In a recent interview, Steven Raman, M.D., discussed the use of MRI-guided transurethral ultrasound (TULSA) in the treatment of intermediate risk prostate cancer and key research findings with one- and five-year outcomes.

While noting a variety of pitfalls with the chatbot ranging from hallucinations to improper citations, the review authors found the use of ChatGPT in radiology demonstrated “high performance” in 37 out of 44 studies.

Applying principles of personality theory to one’s development as a radiologist, this author discusses trust in what is bring taught, autonomy and interactions with peers.

Catch up on the most-well viewed radiology content in April 2024.

Catch up on the top radiology content of the past week.

Reportedly the smallest and thinnest implantable spinal cord stimulator (SCS) device, the Inceptiv closed-loop SCS modality allows access to 1.5T and 3T full-body MRI without power restrictions.

Catch up on the top AI-related news and research in radiology over the past month.

An emerging deep learning radiomics model, based on B-mode ultrasound and color Doppler flow imaging, demonstrated a 91 percent AUC for predicting lymphovascular invasion in a multicenter study of women with invasive breast cancer.

Combining a support crossing catheter with intravascular ultrasound imaging, the Provisio SLT IVUS System offers simultaneous real-time visualization and measurement of vessel lumen.

One of the recommendations from the European Society of Breast Imaging (EUSOBI) is annual breast MRI exams starting at 25 years of age for women deemed to be at high risk for breast cancer.

In a recent interview, Kenneth J. Pienta, M.D., discussed the impact of piflufolastat F18, current directions in research with other PSMA-targeted radiotracers and future possibilities for the role of PSMA PET in the imaging paradigm for prostate cancer.

In comparison to energy-integrating detector CT for the workup of suspected acute pulmonary embolism, the use of photon-counting detector CT reduced radiation dosing by 48 percent, according to newly published research.

The artificial intelligence (AI)-powered applications reportedly allow clinicians to diagnose pulmonary edema and measure left ventricle ejection fraction within seconds.

Review the case and test your knowledge to make the correct diagnosis.

In addition to advanced imaging quality and dose efficiency, the Philips Zenition 30 mobile C-arm device emphasizes personalized user profiles and automated customization to help reduce procedure time.