 70% of cases caught at late stages
• The National Lung Screening Trial showed that screening high-risk populations reduced mortality by 20%
• I-ELCAP research demonstrated an 80% twenty-year survival rate for early-stage cancers detected with CT scans and treated surgically
• Preventive healthcare is shifting from general advice to personalized screening protocols based on individual risk factors
• AI applications in medical imaging now assist with detection, characterization, and triage of disease
• Lung biopsies have a 22% complication rate, making non-invasive diagnostic methods particularly valuable
• AI-powered imaging can provide additional information to help clinicians decide whether to perform biopsies
• In clinical trials, AI imaging analysis could improve patient selection and help trials reach endpoints more efficiently
• Medical imaging gives patients visual information about their bodies that can motivate healthier lifestyle changes
• The future of healthcare will likely focus on improving quality of life rather than simply extending lifespan
If you have a suggestion for a guest for our show, reach out to Sam Parnell or Ivanna Rosendal on LinkedIn. You can find more episodes on Apple Podcasts, Spotify, Google Podcasts or in any other player.
Support the show

________
Reach out to Ivanna Rosendal
Join the conversation on our LinkedIn page

  continue reading

Chapters

1. How early diagnostics of lung cancer can lead to better survival rates with Chris Wood (00:00:00)

2. Introducing Transformation in Trials (00:00:19)

3. Early Lung Cancer Diagnosis Focus (00:00:40)

4. State of Lung Cancer Treatment (00:01:24)

5. Understanding Preventive Healthcare (00:05:00)

6. AI Recognition in Lung Cancer Detection (00:08:57)

7. Biopsy Challenges and AI Solutions (00:12:37)

8. Clinical Trial Applications (00:17:36)

9. Early Detection and Healthcare Models (00:20:56)

10. Chris's Journey into Medical Imaging (00:25:32)

11. AI's Impact on Radiology (00:28:48)

12. The Transformation Trials Magic Wand (00:33:53)

80 episodes

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