AuntMinnie

FEBRUARY 14, 2024

In a study described as a “competition between radiologists,” participants tasked with identifying abnormal findings on chest x-rays performed better with AI assistance than without AI assistance – though not by much and not in all cases, according to a group in Nanjing, Jiangsu, China.

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AuntMinnie

DECEMBER 13, 2023

AI assistance can improve the detection accuracy of thoracic abnormalities on chest x-rays across radiologists with varying levels of expertise, according to a study published December 12 in Radiology. About 50% of the x-rays had abnormal findings. AI detected a lung mass, a lung nodule, and a small pneumothorax.

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Everything Rad

APRIL 14, 2025

Reading Time: 4 minutes read New CDC Proposal Suggests Allowing Physician Assistants and Nurse Practitioners to Read Chest X-rays. Radiologists complete over 20,000 hours of clinical experience before being certified to interpret radiographic images. Would these professionals feel confident to interpret a chest x-ray?

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Health Imaging

OCTOBER 4, 2023

Researchers in Germany created an AI model that outperforms others in diagnostic accuracy when given access to clinical data that goes beyond an X-ray image.

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X-ray Radiologist Diagnostic Clinic 303

AuntMinnie

NOVEMBER 16, 2023

AI based lesion-detection software used in daily practice can help identify clinically significant incidental lung nodules on chest x-rays, according to a study published November 13 in Scientific Reports. needed clinical management,” wrote lead author Shin Hye Hwang, MD, and colleagues.

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X-ray Hospital PACS Clinic 312

AuntMinnie

AUGUST 20, 2024

A commercially available AI algorithm shows potential for off-label use as a way to generate automatic reports for “unremarkable” chest x-rays, according to a study published August 20 in Radiology. Reports by radiologists for the images were classified similarly. Annalise.ai ), software cleared in Europe and the U.S.

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AuntMinnie

NOVEMBER 28, 2023

CHICAGO -- A commercially available AI algorithm that can prioritize x-ray exams when it detects fractures yields “tremendous reductions” in report turnaround times, according to a study presented November 28 at RSNA. The software was configured to push email notifications three times a day, at 8 a.m., noon, and 3 p.m.,

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Everything Rad

NOVEMBER 25, 2024

Reading Time: 10 minutes read By Henry Williams, Carestream Area Vice President, Sales Western Nowadays, with hospital budgetary restrictions at the forefront of the purchasing decision making process, it seems like the X-Ray market, like everything else, is not immune to the current state of the economy. But is that really the case?

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X-ray Hospital Radiologist Imaging 98

AuntMinnie

MARCH 13, 2024

An AI algorithm can help identify rare tumors on upper arm bones in patients undergoing chest x-rays – findings not typically identified in daily reading practice, according to an article published March 6 in Radiology: Artificial Intelligence. The radiologists read the images with and without the help of the algorithm.

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AuntMinnie

OCTOBER 24, 2023

A group in Seoul, Korea, has developed an AI model that could help reduce radiology workflows by identifying “no changes” in follow-up chest x-rays of patients in critical care, according to a study published October 24 in Radiology. Image courtesy of Radiology. The researchers included 3.3 The algorithm achieved an AUC of 0.77

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AuntMinnie

OCTOBER 21, 2024

ChatGPT-4 is reasonably accurate in identifying radiological terms on chest x-ray reports, according to research presented at the Conference on Machine Intelligence in Medical Imaging (CMIMI). Alsheikh and colleagues evaluated ChatGPT-4’s accuracy in identifying common radiological terms from chest x-ray reports.

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X-ray Communication Radiologist Radiology 262

AuntMinnie

DECEMBER 3, 2024

Nearly 72,000 chest x-rays had been randomized as of November 25 (the study is open through December 31), with the two primary outcomes of the trial being time to diagnosis of lung cancer and time from chest x-ray to CT by prioritizing abnormals. UCLH has produced 9,217 chest x-rays from 8,072 patients.

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X-ray Hospital Radiographer Radiographer 264

AuntMinnie

OCTOBER 11, 2024

AI-assisted triage of lung x-rays using commercially available software could help reduce turnaround times in real-world settings by 77%, according to an article published October 10 in the European Journal of Radiology. Out of the 20,944 chest x-rays, 28.6% The images were acquired in the hospital’s emergency department.

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X-ray PACS Radiologist Clinic 234

AuntMinnie

FEBRUARY 20, 2025

Researchers led by ShivendraRai, MD, from King Georges Medical University in Lucknow, Uttar Pradesh, India, found that LUS scoring predicts surfactant administration better than chest x-ray in preterm neonates of 34 weeks' gestation admitted within 12 hours of birth with clinical suspicion of RDS. Of the total newborns, 67.2%

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AuntMinnie

MARCH 18, 2025

GE HealthCare and NVIDIA have announced a new collaboration for autonomous x-ray and ultrasound technologies at NVIDIA GTC 2025. As part of an expanded relationship, GE HealthCare will utilize NVIDIAs new Issac for Healthcare platform to develop AI-enabled x-ray and ultrasound systems.

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Radiology Business

JANUARY 14, 2025

The agency is considering whether to let NPs and PAs examine radiographs in a federal health surveillance program.

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AuntMinnie

NOVEMBER 29, 2023

CHICAGO -- German researchers are testing ways to support nonradiologists in interpreting chest x-rays in emergency settings using an AI assistant. To test the AI algorithm, the LMU team focused on 563 cases, all ordered by the emergency unit department. Nonradiology residents 0.78

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AuntMinnie

APRIL 17, 2024

The model approached the capabilities of expert human readers on a set of 1,109 pediatric chest x-rays and could serve as a tool to help detect injuries due to physical abuse, noted lead author Jonathan Burkow, a doctoral student, and colleagues. times increase in mortality rate,” the group wrote.

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Radiology Business

SEPTEMBER 23, 2024

“Our results reinforce the assumption that AI must be monitored," researchers wrote in the journal Diagnostic and Interventional Imaging.

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X-ray Radiologist Diagnostic Imaging 278

Radiology Business

JULY 18, 2024

Experts see particular benefit in “situations with high case volumes, which often lead to long work lists and reading delays," according to research published in Academic Radiology.

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X-ray Radiologist Radiology 317

Health Imaging

FEBRUARY 25, 2025

The algorithm has an edge over standard black box-style artificial intelligence applications because providers are able to see how it reaches conclusions.

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X-ray Radiologist IT 275

Health Imaging

APRIL 6, 2023

Radiologists used an AI tool-building platform to create their model(s), which allows clinicians the opportunity to develop AI models without any prior training in data sciences or computer programming.

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Health Imaging

AUGUST 21, 2024

The commercially available software can correctly exclude pathology on chest radiographs with accuracy rates similar to those of radiologists.

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X-ray Radiograph Radiographer Radiographer 310

AuntMinnie

FEBRUARY 16, 2024

Integrating eye-tracking data that map how radiologists interpret x-rays into deep learning AI algorithms could be key to developing more “human-centered” AI, according to a recent study. Difference between saccades, fixations, and attention heatmaps in radiologist eye-tracking studies.

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Radiologist X-ray Radiology Clinic 320

AuntMinnie

NOVEMBER 13, 2024

To that end, AI could increase efficiency and provide performance comparable to radiologists in areas of high prevalence of TB but where there are few radiologists, according to the team. For the analysis, radiologist Eun Kyoung (Amy) Hong, MD, and colleagues used two chest x-ray public datasets, Shenzen and Montgomery from the U.S.

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AuntMinnie

JANUARY 11, 2024

Four out of seven commercially available AI algorithms for detecting lung nodules on x-rays performed better than human readers, while two algorithms for predicting bone age fell short, in a study published January 9 in Radiology. Project AIR is an ongoing cohort study aimed at filling this gap, the authors wrote.

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X-ray Radiologist Radiograph Radiographer 275

Professional Radiology

APRIL 4, 2024

X-rays are like a superpower for doctors—they can see things hidden from plain sight. Whether it’s a broken bone, a lung infection, or even a swallowed object, X-rays reveal the secrets of your body. At Professional Radiology in El Paso, we understand the importance of X-rays in guiding personalized care.

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X-ray Radiation Oncology Radiation Diagnostic Imaging 189

AuntMinnie

OCTOBER 31, 2023

A team in Europe has launched a novel web application to help radiology trainees gain skills in detecting lung nodules on chest x-rays. To that end, Borgbjerg and colleagues aimed to develop and make available a pure web-based application for perception training in lung nodule detection in chest x-rays.

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X-ray Radiologist Education DICOM 277

AuntMinnie

APRIL 16, 2024

ChatGPT-4 matched radiologists when tasked with detecting errors in imaging reports, with the study suggesting the technology may be useful for improving reporting accuracy, according to a study published April 16 in Radiology. ChatGPT-4 matched radiologists in detecting errors in radiology reports.

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Radiology Business

JUNE 29, 2023

The Paris, France-based artificial intelligence developer will use the money to expand its product portfolio and headcount.

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AuntMinnie

MARCH 7, 2024

plans to highlight its Augmento X-Ray computer-aided detection (CAD) algorithm at the upcoming Healthcare Information and Management Systems Society (HIMSS) meeting in Orlando next week. Augmento X-Ray covers a broad range of lung, pleural, cardiac pathologies, and foreign bodies/hardware, according to DeepTek.ai.

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Health Imaging

MARCH 1, 2024

Manual reviews of X-rays remains important, because the true effectiveness of AI is still hard to quantify.

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Health Imaging

FEBRUARY 1, 2024

Emergency units often lack 24/7 coverage by radiologists, presenting an opportunity for AI to aid in diagnostics.

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X-ray Radiologist Diagnostic 287

AuntMinnie

DECEMBER 11, 2023

AI algorithms appear to have clinical value based on detecting normal x-rays – that is, by flagging chest x-rays as normal versus abnormal, they may reduce reading times for radiologists, according to research presented recently at the RSNA meeting in Chicago.

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AuntMinnie

FEBRUARY 12, 2024

There are cases where an AI can outperform a human, and vice versa, but, if it’s done right, neither the AI nor the radiologist can outperform a human-AI partnership,” wrote. But what would this look like? Click below to learn more about the authors’ vision.

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X-ray Radiography Radiologist Radiology 277

AuntMinnie

APRIL 23, 2024

Carbon dioxide emissions vary by imaging modality and are higher for MRI and CT compared with ultrasound and x-rays. She told AuntMinnie.com that this includes building diverse teams that include all key stakeholders, including radiologists, technologists, leadership, IT, and facilities management.

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Health Imaging

AUGUST 20, 2024

The tool correctly excludes pathology on chest radiographs with accuracy rates similar to those of radiologists.

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