Imaging Informatics: Page 22

Can AI improve sustainability in nuclear medicine?
Nuclear medicine experts support the use of AI to improve sustainability of practices in the field, yet say implementation will require careful consideration of the technology’s benefits and detriments.
April 9, 2024
ChatGPT powered by GPT-4 and using DALL-E−3 was asked to generate an image for teaching purposes that demonstrated: a nuclear medicine bone scan with skeletal metastases (top left); coronary artery disease (top right); an F-18 FDG-PET scan of the brain with Alzheimer's disease (bottom left); and an x-ray showing a fracture (bottom right). These are misleading for educational purposes and for patients who may be searching for information. Image and caption courtesy of Radiography.
MEG reveals how the brain processes face-like images
By Will Morton
A brain imaging technique called magnetoencephalography (MEG) has identified a neural network that plays a key role in face pareidolia – a tendency to see faces in nonface images.
April 8, 2024
Face Images Thumbnail
Dartmouth event bats around promise, shortcomings of AI in healthcare
By AuntMinnie.com staff writers
Dartmouth's Center for Precision Health and Artificial Intelligence held its first symposium April 3 featuring leaders from radiology, pathology, and more.
April 5, 2024
Curtis Langlotz, MD, PhD, professor of radiology, medicine, and biomedical data science at Stanford University, was among the keynote speakers at the Dartmouth event April 3. Photo courtesy of Dartmouth.
Northwestern, Dell develop LLM for chest x-ray interpretation
By AuntMinnie.com staff writers
Dell Technologies and Northwestern Medicine are collaborating on a generative multimodal large language model (LLM) for the interpretation of chest x-rays.
April 5, 2024
Chest Lung Xray 400
SPECT/CT algorithm predicts heart failure hospitalizations
By Will Morton
AI can effectively predict hospitalization for acute heart failure exacerbation in patients undergoing SPECT/CT myocardial perfusion imaging.
April 3, 2024
A visual abstract of the study by the authors. Image courtesy of the Journal of Nuclear Medicine.
Does teleradiology increase malpractice liability for radiologists?
By Erik L. Ridley
Medical malpractice cases involving teleradiology tend to be more severe and result in higher indemnity payments than other radiology malpractice claims, according to recent research.
April 2, 2024
Malpractice Magnifying Glass
ChatGPT performs well on radiation oncology patient care questions
By Will Morton
ChatGPT may be a valuable resource for radiation oncology patients.
April 2, 2024
Chatgpt1
Can AI help chest DDR achieve clinical adoption?
By Will Morton
Chest dynamic digital radiography (DDR) may have received a boost toward clinical use in patients with lung disorders, with researchers developing AI to perform time-consuming analysis involved in the technology.
April 1, 2024
(a) Raw example of a dynamic digital radiograph. (b) Contrast equalization using contrast-limited adaptive equalization shows improved anatomical visualization. (c) Training data is generated through manually labeling using SLEAP’s graphical user interface. (d-e) Neural network detection schematic. For each quadrant a series of two networks were used. The first identifies the quadrant center, the second using input of the first, then identifies individual anatomical landmarks within a quadrant. (d) Four neural networks were trained, each with the objective of identifying a chest quadrant centroid. The four separate quadrants are visualized as colored boxes (right upper quadrant, green; right lower quadrant, blue; left upper quadrant, red; left lower quadrant, yellow). (e) Serial centroid then anatomical identification. Two quadrant examples showing confidence maps of trained neural networks identifying quadrant centroids (left) and then anatomical confidence maps (right). Image and caption courtesy of Chest Pulmonary.
New imaging method shows oxygen movement in the brain
By AuntMinnie.com staff writers
A new bioluminescence imaging technique appears to show movement of oxygen in the brain, according to research at the University of Rochester Medical Center.
March 29, 2024
Brain Puzzle Dementia Social
Safeguarding the future of radiology with imaging informatics
By Shujah Das Gupta, Dhaval Shah
With AI-mediated cyberattacks on the rise, radiologists can find it challenging to balance prompt patient access to diagnostic imaging while safeguarding sensitive healthcare data.
March 28, 2024
Image
Deep learning helps distinguish benign vertebral fractures on CT
By Kate Madden Yee
A deep-learning algorithm used with CT imaging can differentiate between benign and malignant vertebral fractures, researchers have found.
March 27, 2024
Overview of the automated deep learning-based pipeline. Multidetector CT images show the (A) original data, (B, C) vertebral segmentation, and (D-F) vertebral labeling during preprocessing. Images and caption courtesy of the RSNA.
Large language models simplify radiology report impressions
By Erik L. Ridley
Large language models can significantly simplify radiology report impressions, enhancing readability for patients, according to recently published research.
March 26, 2024
Chat Gpt Artificial Intelligence Ai Head
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