content — AIM

Highest Cited Researcher Award

Web of Science awards AIM researcher as among the top highest cited scientists worldwide.

newsai medicineMay 5, 20222022hugo-aerts

Global application of AI-based Medical Devices

Together with the WHO we defined a framework for the global application of AI-based Medical Devices.

newsai medicineNovember 29, 20212021hugo-aerts, danielle-bitterman

Estimate your Biological Age from X-rays

In this paper we demonstrate that deep learning applied to x-rays can be used as a new biomarker source.

publicationai medicineNovember 1, 20212021ai, hugo-aerts, udo-hoffmann, michael-lu, jakob-weiss, vineet-raghu

Artificial Intelligence for Clinical Oncology

In Cancer Cell, we published our perspective on the impact of AI in Clinical Oncology.

publicationai medicineJuly 23, 20212021ai, hugo-aerts, ahmed-hosny, benjamin-kann

PyRadiomics: Python Package for Radiomic Analyses

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks

techai medicineMarch 26, 20212021ai, hugo-aerts

DeepCAC: Deep learning Pipeline to predict heart disease.

As Published in Nature Comm, we developed a deep learning pipeline to automatically predict cardiovascular events by quantifying coronary calcium on CT scans.

techai medicineFebruary 8, 20212021ai, hugo-aerts, roman-zeleznik, udo-hoffmann, michael-lu, borek-foldyna, jakob-weiss

Deep learning prediction of heart disease

In Nature Comm, we show that deep learning can automatically predict cardiovascular events.

publicationai medicineJanuary 29, 20212021ai, hugo-aerts, roman-zeleznik, udo-hoffmann, michael-lu, borek-foldyna, jakob-weiss

New faculty member joins AIM

Danielle Bitterman joins AIM to start a new laboratory in natural language processing using AI.

newsai medicineJanuary 20, 20212021

DeepHeart: Deep learning based heart segmentation

We developed several heart segmentation algorithms that work on gated and non-gated CT scans.

tech, publicationai medicineJanuary 4, 20212021ai, hugo-aerts, roman-zeleznik, udo-hoffmann, michael-lu, borek-foldyna, jakob-weiss

Deep Learning Quantification of CVD

In Nature Reviews Clinical Oncology, we highlight how AI is transforming the field of radiation oncology to treat patients more accurately and efficiently.

ai medicineDecember 17, 20202020

Scientific American: Will AI live up to its hype?

Scientific American discusses the hype in AI and highlights study from AIM.

newsai medicineDecember 7, 20202020ahmed-hosny, hugo-aerts, ai

AI is wrestling with a replication crisis

MIT Technology Review highlights our article published in Nature about transparent AI.

newsai medicineNovember 13, 20202020ahmed-hosny, hugo-aerts, radiology, oncology

Reproducibility and Transparency in AI

AIM investigators describe their view on AI reproducibility and transparency.

publicationai medicineOctober 14, 20202020ai, hugo-aerts, ahmed-hosny

Deep Learning can improve Lung Cancer Screening

An automated deep-learning approach based on chest x-rays can improve lung cancer screening.

publicationai medicineSeptember 1, 20202020ai, hugo-aerts, michael-lu, udo-hoffmann, vineet-raghu

Defining autonomy in medical AI

In The Lancet Digital Health, AIM investigators have defined the levels of autonomy in medical AI.

publicationai medicineAugust 31, 20202020hugo-aerts, ai, raymond-mak, danielle-bitterman, oncology

Impact of AI on Radiation Oncology

In Nature Reviews Clinical Oncology, we highlight how AI is transforming the field of radiation oncology to treat patients more accurately and efficiently.