Imaging Informatics

How can AI best help in LDCT lung cancer screening?

A commercially available AI-based tool appears effective as a prescreener in low-dose CT lung cancer screening.

April 16, 2025

Can LLMs help track interval changes on radiology reports?

By Erik L. Ridley

Large-language models (LLMs) show potential for tracking interval changes on longitudinal radiology reports.

April 14, 2025

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Northeast Radiology to pay $350K to resolve data breach

Northeast Radiology has agreed to pay $350,000 and comply with a corrective action plan to resolve potential HIPAA violations.

April 14, 2025

AI-guided POCUS bests experts in detecting TB in underserved areas

By Amerigo Allegretto

AI-guided POCUS can accurately detect tuberculosis (TB), according to research presented at the ESCMID conference in Vienna, Austria.

April 13, 2025

Véronique Suttels, PhD, performs an ultrasound scan on a patient in Benin, West Africa, using a POCUS scanner connected to a smartphone. Her team studied how an AI-guided POCUS system can help diagnose tuberculosis in patients with respiratory symptoms. Image courtesy of Véronique Suttels, PhD.

Mimicking human vision: The new standard for medical image fidelity

By Ravinder Singh and Vaibhavi Sonetha, PhD

Ravinder Singh and Vaibhavi Sonetha, PhD, of Citius Healthcare Consulting, discuss a new method for assessing medical image fidelity.

April 11, 2025

Senators introduce medical AI reimbursement bill

By Amerigo Allegretto

A bill introduced in the U.S. Congress aims to establish a reimbursement pathway for FDA-authorized medical devices that rely on AI.

April 10, 2025

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AI bests rads in finding breast cancer in women with personal history

By Amerigo Allegretto

AI may have a role in finding contralateral disease in women with a personal history of breast cancer.

April 8, 2025

Images depict a 65-year-old patient with contralateral second breast cancer 6.3 years after right mastectomy. (A) Left craniocaudal and (B) mediolateral oblique mammograms assessed as benign. (C) The AI algorithm outlined a lesion with a score of 31 on the craniocaudal view. (D) A supplemental axial ultrasound scan, which was obtained on the same day as the mammogram, shows an irregular hypoechoic mass (arrows) in the left upper central breast. (E) Preoperative sagittal contrast-enhanced T1-weighted MRI scan shows the corresponding enhancing mass (arrow) in the left upper center. The mass was proven to be ductal carcinoma in situ.

AIUM: 3D-printed training model improves ultrasound-guided anesthesia

By Amerigo Allegretto

A 3D-printed simulation model could help improve ultrasound-guided anesthesia.

March 31, 2025

Erick Torres, MD, describes a 3D-printed simulation model he and colleagues created, which results show marked improvement in accurate needle targeting among medical students and residents performing ultrasound-guided regional anesthesia.

Generative AI model shows promise in chest x-ray study

By Amerigo Allegretto

A multimodal generative AI model achieved high diagnostic accuracy and showed clinical value in preliminary reporting of chest x-ray images.

March 25, 2025

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ML-based system predicts x-ray service times

A team in Italy has developed a real-time machine-learning (ML) system that can predict x-ray service times in emergency departments.

March 20, 2025

Radiologists less susceptible to visual illusions

Medical image experts demonstrated superior perceptual accuracy in response to visual illusions compared with a control group.

March 20, 2025

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Do radiologists trust mammography AI software?

By Erik L. Ridley

A large-scale prospective trial exploring the use of mammography AI software in a breast cancer screening program has found that recalls were lower when cases were flagged by AI.

March 18, 2025

Full-field digital screening mammograms in participants recalled by the consensus discussion after being flagged by artificial intelligence (AI) computer-aided detection (CAD) but not by either of the two radiologists. (A) Mammogram with AI CAD score of 73 for a 55-year-old woman diagnosed with grade 3 in situ cancer and T1 (9-mm) invasive cancer in the left breast and lymph node metastasis. (B) Mammogram with AI CAD score of 54 for a 49-year-old woman diagnosed with grade 2 in situ cancer and T1 (6-mm) invasive cancer in the right breast and without lymph node metastasis. All images and caption courtesy of the RSNA.

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