Videos

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VIDEO: KLAS shares trends in enterprise imaging and AI

Monique Rasband, vice president of imaging, cardiology and oncology, KLAS Research, explains some of technology trends KLAS researchers have found in enterprise imaging system and radiology artificial intelligence (AI).

Charles E. Kahn, Jr., MD, MS, Editor of the the journal Radiology: Artificial Intelligence, and professor and vice chair of radiology at the University of Pennsylvania Perelman School of Medicine. He has been heavily involved in radiology informatics and has seen up close the evolution of radiology toward deeper integration with AI. #RSNA

VIDEO: Use cases and implementation strategies for radiology artificial intelligence

Charles Kahn, Jr., MD, editor of the the journal Radiology: Artificial Intelligence, and professor and vice chair of radiology at the University of Pennsylvania Perelman School of Medicine, explains the work involved integrating AI in radiology systems and the role of AI in augmenting patient care.
 

Charles E. Kahn, Jr., MD, MS, editor of the the RSNA journal Radiology: Artificial Intelligence, and professor and vice chair of radiology at the University of Pennsylvania Perelman School of Medicine. He discusses the need to validate artificial intelligence (AI) algorithms with your own patient population to determine if it is accurate for a specific institutions patients. He also explains how bias can be inadvertently added into a algorithm, and how the AI may take learning shortcuts. #AI

VIDEO: Assessing radiology AI and understanding programatic bias 

Charles E. Kahn, Jr., MD, MS, editor of the the RSNA  journal Radiology: Artificial Intelligence, and professor and vice chair of radiology at the University of Pennsylvania Perelman School of Medicine, discusses the need to validate AI algorithms with your own patient population data.  

Interview with Stamatia Destounis, MD, FACR, a radiologist and managing partner at Elizabeth Wende Breast Care in Rochester, New York, chair of the American College of Radiology (ACR) Breast Commission, serves on the Public Information Advisors Committee for Radiological Society of North America (RSNA) and on the Society of Breast Imaging (SBI) Communication Committee. She discusses post-COVID economic issues facing breast imaging centers, including the "great resignation" and lower reimbursements.

VIDEO: Issues with the great resignation and lower reimbursements in breast imaging

Stamatia Destounis, MD, FACR, a radiologist and managing partner at Elizabeth Wende Breast Care in Rochester, New York, and chair of the ACR Breast Commission, discusses post-COVID-19 economic issues facing breast imaging centers, including staffing problems from the "Great Resignation" and lower reimbursements. 

Illustration of the four types of breast tissue densities. The more dense, the harder it is for radiologists to detect cancers, which had led to about 40 states to now require notiofication of patients if they have dense breasts and the impact on their care, with possible miss-reads and that they may need supplemental imaging.

VIDEO: What is the impact of breast density notification laws?

Society of Breast Imaging (SBI) President John Lewin, MD, discusses how legislation concerning breast density notifications has impacted mammography.

FAPI PET/CT shows promise as a better radiotracer for cancer than 18F-FDG. It also can be used for detection of infection and inflammation.

VIDEO: 6 key advances in molecular imaging technology for PET and SPECT

Munir Ghesani, MD, President of the Society of Nuclear Medicine and Molecular Imaging (SNMMI), system chief of nuclear medicine at Mount Sinai Health, explains recent advances in nuclear imaging technology.

Monique Rasband from KLAS Research shares trends in PACS and radiology informatics.

VIDEO: 6 key trends in PACS and radiology informatics observed by KLAS

Monique Rasband, vice president of imaging, cardiology and oncology, KLAS Research, shares some of technology trends observed in radiology PACS and and imaging informatics since 2019.

Validation and testing of all artificial intelligence (AI) algorithms is needed to eliminate any biases in the data used to train the AI, according to HIMSS.

VIDEO: Understanding biases in healthcare AI

Validation and testing of all algorithms is needed to eliminate any biases in the data used to train the AI, according to Julius Bogdan, vice president and general manager of the HIMSS Digital Health Advisory Team for North America.

Around the web

The nuclear imaging isotope shortage of molybdenum-99 may be over now that the sidelined reactor is restarting. ASNC's president says PET and new SPECT technologies helped cardiac imaging labs better weather the storm.

CMS has more than doubled the CCTA payment rate from $175 to $357.13. The move, expected to have a significant impact on the utilization of cardiac CT, received immediate praise from imaging specialists.

The all-in-one Omni Legend PET/CT scanner is now being manufactured in a new production facility in Waukesha, Wisconsin.

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