content — AIM

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

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

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.

Scientific American: rise of the robot radiologists

In a news item, Scientific American discusses our deep learning study to automatically predict mortality from x-rays.

newsai medicineFebruary 1, 20202020ahmed-hosny, hugo-aerts, udo-hoffmann, cardiology, radiology, oncology, michael-lu

Horizon 2020 ERC awarded to AIM scientists

The Horizon 2020 program of the European Union awarded an ERC grant about AI in oncology.

newsai medicineJanuary 15, 20202020hugo-aerts, oncology, grant, radiology

AIM scientist appointed at Lancet advisory board

The Lancet Digital Health appointed Dr. Hugo Aerts at their advisory board.

newsai medicineJanuary 1, 20202020hugo-aerts

Nature highlights two AIM publications in special report

In a special report about innovations in AI and digital health, Nature highlights two studies from AIM investigators.

newsai medicineJanuary 1, 20202020ahmed-hosny, hugo-aerts, udo-hoffmann, cardiology, radiology, oncology, michael-lu

EurekAlert highlights our study about imaging-AI

EurekAlert from AAAS covers our study about cardiovascular risk predictions using AI.

Science publishes our article about AI for Global Health

Science Magazine published our perspective on the application of Artificial intelligence in resource-poor health care settings.

publicationai medicineNovember 1, 20192019ahmed-hosny, hugo-aerts, ai

Study from AIM selected as best of RSNA

At the annual meeting, a study about AI for cardiovascular risk prediction was awarded.

newsai medicineNovember 1, 20192019hugo-aerts, ai, udo-hoffmann, roman-zeleznik, jakob-weiss, michael-lu, borek-foldyna

IMIA awarded an AIM article as best of the year

Our article "Deep learning for lung cancer prognostication" was selected by IMIA as one of the best articles of the year.

newsai medicineSeptember 18, 20192019ahmed-hosny, hugo-aerts, raymond-mak, roman-zeleznik, ai, radiation-oncology

NIH awards the Imaging Data Commons

The National Cancer Institute awarded the Imaging Data Commons (IDC) to a consortium from Brigham and Women’s Hospital and Harvard Medical School.

newsai medicineAugust 14, 20192019hugo-aerts, oncology, grant, radiology

Deep Learning predicts mortality from x-rays

JAMA Network Open published our study about using deep learning to extract prognostic information from chest radiographs

publicationai medicineJuly 17, 20192019ahmed-hosny, hugo-aerts, ai, michael-lu, udo-hoffmann

Research