| AI tool helps diagnose cancer 30% faster |
![]() |
| In radiology, a new AI tool is helping fill the gap left by a shortage of radiologists to read CT scans. It’s also helping to improve early detection and get diagnosis data to patients faster. It’s not by replacing skilled medical professionals, but assisting them. |
| The breakthrough came at the University of Tartu in Estonia, where computer scientists, radiologists, and medical professionals collaborated on a study published in the journal Nature. |
| The tool, called BMVision, uses deep learning to detect and assess kidney cancer. AI startup Better Medicine is commercializing the software. |
| “Kidney cancer is one of the most common cancers of the urinary system. It is typically identified using … [CT] scans, which are carefully reviewed by radiologists. However, there are not enough radiologists, and the demand for scans is growing. This makes it more challenging to provide patients with fast and accurate results,” said Dmytro Fishman, co-founder of Better Medicine, and one of the authors of the study. |
| Here’s how the study worked: |
| The AI software was tested by a team of six radiologists on a total of 2,400 scans. Each radiologist used BMVision to help interpret 200 CT scans. Each scan was measured twice: once with AI and once without. Accuracy, reporting times and inter-radiologist agreement were compared. Using the AI software reduced the time to identify, measure, and report malignant lesions by 30%. The time for radiologists to read scans was reduced by 33% on average, and as much as 52% in some cases. Auto-generated reports significantly reduced the time for typing and dictation. Use of the tool improved sensitivity by about 6%, leading to greater accuracy and agreement between radiologists. The study said AI wouldn’t replace radiologists but would become a valuable assistant |
| In the journal article, the authors of the study concluded, “We found that BMVision enables radiologists to work more efficiently and consistently. Tools like BMVision can help patients by making cancer diagnosis faster, more reliable, and more widely available.” |
![]() |
| Completely separate from one another, I had two friends in 2025 who had a tumor that needed to be scanned. In both cases, they had the scan done but had to wait weeks before their medical team could read and interpret the results. They each downloaded the raw test data from their chart and fed it into ChatGPT. In both cases, the information the AI provided was nearly identical to what they eventually received from their medical provider. AI certainly can’t replace medical professionals, but if it can make them faster, more responsive, and more accurate, it would be a huge win. |
-
Archives
- December 2025
- November 2025
- October 2025
- September 2025
- August 2025
- July 2025
- June 2025
- May 2025
- April 2025
- March 2025
- February 2025
- January 2025
- December 2024
- November 2024
- October 2024
- September 2024
- August 2024
- July 2024
- June 2024
- May 2024
- April 2024
- March 2024
- February 2024
- January 2024
- December 2023
- November 2023
- October 2023
- September 2023
- August 2023
- July 2023
- June 2023
- May 2023
- April 2023
- March 2023
- February 2023
- January 2023
- December 2022
- November 2022
- October 2022
- September 2022
- August 2022
- July 2022
- June 2022
- May 2022
- April 2022
- March 2022
- February 2022
- January 2022
- September 2021
- August 2021
- July 2021
- June 2021
- May 2021
- April 2021
- February 2021
- January 2021
- December 2020
- November 2020
- October 2020
- September 2020
- August 2020
- July 2020
- June 2020
- May 2020
- April 2020
- March 2020
- February 2020
- January 2020
- December 2019
- November 2019
- October 2019
- September 2019
- August 2019
- July 2019
- June 2019
- May 2019
- April 2019
- March 2019
- February 2019
- January 2019
- December 2018
- November 2018
- October 2018
- September 2018
- July 2018
- June 2018
- May 2018
- April 2018
- March 2018
- February 2018
- January 2018
- December 2017
- November 2017
- October 2017
- September 2017
- August 2017
- July 2017
- June 2017
- May 2017
- April 2017
- March 2017
- February 2017
- January 2017
- December 2016
- November 2016
- October 2016
- September 2016
- August 2016
- July 2016
- June 2016
- May 2016
- April 2016
- March 2016
- February 2016
- January 2016
- December 2015
- November 2015
- October 2015
- September 2015
- August 2015
- July 2015
- June 2015
- May 2015
- March 2015
- January 2015
-
Meta

