Imaging Informatics

Chat messaging platform could reduce phone call disruptions
By Amerigo Allegretto
A chat platform integrated within the EMR and targeted education reduced phone call volume by half in a radiology department.
October 1, 2026
Radiologist reviewing CT and X-ray scans on dual monitors in medical imaging workstation
Unified imaging systems are a C-suite imperative
By Scott Miller
Scott Miller of GEHC discusses the trend toward unified imaging platforms in a new column.
October 1, 2026
Professional headshot of a man in dark blazer and striped blue shirt with red tie
Making AI matter at the point of care
By Kelly Londy
In a new column, Kelly Londy of GE HealthCare describes what's needed to unlock the benefits of AI in radiology.
September 30, 2026
Professional headshot of a smiling woman with auburn hair wearing dark clothing against an urban background
CT-based AI model predicts pneumonitis in lung cancer patients
By Amerigo Allegretto
The algorithm outperformed clinical and radiomics models in these patients.
September 25, 2026
Axial CT scan of chest showing bilateral lungs with contrast enhancement and anatomical detail
PACS workstations add to power consumption in radiology departments
By Amerigo Allegretto
PACS workstations consume about 25 kW when active while also consuming power cumulatively in powered down states.
September 23, 2026
Medical professional reviewing X-ray images on dual monitors in clinical workspace
MRI-based model shows changes over time in multiple myeloma patients
By Amerigo Allegretto
Whole-body MRI could serve as a scalable biomarker for risk stratification in multiple myeloma patients.
September 4, 2026
Blood smear microscopy showing purple-stained white blood cells and hematopoietic cells on light background
eConsult systems may benefit radiology-provider communication
By Amerigo Allegretto
Electronic consult (eConsult) platforms provide documented pathway for imaging questions and support radiologists as consultants.
September 3, 2026
Doctor in white coat compassionately holding patient's hand during medical consultation
AI cuts chest CT reporting time
By Will Morton
Exploratory modeling suggested an approximate reduction of 0.5 full-time equivalent radiologist workload.
September 1, 2026
Example of AI-assisted pulmonary nodule detection and longitudinal volumetric assessment in a 65-year-old woman with peripheral arterial disease, a 24-pack-year smoking history, emphysema, and a family history of lung cancer. An incidental 8.5-mm right lower lobe pulmonary nodule is identified at CT angiography of the abdomen in July 2022 but does not receive follow-up. Subsequent imaging demonstrates interval growth, and CT-guided biopsy confirms stage IA lung adenocarcinoma. Contrast-enhanced axial chest CT images obtained on February 2, 2024, before robotic-assisted thoracoscopic segmentectomy, show a 12.1-mm spiculated right lower lobe pulmonary nodule. (A) Conventional contrast-enhanced axial chest CT image without AI assistance shows a 12.1-mm spiculated right lower lobe pulmonary nodule. (B) Corresponding CT image with AI-assisted pulmonary nodule detection, automated segmentation, and quantitative nodule assessment identifies a solid pulmonary nodule (nodule #1) measuring 13 × 8 (11) mm, with a volume of 739 mm3, a 45% volumetric increase compared with the previous contrast-enhanced chest CT performed on October 9, 2023 (510 mm3), and an estimated volume doubling time (VDT) of 216 days. (C) AI-generated longitudinal nodule analysis displays automated segmentation of the current (February 2, 2024) and previous (October 9, 2023) CT examinations, 3D nodule reconstruction, and quantitative volumetric assessment for longitudinal follow-up. The AI interface is displayed in the original software language (Dutch).
Most FDA-cleared AI medical devices not tested on patient outcomes
By Amerigo Allegretto
Of the 1,059 FDA-cleared devices used in radiology, three had a registered trial.
August 19, 2026
Digital illustration of human head in profile with glowing neural network and interconnected user icons representing artificial intelligence and data connectivity
AI framework could improve MRI quality control in prostate cancer
By Amerigo Allegretto
The framework uses a DL model trained on low- and high-quality MR images and helped improve radiologist accuracy.
August 19, 2026
MRI brain scans with thermal heat map analysis showing anatomical structures and temperature distribution patterns
Longitudinal DBT could help improve long-term cancer risk prediction
By Amerigo Allegretto
A longitudinal DBT model outperformed other models based on mammography and clinical factors in predicting five-year cancer risk.
August 13, 2026
Grayscale mammography scan showing breast tissue with varying density patterns
AI tools may not meet breast radiologists' expectations in practice
By Amerigo Allegretto
AI tools in breast imaging may have more modest clinical impact on recall and biopsy rates.
August 12, 2026
Businessperson touching a glowing holographic circular interface with digital network visualization
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