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Artificial Intelligence in Medicine

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New faculty member joins AIM

Benjamin Kann joins AIM to start a new laboratory in medical image analysis.

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newsai medicineDecember 31, 20192020
EurekAlert highlights our study about imaging-AI
EurekAlert highlights our study about imaging-AI

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

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newsai medicineDecember 1, 20192019hugo-aerts, udo-hoffmann, roman-zeleznik, cardiology, radiology, jakob-weiss, michael-lu, borek-foldyna
Science publishes our article about AI for Global Health
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.

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publicationai medicineNovember 1, 20192019ahmed-hosny, hugo-aerts, ai
Study from AIM selected as best of RSNA
Study from AIM selected as best of RSNA

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

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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
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.

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newsai medicineSeptember 18, 20192019ahmed-hosny, hugo-aerts, raymond-mak, roman-zeleznik, ai, radiation-oncology
NIH awards the Imaging Data Commons
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.

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newsai medicineAugust 14, 20192019hugo-aerts, oncology, grant, radiology
Deep Learning predicts mortality from x-rays
Deep Learning predicts mortality from x-rays

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

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publicationai medicineJuly 17, 20192019ahmed-hosny, hugo-aerts, ai, michael-lu, udo-hoffmann
Science Magazine discusses risks of AI in Medicine
Science Magazine discusses risks of AI in Medicine

In a news item, Science Magazine discusses the positives and negatives of AI in medicine.

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newsai medicineJune 17, 20192019hugo-aerts, ai
AIM scientist featured at Harvard Business School
AIM scientist featured at Harvard Business School

Dr. Raymond Mak is featured in an Harvard Business School news item about his AI work.

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newsai medicineApril 25, 20192019radiology, oncology, raymond-mak
Reuters highlights our study on crowd AI algorithms
Reuters highlights our study on crowd AI algorithms

Our study on applying crowd innovation to develop deep learning models was featured by Reuters.

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newsai medicineApril 11, 20192019hugo-aerts, radiology, oncology, raymond-mak
Deep learning algorithm can support radiation oncology
Deep learning algorithm can support radiation oncology

JAMA Oncology published our investigation of deep learning methods for lung tumor segmentation.

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publicationai medicineApril 2, 20192019hugo-aerts, ai, raymond-mak, oncology
Deep Learning Predicts Cancer Treatment Response
Deep Learning Predicts Cancer Treatment Response

Clinical Cancer Research published about deep learning applied to serial imaging to improve outcome predictions.

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publicationai medicineMarch 28, 20192019ahmed-hosny, hugo-aerts, raymond-mak, roman-zeleznik, ai, radiation-oncology, yiwen-xu
The AACR awards an AIM article as the most-cited
The AACR awards an AIM article as the most-cited

At their annual meeting, the AACR awarded an AIM article as it was the most-cited.

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newsai medicineMarch 2, 20192019hugo-aerts, joost-van-griethuysen, oncology, ai
AI and Imaging can predict Immunotherapy response
AI and Imaging can predict Immunotherapy response

We used AI to quantify the radiographic phenotype of a tumor to predict IO response.

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publicationai medicineMarch 1, 20192019hugo-aerts, ai, stefano-trebeschi, oncology
Cover feature in the CA Cancer Journal
Cover feature in the CA Cancer Journal

Our publication about artificial intelligence in cancer imaging was highlighted on the cover of CA: A Cancer Journal for clinicians.

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newsai medicineFebruary 28, 20192019ahmed-hosny, hugo-aerts, raymond-mak, ai, radiation-oncology
Trial Design for the evaluation of oncology devices
Trial Design for the evaluation of oncology devices

JNCI published our study about trial design of novel technologies for cancer treatment, including artificial intelligence algorithms.

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publicationai medicineFebruary 28, 20192019ai, raymond-mak, danielle-bitterman
Artificial Intelligence in Cancer Imaging
Artificial Intelligence in Cancer Imaging

A review of AI applications in the imaging of several tumor types has been published in CA: A Cancer Journal for clinicians.

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publicationai medicineFebruary 27, 20192019ahmed-hosny, hugo-aerts, raymond-mak, ai, radiation-oncology, udo-hoffmann
Deep Learning for Identification of Extranodal Extension
Deep Learning for Identification of Extranodal Extension

Deep learning identifies extranodal extension in head and neck cancer better than radiologists; potential to be used for treatment decisions.

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publicationai medicineFebruary 13, 20192019benjamin-kann, oncology
Publication highlighted in Nature Grand Challenges
Publication highlighted in Nature Grand Challenges

AIM’s publication “AI in Radiology” was featured in the Nature about promising technologies transforming the world.

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newsai medicineSeptember 1, 20182019ahmed-hosny, hugo-aerts, ai
Cover feature in Nature Reviews Cancer
Cover feature in Nature Reviews Cancer

Our publication “Artificial Intelligence in Radiology” was highlighted on the cover of Nature Reviews Cancer.

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newsai medicineAugust 3, 20182018ahmed-hosny, hugo-aerts, ai
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