68 posts found
November 2023 Cycle Report
27 Nov. 2023 by Miriam Groeneveld, Paul K. Gerke, Chris van Run, Harm van Zeeland, James Meakin and Anne Mickan
This cycle we continued our work on the client-side pathology viewer. We also implemented a first version of a Intensity-over-time chart feature. For challenge organizers, it is now possible to send messages directly to their participants! Check out the blog for these features and more!
What's up in AI for Radiology - October 2023
1 Nov. 2023 by Kicky van Leeuwen
692 AI products in US for healthcare | RCT for chest XR triage started | products on AIforRadiology declined| ClariPi Inc. added | and more
October 2023 Cycle Report
16 Oct. 2023 by Miriam Groeneveld, Paul K. Gerke, Chris van Run, James Meakin and Harm van Zeeland
In this cycle, we worked on improving the performance of our reader studies, enabled setting the viewing depth of annotations in 3D images, and continued our work on the client-side pathology viewer. One of our team members attended Miccai 2023 to meet with challenge organizers and receive feedback. Read the blog for more details!
What's up in AI for Radiology - September 2023
3 Oct. 2023 by Kicky van Leeuwen
New brain AI product | value of explainability and uncertainty | Milvue and Medimaps MDR compliant | PhD thesis and defense available | and more
What's up in AI for Radiology - August 2023
20 Sept. 2023 by Kicky van Leeuwen
Three new products | breast cancer RCT results | most popular AI solutions | stroke and fracture comparisons | and more
Autumn newsletter 2023
18 Sept. 2023 by Megan Schuurmans, Khrystyna Faryna, Daan Schouten, Chris van Run and Anindo Saha
Welcome to the Autumn Edition of Grand Challenge Insights!
September 2023 Cycle Report
12 Sept. 2023 by Miriam Groeneveld, Chris van Run, Paul K. Gerke and Harm van Zeeland
This cycle, the RSE team dedicated significant efforts to support various MICCAI 2023 challenges. Additionally, we enhanced the Cirrus viewer's usability, enabling seamless switching between different hanging protocols within the viewer. Furthermore, we addressed a prior issue, reinstating the functionality to switch between the polygon and mask editor. In the context of mask creation, we introduced a new feature allowing you to conveniently hide the annotation you're editing for accuracy verification using a straightforward keybinding. Explore our latest blog post for more details!
August 2023 Cycle Report
10 Aug. 2023 by Miriam Groeneveld, Paul K. Gerke and Chris van Run
This cycle the RSE team has started working on a new, experimental feature: Implementing a client-side viewer, for now specifically for pathology images. This should provide a faster, more responsive experience when viewing these images. Furthermore, the GitHub repository integration has been improved and bugs squashed. Challenge organizers can now combine results from different phases to create an overall leaderboard. Finally, we have added support for viewing overlapping semantic segmentations.
July 2023 Cycle Report
13 July 2023 by Miriam Groeneveld and James Meakin
This cycle we have brought some new additions to the reader study questions, check it out!
What's up in AI for Radiology - June 2023
29 June 2023 by Kicky van Leeuwen
AI improves breast cancer prediction | medico-legal considerations | workflow improvement AI finally there? | Veolity MDR compliant | and more
What's up in AI for Radiology - May 2023
31 May 2023 by Kicky van Leeuwen
Residents attitude to AI | another AI vendor bought | AI impact on CXR reading time | value of lung nodule AI | risk of automation bias | and more
May 2023 Cycle Report
30 May 2023 by Miriam Groeneveld
This cycle, the RSE team has made improvements for pathology. It is now possible to upload DICOM-WSI files, they will be converted to tiff. Segmentations as tiff files are now supported and will be validated according to the segmentation interface. The annotation statistics plugin has had an overall make-over, with progress bar and caching improving general usability. Other features include a 3D brush for creating and editing masks, and improvements to the admin page for challenge organizers.
Spring newsletter 2023
25 May 2023 by Megan Schuurmans, Anne Mickan, Kiran Vaidhya Venkadesh, Khrystyna Faryna, Daan Schouten, Gino Jansen and Miriam Groeneveld
As the first rays of spring sunshine warm our faces and the flowers begin to bloom, we are excited to bring you the latest news on the grand challenge ahead.
What's up in AI for Radiology - April 2023
1 May 2023 by Kicky van Leeuwen
Carbon foot print of radiology AI | continuous AI in US coming soon | radiologists overestimate volumes | AI contributing to harm analyzed | and more
April 2023 Cycle Report
26 April 2023 by Chris van Run, Paul K. Gerke and Miriam Groeneveld
Cycle report of the research-software engineers of April 2023, including constrained number inputs, browser-native history support when context switching, and editing annotation metadata
What's up in AI for Radiology - March 2023
13 April 2023 by Kicky van Leeuwen
Three new AI to market | first study Oxipit on autonomous CXR analysis | TeraRecon's platform launched | real-world experiences | and more
March 2023 Cycle Report
20 March 2023 by Chris van Run and Miriam Groeneveld
Cycle report of the research-software engineers of March 2023, including: more statistics on Grand Challenge, updated algorithm-job permissions on Grand Challenge, upgrade the CIRRUS backbone MeVisLab version to v3.6, added a new reader-study workflow for accepting and rejecting findings in both CIRRUS and Grand Challenge.
What's up in AI for Radiology - February 2023
27 Feb. 2023 by Kicky van Leeuwen
MDR extended | incidental PE software | BrainScan upgrade | prospective evidence for lung and stroke AI | AI-physician interaction studied | and more
What's up in AI for Radiology - January 2023
21 Feb. 2023 by Kicky van Leeuwen
What's new in AI for Radiology? Bayer acquires Blackford | spine surgery without CT | AI passing medical exams | (limited) value of AI demonstrated | welcoming Spimed-AI | and more
Winter newsletter 2023
20 Feb. 2023 by Megan Schuurmans, Anne Mickan, Khrystyna Faryna, Kiran Vaidhya Venkadesh, Gino Jansen, Daan Schouten, James Meakin and Miriam Groeneveld
First of all, happy new year from us to you!
January 2023 Cycle Report
15 Feb. 2023 by Miriam Groeneveld
This cycle work was done to make algorithm result viewing faster by reusing Cirrus sessions. We also made it possible to select existing images for trying out an Algorithm, creating a Display Set in Reader Studies and creating Archive Items.
December 2022 Cycle Report
10 Jan. 2023 by Miriam Groeneveld and Chris van Run
In this year's first release, we added the option to reuse existing images to run an algorithm on or create an archive item or display set. Previously this was only possible with the python client. We extended our annotation types with the ellipse annotation, to be used in Reader studies or Algorithms. Under the hood, we are working on improving the viewing of pathology images, making them faster and more error-proof. To improve the reliability and ease of use of the GC-API client, we have added retries to certain requests in the client. This should reduce the number of errors that need to be handled by the user.
What's up in AI for Radiology - December 2022
3 Jan. 2023 by Kicky van Leeuwen
Google Health's next steps | MDR transition extended? | Koios adds thyroid AI | patient opinion on AI | happy holidays | and more
What's up in AI for Radiology - November 2022
12 Dec. 2022 by Kicky van Leeuwen
RSNA notes | Oxipit beyond CXR | MDR for Lunit | three tools validated | new mammo and PET solutions | how to evaluate and govern AI | and more
November 2022 Cycle Report
29 Nov. 2022 by Miriam Groeneveld
A new tool and some bug fixes for the viewer in this cycle, while most effort has gone to the development of Grand Challenge Connect, presented at RSNA! A lot of interesting and exciting developments, so make sure to check out the dedicated blogpost.
A suggestion a day for RSNA
24 Nov. 2022 by Kicky van Leeuwen
The annual meeting of the Radiological Society of America (RSNA) is starting this weekend. We thought of providing you with some of our suggestions. Something different each day, but all on AI in healthcare of course! 😉
Grand Challenge at RSNA 2022
23 Nov. 2022 by James Meakin
Radboudumc will be at RSNA to present the latest developments of Grand Challenge, building on Amazon HealthLake Imaging. Visit us for a hands-on demo at the AWS Booth (6758) between 27-30 November 2022 at McCormick Place in Chicago.
CoNIC Challenge: Pushing state-of-the-art for automatic nuclear recognition
17 Nov. 2022 by Khrystyna Faryna, Simon Graham, Mostafa Jahanifar and Dang Vu
CoNIC Challenge 2022
October 2022 Cycle Report
1 Nov. 2022 by Miriam Groeneveld
A relatively small update as we are working hard on something new and exciting, which will be revealed next cycle!
Autumn Newsletter 2022
1 Nov. 2022 by Megan Schuurmans, Anne Mickan, Daan Schouten, Kiran Vaidhya Venkadesh, Khrystyna Faryna, Gino Jansen and Miriam Groeneveld
Hi all! With this newsletter we want to update you on all progress made for Grand Challenge: upcoming Challenges, interesting new Algorithms and Blogposts, leaderboards of finished Challenges and new features of Grand Challenge.
What's up in AI for Radiology - October 2022
1 Nov. 2022 by Kicky van Leeuwen
New prostate solution launched | Arterys acquired | too little RCTs in AI? | value of saliency maps | and more
When AI meets the TILs: results from the TIGER challenge
24 Oct. 2022 by Francesco Ciompi, Anne Mickan, Megan Schuurmans, Alexander Lemm, Mart van Rijthoven, Leslie Tessier, Witali Aswolinskiy and Bram van Ginneken
Final results from the TIGER challenge.
How to run a challenge? MICCAI webinar on Oct 25th 2022
20 Oct. 2022 by Anne Mickan, Kiran Vaidhya Venkadesh and Bram van Ginneken
The MICCAI Special Interest Group (SIG) for Challenges is hosting a webinar on How to run a challenge? on Oct 25th, 2022 at 1 pm GMT. Bram van Ginneken, Kiran Vaidhya Venkadesh, and Anindo Saha will present how to use Grand Challenge for organizing high-profile challenges. Jake Albrecht from Sage will present tips for challenge organizers on how to define a successful community challenge. Join us! Free registration is available at https://bit.ly/BIAS1025
STOIC2021 results webinar
12 Oct. 2022 by Luuk Boulogne and Bram van Ginneken
On October 18th at 3pm CEST, the winners of STOIC2021 will receive their prizes and present their solutions!
What's up in AI for Radiology - September 2022
29 Sept. 2022 by Kicky van Leeuwen
Oktoberfest meets radiology AI | less residents in radiology? | HeartFlow's FFR-CT unhelpful | welcoming Incepto | and more
September 2022 Cycle Report
26 Sept. 2022 by Miriam Groeneveld
Highlights include the addition of an angle tool, a rotate tool for pathology images and displaying probability scores for annotations.
What's up in AI for Radiology - August 2022
1 Sept. 2022 by Kicky van Leeuwen
Graylight Imaging pivots | clinical use of AI and how to govern it | reimbursement options for AI | welcoming Cerebriu and Visage | and more
August 2022 Cycle Report
22 Aug. 2022 by Miriam Groeneveld
Highlights include the option to send an algorithm result to a reader study, using non-image type values in reader studies, the option to send feedback and more.
June 2022 Cycle Report
8 Aug. 2022 by Miriam Groeneveld, Chris van Run, Harm van Zeeland, James Meakin, Paul K. Gerke and Anne Mickan
Highlights include improvements in type 2 challenge submission workflow, creating non-binary masks, adding static annotations to reader studies and more.
Celebrating 200 products on AI for Radiology
11 July 2022 by Kicky van Leeuwen
It’s time to celebrate! We have reached a milestone of 200 products on our platform AIforRadiology.com, the most comprehensive overview of CE marked artificial intelligence (AI) based products in radiology. Enough reason for giveaways!
Summer Newsletter 2022
8 July 2022 by Megan Schuurmans, Anne Mickan, Kiran Vaidhya Venkadesh, Khrystyna Faryna, Daan Schouten and Joeran Bosma
Hi all! With this newsletter, we want to update you on all progress made for Grand Challenge: upcoming Challenges, interesting new Algorithms, Blogposts, leaderboards of finished Challenges, and new features of Grand Challenge.
May 2022 Cycle Report
5 July 2022 by Miriam Groeneveld, Harm van Zeeland and Chris van Run
Highlights include viewing a reader's answers, providing default answers for questions in a reader study, starting a reader study at a specific display set and more.
What's up in AI for Radiology - June 2022
30 June 2022 by Kicky van Leeuwen
New fracture detection AI | Us2.ai newest player in EU | Scarce pediatric and real-world studies | ESR practical experience survey | and more
What's up in AI for Radiology - May 2022
31 May 2022 by Kicky van Leeuwen
MDR and buying AI - what to consider | MammoScreen, Quantib Prostate and GIQuant next steps | Five validation studies | DECIDE-AI | and more
One year of MDR: 17% of products comply
27 May 2022 by Kicky van Leeuwen
It has been a year since the more stringent Medical Device Regulation (MDR) replaced the former Medical Device Directive (MDD). With two years left on the clock for the 'transition period', only 17% of the AI products for radiology have obtained clearance under the MDR so far. If the market continues at this pace, half of the current CE marked AI products for radiology will not comply in time. The likely consequence is that software will be taken off the market and can no longer be used clinically after May 2024. Does that mean users stop buying MDD compliant AI software? Read about it in this blog!
AIROGS Challenge Report: AI models can be used for glaucoma screening, but do they know when they cannot?
10 May 2022 by Coen de Vente, Bram van Ginneken, Megan Schuurmans, Clarisa Sanchez and Hans Lemij
The rationale behind the Artificial Intelligence for RObust Glaucoma Screening (AIROGS) Challenge, an overview of its results and our experiences with Grand Challenge's new Type 2 challenges.
What's up in AI for Radiology - April 2022
29 April 2022 by Kicky van Leeuwen
Is AI replacing radiologists? | FDA warns for stroke AI | icobrain ms assessed | Welcoming Ligence and BrainTale | and more
Spring Newsletter 2022
11 April 2022 by Megan Schuurmans, Anne Mickan, Joeran Bosma, Kiran Vaidhya Venkadesh, Bram van Ginneken, Khrystyna Faryna and Daan Schouten
Hi all! With this newsletter we want to update you on all progress made for Grand Challenge: new features, interesting new blogposts and algorithms, upcoming challenges and the leaderboards of finished challenges.
What's up in AI for Radiology - March 2022
30 March 2022 by Kicky van Leeuwen
Newsletter anniversary | EU Data Space regulation | FDA clearance for GLEAMER and annalise.ai | Welcoming CASIS, Qynapse, Monitor and Koios | many new validation studies | and more
Can AI predict breast cancer recurrence via automated quantification of tumor-infiltrating lymphocytes?
6 March 2022 by Francesco Ciompi, Anne Mickan, Bram van Ginneken, Alexander Lemm, Roberto Salgado and Megan Schuurmans
TIGER is the first challenge on fully automated assessment of tumor-infiltrating lymphocytes (TILs) in hematoxylin and eosin (H&E) breast cancer histopathology slides. With TIGER, we released a training set of 390 whole-slide images and a total award of $13,000 in AWS Credits, which will be awarded to the winning teams. Together with its participants, we aim to find the best AI-based solutions for automating the assessment of the TILs and produce a “TILs score” that can predict the recurrence of breast cancer.
What's up in AI for Radiology - February 2022
2 March 2022 by Kicky van Leeuwen
Top online courses AI+healthcare | Future Processing becomes Graylight Imaging | business case of AI | welcoming Vara | and more
Learn about AI in healthcare with these online courses
17 Feb. 2022 by Kicky van Leeuwen
Barely anyone working in the field of AI in healthcare received a formal education on the combination of topics. Simply, because with emerging fields, there usually isn’t much formal education yet. However, by now, with the market maturing, more and more educational resources are becoming available for AI in healthcare specifically. Are you looking to bridge that gap between healthcare and AI? This is the place to start!
What's up in AI for Radiology - January 2022
8 Feb. 2022 by Kicky van Leeuwen
MaxQ quits Accipio | Aidence and Quantib acquired | 5x FDA | 10x validation studies | AI act summarised | welcoming Circle NVI and XVision | and more
What's up in AI for Radiology - December 2021
17 Dec. 2021 by Kicky van Leeuwen
Recap 2021 | top searches | best read articles | and happy holidays!
Can you predict who will develop severe COVID-19 from a chest CT scan?
16 Dec. 2021 by Bram van Ginneken, Alexander Lemm, Luuk Boulogne and Anne Mickan
Last week, we opened STOIC2021: A COVID-19 AI challenge with 10,000 CT scans. Together with its participants, we aim to find the best solution for predicting who will develop severe COVID-19 from a chest CT scan. We will make the final solution easily accessible for everyone. In total, $20,000 in AWS Credits will be awarded to the winning teams.
What's up in AI for Radiology - November 2021
30 Nov. 2021 by Kicky van Leeuwen
From double to single read+AI | Market overview in 8 minutes | Good Machine Learning Practice | welcoming DeepTrace and Qubiotech | and more
What's up in AI for Radiology - October 2021
27 Oct. 2021 by Kicky van Leeuwen
What is AI worth? | Two type AI vendors: developers and delivers | Introducing ChestView by GLEAMER | welcoming AIRAmed | and more
Is AI worth its money?
5 Oct. 2021 by Kicky van Leeuwen
In the application of AI in healthcare, there is still a major question to be answered: who is going to pay - and how much - for AI in healthcare? A health technology assessment may help to find out. We applied this method to assess AI for stroke. In this blog, we discuss the results and implications and make the model available for your own use.
What's up in AI for Radiology - September 2021
28 Sept. 2021 by Kicky van Leeuwen
Season of collaborations | first blog | dementia AI compared | welcoming Motilent, Medis Medical Imaging, and AI4MedImaging | and more AI for Radiology news
The origin story of AI for Radiology and a market summary
14 Sept. 2021 by Kicky van Leeuwen
The market of artificial intelligence (AI) software for radiology keeps growing which makes it difficult for pretty much anyone in the field to maintain oversight. That's where AI for Radiology comes in. Read more about what we aim to do, how we do it, and learn what products are on the market today.
What's up in AI for Radiology - August 2021
7 Sept. 2021 by Kicky van Leeuwen
Reimbursement for AI | head-to-head TB study | Qure.ai launches qCT-Lung | welcoming SenseTime, Smart Soft Healthcare, AlgoMedica, and annalise.ai | and more AI for Radiology news
What's up in AI for Radiology - June 2021
7 Sept. 2021 by Kicky van Leeuwen
How to create impact with AI | mdbrain detects brain aneurysms | Improved breast cancer detection | Welcoming Lucida Medical, BrainScan and MaxQ | and more in this newsletter!
What's up in AI for Radiology - May 2021
7 Sept. 2021 by Kicky van Leeuwen
Impact of MDR | Avicenna.ai, NICO.LAB and Arterys launch new features | Videos to 'unbox' AI | Welcoming Deep01 Limited | and more
What's up in AI for Radiology - April 2021
7 Sept. 2021 by Kicky van Leeuwen
Limited evidence of AI products | CE marks for Ultromics, NICO.LAB, and Quantib | WHO advises AI for tuberculosis screening | and more!
What's up in AI for Radiology - March 2021
7 Sept. 2021 by Kicky van Leeuwen
Arterys launches Neuro AI | Quibim and Imbio receive FDA clearance | icometrix' portfolio expands | The MDR explained | AI: To buy or not to buy
AI challenges, data, and algorithms
4 March 2021 by Bram van Ginneken
Presentation by Bram van Ginneken held during the European Congress of Radiology 2021 on the how and why of challenges in medical image analysis.
Why Challenges?
14 Feb. 2021 by Keelin Murphy and Bram van Ginneken
This is an updated version of blog post made years ago when we launched our platform grand-challenge.org. It makes the case for challenges and provides some advice for those interested in setting up their own challenge.
How to build a global, scalable, low-latency, and secure machine learning medical imaging analysis platform on AWS
24 Aug. 2020 by Razvan Ionasec, Bram van Ginneken and James Meakin
It is hard to imagine the future for medical imaging without machine learning (ML) as its central innovation engine. Countless researchers, developers, start-ups, and larger enterprises are engaged in building, training, and deploying machine learning solutions for medical imaging that are posed to transform today’s medical workflows and the future value of imaging in diagnosis and treatment.