Imaging Informatics: Page 26

CT radiomics predict lymph node metastasis in bladder cancer patients

By Kate Madden Yee

A deep-learning model that combines CT radiomics and clinical information shows promise for predicting lymph node metastasis in bladder cancer patients, researchers have reported.

January 29, 2024

Automated protocoling algorithm reduces radiologist CT workload

By Kate Madden Yee

An automated protocoling algorithm used with a hospital's electronic health record software reduces radiologist CT exam workload, a recent report found.

January 18, 2024

ChatGPT-4 shows improvement over GPT-3.5 in text-based imaging cases

By Amerigo Allegretto

ChatGPT-4 has greater diagnostic accuracy than ChatGPT-3.5 when assessing text-based medical imaging cases.

January 18, 2024

Artificial Intelligence Ai Hand 400 (1)

MRI radiomics help predict cervical cancer treatment outcomes

By Kate Madden Yee

"Handcrafted" radiomics and deep-learning radiomics based on pretreatment MRI data could help predict locally advanced cervical cancer concurrent chemoradiotherapy treatment outcomes.

January 17, 2024

Signify Research’s medical imaging predictions for 2024

By Kelly Patrick

Signify Research has released its top 10 predictions for the medical imaging market in 2024, including five for imaging IT and AI and five for modalities.

January 16, 2024

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Reimbursement issues give impetus to AI adoption

By Sanjay M. Parekh, PhD

Adoption of AI solutions remains nascent and inconsistent. The market has yet to see widespread adoption of medical AI technologies, as Sanjay M. Parekh, PhD, explains.

January 15, 2024

Artificial Intelligence Ai Suit

ChatGPT identifies incidental CT findings

By Amerigo Allegretto

ChatGPT-4 performs well in identifying incidental findings on CT via a process called single-shot learning.

January 11, 2024

Computer Brain Ai 400 (1)

Radiologists in Europe ramp up testing of AI

Four out of seven commercially available AI algorithms for detecting lung nodules on x-rays performed better than human readers in a recent study.

January 11, 2024

Example chest x-rays from a public test set illustrate algorithm and reader similarities to and discrepancies from the reference standard. A specialized radiologist determined the reference standard score (0, no nodule present; 100, one or more nodules present), and algorithms and human readers provided a probability score between 0 and 100 for each patient of the likelihood that the patient was a nodule case. (A) Radiograph in a man (age, 72 years) with a nodule present (reference standard score, 100) shows a true-positive result based on the average algorithm scores. (B) Radiograph in a man (age, 68 years) without a nodule present (reference standard score, 0) shows a true-negative result based on the average algorithm scores. (C) Radiograph in a woman (age, 64 years) without a nodule present (reference standard score, 0) shows a false-positive result based on the average algorithm scores. (D) Radiograph in a man (age, 37 years) with a nodule present (reference standard score, 100) shows a false-negative result based on the average algorithm scores. Corresponding lateral images and CT scans (when available) for these patients are presented in Figure S2 (supplementary data). The images shown in this figure were part of a public subset and not part of the set on which metrics are reported, which remains confidential for reevaluation in the future. Algorithm scores provided for the images are raw, uncalibrated scores and cannot be directly compared to each other; they are provided for indicative purposes only. Image and caption courtesy of Radiology.

VR test differentiates between novice, expert ultrasound users

By Amerigo Allegretto

An immersive virtual reality-based test can distinguish between operators with varying levels of thoracic ultrasound skill.

January 9, 2024

Virtual Reality Vr Polygonal Man 400

Could ChatGPT pass the U.K.’s radiology fellowship exam?

ChatGPT might be able to pass the current benchmark exam for qualification as a radiologist in the U.K.

January 8, 2024

ChatGPT gives 'mostly' appropriate responses for breast pathology

By Amerigo Allegretto

ChatGPT could be an accessible source of information for women waiting to discuss breast biopsy results with their healthcare practitioners.

January 5, 2024

Artificial Intelligence Ai Binary Code 400

Cyberattacks: What can radiology do to boost protection?

In the wake of the 2021 attack on the Irish health system, authors from Cork have written about their experiences and how they've modified their approach to cybersecurity.

January 5, 2024

Cyberattack Hacker

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