Imaging Informatics: Page 6

German researchers tout U-Net for pixel-level lung thickness maps
By Liz Carey
The deep-learning model may be helpful for diagnosing and preventing the progression of pulmonary diseases during routine chest x-ray screenings.
May 28, 2025
Qualitative results of eight frontal chest radiographs from the synthetic public test set, where each column represents one participant. Participants one through four are from the Luna16 test set, and participants five through eight are from the pulmonary embolism test set. (A) Simulated input radiographs, (B) predicted thickness maps, (C) reference standard thickness maps, and (D) absolute difference between the reference standard and predicted maps. The color bars for B and C indicate lung thickness in millimeters (mm). The color bar for D indicates the pixel-level estimation error in mm.
The PACSMan’s SIIM 2025 recap: A long way from home
By Michael J. Cannavo
The PACSMan, aka consultant Michael J. Cannavo, shares his takeaway points after remotely attending SIIM 2025.
May 28, 2025
Michael J. Cannavo.
SIIM: Are consumer-grade displays suitable for remote radiologists?
By Erik L. Ridley
Research presented at SIIM 2025 compared the performance of consumer-grade displays with diagnostic-grade displays for radiologists in hybrid work environments.
May 23, 2025
Katie Hulme of the Cleveland Clinic.
SIIM: Posters illustrate ways to improve radiology workflows
By Will Morton
A poster presentation at SIIM on May 23 illustrated simple ways to improve workflows.
May 23, 2025
Morgan McBee, MD
Video from SIIM: Nabile Safdar on integrating AI into radiology training
By Will Morton
We caught up with Nabile Safdar, MD, to discuss best practices for the integration of AI into radiology training.
May 23, 2025
Nabile Safdar
SIIM: Deep-learning model aids lumbar spine MRI analysis
By Erik L. Ridley
In a presentation at SIIM 2025, researchers shared the performance of a deep-learning algorithm on lumbar spine MRI exams.
May 22, 2025
Kay Wu, MD, presents the research group's results with DeepSpine at SIIM 2025.
SIIM: Informatics key to future of theranostics
By Will Morton
Informatics will play a key role in shaping the future of theranostics.
May 22, 2025
Tyler Bradshaw, PhD, and Eliot Siegel, MD, introduced the concept of 'theranostics informatics' May 22 at SIIM.
SIIM: AI creates well-received radiology reports for patients
By Erik L. Ridley
A study presented at SIIM 2025 highlighted the potential of AI-created video radiology reports for improving patient engagement.
May 22, 2025
Luyang Luo, PhD, presented the group's results in a session at SIIM 2025.
SIIM: AI identifies gaps in care in patients with fractures
By Will Morton
AI software for identifying vertebral compression fractures could close a gap in patient care.
May 22, 2025
Mohamed Ibrahim, MD, presented a study May 21 on how AI can identify gaps in care for patients with vertebral compression fractures.
Video: Howard Chen talks AI implementation and development trends
By Erik L. Ridley
We caught up in Portland with Howard Chen, MD, of the Cleveland Clinic to hear about the latest trends in radiology AI technology development and implementation.
May 21, 2025
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Video: Florence Doo talks radiology AI sustainability
By Erik L. Ridley
In a video interview, Florence Doo, MD, of the University of Maryland spoke about sustainability issues with radiology AI technology.
May 21, 2025
2025 Siim Florence Doo Thumbnail
SIIM: Who will win the AI revolution in healthcare?
By Will Morton
The question facing the healthcare industry is, "Who will win the AI revolution?"
May 21, 2025
AI policy expert Rohini Kosoglu delivered the keynote address at the opening session of SIIM on May 21.
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