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News You Need to Know Today
What 3 leaders at SIIM18 learned from their informatics failures
Thursday, June 7, 2018
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Today's News and Trends

What 3 leaders at SIIM18 learned from their informatics failures

A group of imaging leaders took to the stage during a session at the Society for Imaging informatics in Medicine (SIIM) 2018 annual meeting to share memorable hardships related to imaging informatics and what they learned.
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What 3 leaders at SIIM18 learned from their informatics failures

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SIIM_lessons
A group of imaging leaders took to the stage during a session at the Society for Imaging informatics in Medicine (SIIM) 2018 annual meeting to share memorable hardships related to imaging informatics and what they learned.
READ MORE >

ASCO 2018: Advanced MRI—aided by AI—classifies brain tumors based on mutation status, decreasing diagnostic uncertainty

Research presented at ASCO 2018 found that using contrast perfusion-weighted MRI enhanced by artificial intelligence (AI) and texture analysis can differentiate between brain tumors according to their mutation status.
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ASCO 2018: Advanced MRI—aided by AI—classifies brain tumors based on mutation status, decreasing diagnostic uncertainty

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img_6948.jpg
Research presented at ASCO 2018 found that using contrast perfusion-weighted MRI enhanced by artificial intelligence (AI) and texture analysis can differentiate between brain tumors according to their mutation status.
READ MORE >

ASCO 2018: PET imaging may top CT in predicting therapy response in melanoma patients

PET imaging may better predict long-term benefits and guide discontinuation of therapy compared to standard contrast CT for patients with metastatic melanoma, according to findings presented at the 2018 American Society of Clinical Oncology (ASCO) annual meeting in Chicago.
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ASCO 2018: PET imaging may top CT in predicting therapy response in melanoma patients

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PET imaging may better predict long-term benefits and guide discontinuation of therapy compared to standard contrast CT for patients with metastatic melanoma, according to findings presented at the 2018 American Society of Clinical Oncology (ASCO) annual meeting in Chicago.
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Purdue’s new imaging method detects blood vessel disorders, brain injuries without contrasts

Researchers have created a functional MRI (fMRI)-based analytical imaging method to detect and monitor blood vessel disorders and injuries in the brain without using invasive contrast agents.
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Purdue’s new imaging method detects blood vessel disorders, brain injuries without contrasts

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Researchers have created a functional MRI (fMRI)-based analytical imaging method to detect and monitor blood vessel disorders and injuries in the brain without using invasive contrast agents.
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Mark Cuban helped raise $7.5M for a biomagnetic imaging startup

Best known for his appearances on the TV show “Shark Tank,” Mark Cuban was part of a group of investors who helped raise millions for the non-invasive biomagnetic imaging startup.
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Mark Cuban helped raise $7.5M for a biomagnetic imaging startup

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Best known for his appearances on the TV show “Shark Tank,” Mark Cuban was part of a group of investors who helped raise millions for the non-invasive biomagnetic imaging startup.
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2 AI-related lessons radiologists can take from self-driving cars

Artificial intelligence (AI) is poised to change transportation with self-driving vehicles, Kimberly Powell, with the Nvidia Corporation, and colleagues believe their work on the subject can also be applied to radiology.
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2 AI-related lessons radiologists can take from self-driving cars

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AI car
Artificial intelligence (AI) is poised to change transportation with self-driving vehicles, Kimberly Powell, with the Nvidia Corporation, and colleagues believe their work on the subject can also be applied to radiology.
READ MORE >

AI algorithm may detect pancreatic cancer as accurately as radiologists

A professor of radiology at Johns Hopkins Medicine in Baltimore and computer science students are developing a tumor-detecting AI algorithm that can be built into computed tomography (CT) scanner software to recognize and differentiate between a normal pancreas and one that's cancerous.
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Artificial intelligence
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AI algorithm may detect pancreatic cancer as accurately as radiologists

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Artificial intelligence
A professor of radiology at Johns Hopkins Medicine in Baltimore and computer science students are developing a tumor-detecting AI algorithm that can be built into computed tomography (CT) scanner software to recognize and differentiate between a normal pancreas and one that's cancerous.
READ MORE >

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