Quantib B.V.

Quantib in de spotlights als trotse genomineerde in de MKB Innovatie Top 100!

Software voor vroegere en meer accurate diagnose van ouderdomsziekten. De kunstmatige intelligentie software van Quantib B.V. analyseert MRI-scans van de hersenen. Deze analyse helpt bij het stellen van de diagnose Alzheimer of MS en bij het volgen van het ziekte-/behandelproces. Een innovatie uit de MKB Innovatie Top 100 2018: http://bit.ly/2v7Qpxv

"... promises to change the landscape of modern clinical , so it will be necessary to keep up with developments." How do you make sure you stay up to date with the latest advancements? https://t.co/ukvvImkqup

Computer scientists may hold trump cards in AI's future Unlike traditional areas of research that require clinician supervision, investigations of artificial intelligence (AI) imaging are likely to be driven by computer scientists, and this may restrict the input of radiologists and sit uncomfortably with them, writes Dr. Simon Wong.

Early detection of brain , what are the signs? And how can help? Read about it in our new blog post!

Early Signs of Brain Ischemia on CT and MR; Can AI Lend a Helping Hand? Early signs of a stroke on CT and MRI are not straightforward to interpret using the naked eye. Artificial intelligence radiology software could support the radiologists by quantifying imaging biomarkers and removing inter-observer variance.

Impressive research at using to figure out the fewest and smallest doses of medication that could still be effective to treat .

By studying patient data, A.I. can limit toxicity in cancer treatment In a bid to improve quality of life for cancer patients, a team of researchers at the Massachusetts Institute of Technology have turned to machine learning to help avoid toxicity from cancer medications. The researchers are specifically targeting glioblastoma, the most aggressive form of brain cance...

“Delays in results 'affecting patient care', e.g. due to shortage of radiologists”, a conclusion of the Suggested solution: national reporting standards. But will this be feasible with increasing workload of radiologists?

X-ray result delays 'affect patient care' The health regulator found huge variations in the time taken to report on radiology examinations.

How will providers be reimbursed for investing in ? The answer surely has strong implications for how fast radiologists will adopt AI software. What do you think would make most sense?

How will radiology providers be reimbursed for investing in AI? Countless studies have explored the colossal impact artificial intelligence (AI) will have—and, in many ways, is already having—on radiology. But who is ultimately going to pay for it?

Researchers of the were able to detect early with an accuracy of 84%: the power of a database of 26,483 patients.

Dementia could be detected via routinely collected data, new research shows A new machine-learning model that scans routinely collected NHS data has shown promising signs of being able to predict undiagnosed dementia in primary...

For patients ". To make sure we use that precious time in the right way, we are working together with on software to better predict treatment outcomes. [in Dutch]

8 onderzoeken naar hartziekten en beroerte van start | Hartstichting De Hartstichting investeert in 8 nieuwe onderzoeken. Hierbij werken de onderzoekers samen met bedrijven aan innovaties.

What do you do when you don't have enough to train your ? You build a neural network to create "artificial images" and train on those!

AI algorithm generates 'artificial' medical images Researchers from Canada have developed an artificial intelligence (AI) algorithm capable of generating "artificial" x-ray images that look just like the real thing. The artificial images can be used to train other AI algorithms in analyzing real medical images.

We're hiring! Looking for a job in events organizing and excited about healthtech? Check out our vacancy!

Vacancies | Events Coordinator | Quantib Looking for a job in events organizing and are you excited about the field of medical image analysis? Check out our vacancies.

Interesting article on stating that radiologists should do more to defend their seat at the “ table”. How do think radiologists can (further) expand their role beyond the diagnosis process?

Precision medicine saves a seat for imaging expertise Genetics-based care nudges radiologists to shed their skin as discrete dispensers of diagnoses and grow as vital co-planners of treatment.

will strongly influence the practical reality of . Many opportunities arise, but there are also challenges we need to overcome. Read 's blogpost to learn more at https://t.co/TN75RJIxBS

Deep learning: its potential and challenges in radiology AI Medical image analysis Deep Learning is rapidly gaining ground. Research groups increasingly apply Deep Learning, and radiology AI companies are starting to implement the first Deep Learning software meant for practical use in the clinics.