Artificial Intelligence

This channel includes news and technology innovations for artificial intelligence (AI) software, also referred to as deep learning, cognitive computing and machine learning. AI technology is being integrated in radiology for imaging appropriate use criteria (AUC), clinical decision support, predictive analytics and to assist radiologists with improved workflow.

Researchers have developed an artificial intelligence (AI)-based brain age prediction model to quantify deviations from a healthy brain-aging trajectory in patients with mild cognitive impairment, according to a study published in Radiology: Artificial Intelligence. The model has the potential to aid in early detection of cognitive impairment at an individual level.

Flowchart showing the framework of the brain age prediction model. A, The imaging data were split into training and test datasets. The training dataset consisted of structural magnetic resonance imaging data from 974 healthy individuals, whereas the test dataset included data from 2 groups, 231 healthy controls and 224 aMCI subjects. B, A Conventional Statistical Parametric Mapping structural preprocessing pipeline was used to generate GMV maps in the MNI space. C, The intensity values from the GMV maps were extracted and concatenated to create a feature matrix that was then cleaned and normalized. D, The best elastic net model was obtained by performing supervised learning on the training dataset. To optimize the hyperparameters, a grid search was performed. E, The test dataset was input into the trained model. An age was predicted for every participant included in the test dataset. The PAD scores were calculated by subtracting the participant's chronological age from his or her predicted age. aMCI = amnestic mild cognitive impairment, GMV = gray matter volume, MNI = Montreal Neurologic Institute, Dartel = Diffeomorphic Anatomic Registrations Through Exponentiated Lie Algebra, PAD = predicted age difference. Chart courtesy of Radiological Society of North America

News | Artificial Intelligence | June 23, 2021
June 23, 2021 — Researchers have developed an artificial intelligence (AI)-based brain age prediction model to quantify...
GE Healthcare also recently announced Xeleris V, a new virtualized, flexible AI-powered solution that provides clinicians secure access to data from anywhere – helping them make personalized care decisions and treatment recommendations that are at the heart of precision health.
News | Nuclear Imaging | June 22, 2021
June 22, 2021 — At the Society of Nuclear Medicine and Molecular Imaging’s (SNMMI) 2021 summer conference, GE...
AI-powered natural language understanding and other innovations now generate structured data from unstructured narrative text, deliver contextual clinical guidance when most helpful during the reporting workflow, provide quality and accuracy checks, connect disparate systems with synchronous data exchange and reduce workflow interruptions.
Sponsored Content | Blog | Artificial Intelligence | June 16, 2021
  AI-powered models that augment radiologists’ expertise in interpreting diagnostic imaging often capture the lion’s...
The impact of deploying artificial intelligence (AI) for radiation cancer therapy in a real-world clinical setting has been tested by Princess Margaret researchers in a unique study involving physicians and their patients.

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News | Artificial Intelligence | June 15, 2021
June 15, 2021 — The impact of deploying artificial intelligence (AI) for radiation cancer therapy in a real-world...
Prediction performance of DL compared to quantitative measures and Kaplan-Meier curves for quartiles of DL. Image created by Singh et al., Cedars-Sinai Medical Center, Los Angeles, CA.

Prediction performance of DL compared to quantitative measures and Kaplan-Meier curves for quartiles of DL. Image created by Singh et al., Cedars-Sinai Medical Center, Los Angeles, CA.

News | SPECT Imaging | June 14, 2021
June 14, 2021 — An advanced artificial intelligence technique known as deep learning can predict major adverse cardiac...
AI Med will present its Virtual Clinical Series: Imaging Built by Clinicians, for Clinicians, June 29-30, 2021.
News | Artificial Intelligence | June 09, 2021
June 9, 2021 — AI Med will present its Virtual Clinical Series: Imaging Built by Clinicians, for Clinicians, June 29-30...
Sponsored Content | Blog | Artificial Intelligence | June 07, 2021
  Automation is transforming the way we practice radiation oncology and advancing the standard of patient care. There...
Cina Chest is part of Avicenna’s CINA family of AI tools that support the treatment of emergencies, including CINA HEAD, its FDA-cleared and CE-Marked solution that supports the detection and triage of stroke and neurovascular emergencies.
News | Artificial Intelligence | June 03, 2021
June 3, 2021 — Medical imaging AI specialist Avicenna.AI announced that it has received certification in the United...
Chest X-rays used in the COVID-Net study show differing infection extent and opacity in the lungs of COVID-19 patients. Image courtesy of University of Waterloo

Chest X-rays used in the COVID-Net study show differing infection extent and opacity in the lungs of COVID-19 patients. Image courtesy of University of Waterloo

News | Coronavirus (COVID-19) | June 03, 2021
June 3, 2021 — Artificial intelligence (AI) technology developed by researchers at the University of Waterloo is...
International medical imaging IT and cybersecurity company Sectra will install its solution for digital pathology at Institut Curie, one of the most recognized and prestigious cancer centers in France.
News | Enterprise Imaging | May 24, 2021
May 24, 2021 — International medical imaging IT and cybersecurity company Sectra will install its solution for digital...
Carestream selects HPE GreenLake Cloud Services to power transformative artificial intelligence-as-a-service (AIaas)
News | Artificial Intelligence | May 20, 2021
May 20, 2021 — Carestream Health is transforming and accelerating the way it develops and delivers AI applications for...
The Radiological Society of North American announced that RSNA21 will be back — live — this November in Chicago
News | RSNA | May 17, 2021
May 17, 2021 — The Radiological Society of North America (RSNA) announced today that 10,378 scientific and educational...
The Healthcare Information and Management Systems Society, Inc. (HIMSS) 2021 Conference, scheduled for August 9-13 in Las Vegas, will be one of the first to take a step back to normalcy

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News | HIMSS | May 17, 2021
May 17, 2021 — It looks like in-person conferences are making a comeback. The Healthcare Information and Management...
Chest X-ray from patient severely ill from COVID-19, showing (in white patches) infected tissue spread across the lungs. Image courtesy of Nature Publishing or npj Digital Medicine

Chest X-ray from patient severely ill from COVID-19, showing (in white patches) infected tissue spread across the lungs. Image courtesy of Nature Publishing or npj Digital Medicine

News | Coronavirus (COVID-19) | May 14, 2021
May 14, 2021 — Trained to see patterns by analyzing thousands of chest X-rays, a computer program predicted with up to...
Artificial intelligence (AI)-driven healthcare has potential to transform medical decision-making and treatment, but AI algorithms must be thoroughly tested and continuously monitored to avoid unintended consequences to patients. In JAMA Network Open, Regenstrief Institute President Peter Embí, M.D., calls for algorithmovigilance (a term he coined for scientific methods and activities relating to evaluation, monitoring, understanding and prevention of adverse effects of algorithms in healthcare) to address

Artificial intelligence (AI)-driven healthcare has potential to transform medical decision-making and treatment, but AI algorithms must be thoroughly tested and continuously monitored to avoid unintended consequences to patients. In JAMA Network Open, Regenstrief Institute President Peter Embí, M.D., calls for algorithmovigilance (a term he coined for scientific methods and activities relating to evaluation, monitoring, understanding and prevention of adverse effects of algorithms in healthcare) to address inherent biases in healthcare algorithms and their deployment. Image courtesy of Regenstrief Institute

News | Artificial Intelligence | May 14, 2021
May 14, 2021 — Artificial intelligence (AI)-driven healthcare has the potential to transform medical decision-making...
Herman Oosterwijk

Herman Oosterwijk

News | Artificial Intelligence | May 13, 2021
May 13, 2021 — Laurel Bridge Software, a provider of imaging software solutions that enable health systems to...
Carestream Health has released Smart Noise Cancellation (SNC), a groundbreaking artificial intelligence (AI)-based technology that greatly improves image quality — producing images that are significantly clearer than with standard processing.
News | Artificial Intelligence | May 12, 2021
May 12, 2021 — Carestream Health has released Smart Noise Cancellation (SNC), a groundbreaking artificial intelligence...
The digital technology is reducing reliance on unnecessary invasive diagnostic procedures and is cutting hospital waiting times
News | Artificial Intelligence | May 12, 2021
May 12, 2021 — HeartFlow, Inc., a leader in revolutionizing precision heartcare, today announced that the National...
Real-time intelligence in the pre-read stages of the workflow can ensure that when opening the first study on a worklist, the radiologist can be confident that it is the correct study to read at that time, whether based on AI-integrated worklist triage, worklist prioritization, or SLA expectations.
Sponsored Content | Blog | Artificial Intelligence | May 11, 2021
  Optimizing radiology workflow begins well before a radiologist opens an exam. Early planning and preparation are...
News | Artificial Intelligence | May 11, 2021
May 11, 2021 — Whiterabbit, an AI technology company focused on early breast cancer detection, today announced the...