Radiology has the power to reveal what remains invisible — and three hot-off-the-press publications from NEJM, Brain, Behavior, and Immunity, and JACC: Cardiovascular Imaging prove exactly that.

In this episode of Artifact-Free, we spotlight groundbreaking imaging advances in seemingly “hidden” diseases:

• Liver: How cutting-edge MRI and ultrasound techniques can non-invasively detect fat and fibrosis in Metabolic Dysfunction–Associated Steatotic Liver Disease (MASLD) — reducing the need for biopsy.
• Brain: What a novel MRI method (WEPCAST) uncovers about blood-brain barrier disruption in Long COVID — and its correlation with motor impairments.
• Heart: How AI-powered echocardiography (“ultrasomics”) detects subtle textural changes to identify acute myocardial infarction earlier — potentially transforming emergency diagnostics.

👉 Together, these studies bridge the spectrum from chronic conditions to post-viral syndromes and acute emergencies — showing how radiology is pushing the boundaries of medicine by making the unseen, seen.

In this episode of artifact-free, we explore the groundbreaking study showing that GPT-5 now outperforms human experts in multimodal medical reasoning. From USMLE exams to complex clinical cases combining imaging and patient data, GPT-5 demonstrates accuracy and reasoning skills that surpass previous models and even trained physicians.

We discuss what multimodal reasoning means in practice, how GPT-5 achieved state-of-the-art results, and what this could mean for the future of clinical decision support and radiology.

🎧 Tune in to discover how close we are to a new era where AI becomes a trusted partner in everyday medicine.

In this episode of Artifact-Free, we bring you three hot-off-the-press studies in radiology – all in just ten minutes.
Each one shows how our field is becoming not only more precise, but also gentler for patients.

1. FDG-PET/CT vs. conventional staging in locally advanced breast cancer
   A new study reveals that PET/CT significantly improves the detection of oligometastatic disease – and can directly influence treatment decisions.
   → Metser U et al., Radiology, 2025 (Read the study)
2. Radiomics in hepatocellular carcinoma (HCC)
   AI-powered radiomics from MRI data enables a “digital biopsy” – non-invasive, precise, and offering deeper insights into tumor biology.
   → Matuschweski NJ et al., Radiology, 2025 (Read the study)
3. Audiovisual distraction in pediatric MRI
   With audiovisual distraction, sedation rates in children can be reduced by nearly 29 percentage points – without compromising image quality.
   → Boriosi J et al., Pediatric Radiology, 2025 (Read the study)