https://www.auntminnie.com/clinical-news/ct/article/15827824/ai-matches-physicians-in-pancreatic-cancer-detection-on-ctAuntMinnieen2026-06-16T17:45:09.000ZAI models match physicians in pancreatic cancer detection on CThttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/canvas.sVQdv4HNIL.png?auto=format%252Ccompress&q=70Representative images in patients with pancreatic cancer (PC) diagnosed by the deep learning (DL) models. Original axial images (left), corresponding segmentation-masked images (middle), and DL model outputs (right) are shown. The segmented areas of the pancreatic parenchyma, main pancreatic duct (MPD), and pancreatic masses are indicated by yellow, teal, and red overlay, respectively. (A) Contrast-enhanced CT (CECT) images in an 84-year-old man with worsening diabetes mellitus show a 10-mm mass in the pancreatic body with upstream MPD stenosis and dilatation and parenchymal atrophy. The tumor was pathologically confirmed as PC (T1b). (B) CECT images in an 83-year-old man undergoing postoperative surveillance for gastric gastrointestinal stromal tumor show MPD stenosis and dilatation with parenchymal atrophy without a visible mass. The tumor was pathologically confirmed as PC (tumor in situ). (C) Noncontrast CT (NCCT) images in a 65-year-old man undergoing follow-up for mantle cell lymphoma show a 32-mm mass in the pancreatic head with MPD stenosis and dilatation. The tumor was pathologically confirmed as PC (T2). (D) NCCT images in an 81-year-old woman with abdominal distension show MPD stenosis and dilatation with parenchymal atrophy without a visible mass. The tumor was pathologically confirmed as PC (T1b).https://www.auntminnie.com/clinical-news/interventional/article/15827724/gae-effective-for-knee-pain-up-to-12-monthsAuntMinnieen2026-06-16T15:10:12.000ZGAE effective for knee pain up to 12 monthshttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/gae-12-months.E2qOVtw2vp.jpg?auto=format%252Ccompress&q=70Digital subtraction angiography images of the right knee joint of a 62-year-old participant with predominantly medial knee osteoarthritis. (A) Peri-interventional image of the popliteal artery. Yellow arrow indicates the descending genicular artery, and blue arrow indicates the medial inferior genicular artery. (B, C) Selective preinterventional images show hypervascularity of two branches of the genicular artery: the (B) descending genicular artery (arrow) and the (C) medial inferior genicular artery (arrow). (D, E) Selective postinterventional images obtained after embolization with rapidly resorbable gelatin-based microspheres. Complete elimination of the blush is observed, with preserved perfusion of the proximal arterial segments.https://www.auntminnie.com/clinical-news/mri/article/15827726/mri-scans-link-poverty-not-iq-to-childrens-brain-differencesAuntMinnieen2026-06-15T20:46:54.000ZMRI scans link poverty, not IQ, to children's brain differenceshttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/am2019-02-20-20-38-9544-mri-brain-head-400.wbBkuA4OEl.avif?auto=format%252Ccompress&q=70https://www.auntminnie.com/clinical-news/molecular-imaging/nuclear-medicine/article/15827697/new-immunopet-tracer-shows-promise-in-prostate-cancerAuntMinnieen2026-06-15T18:20:48.000ZNew immuno-PET tracer shows promise in prostate cancerhttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/dfo-pet.uvVAw631pI.jpg?auto=format%252Ccompress&q=70A 74-year-old patient with metastatic prostate cancer with a positive left iliac wing lesion (SUVmax of 35.02) seen on (A) Zr-89 DFO-YS5 PET maximum projection image (MIP) and (B) PET/CT (red arrows). The lesion was graded 5 on PET but was not visible on CT (D) or (D) technitium-99 MDP bone scan.https://www.auntminnie.com/podcasts/article/15827598/podcast-the-pacsman-pontificates-episode-3-how-real-is-aiAuntMinnieen2026-06-15T14:33:34.000ZPodcast: The PACSMan Pontificates, Episode 3: How real is AI?https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/pacsman-pontification-4.ifhLBsOza4.png?auto=format%252Ccompress&q=70https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/pacsman-pontification.HjWZ3z1F0m.png?auto=format%252Ccompress&q=70https://www.auntminnie.com/editors-note/article/15827573/week-in-review-news-from-siim-rapid-growth-of-ai-in-imaging-llms-energy-tradeoffsAuntMinnieen2026-06-13T07:00:00.000ZWeek in Review: News from SIIM 2026 | Rapid growth of AI | Is the radiologist shortage real?https://www.auntminnie.com/imaging-informatics/article/15827546/siim-nina-kottler-speaks-on-improving-efficiency-with-aiAuntMinnieen2026-06-12T15:57:40.000ZSIIM: Nina Kottler speaks on improving efficiency with AIhttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/screenshot-142.GwEic7EC8X.png?auto=format%252Ccompress&q=70https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/kottler-ed.3SlgDyMdGC.jpg?auto=format%252Ccompress&q=70Nina Kottler, MDhttps://www.auntminnie.com/imaging-informatics/artificial-intelligence/article/15827543/siim-operational-consideration-needed-for-ai-in-radiation-oncologyAuntMinnieen2026-06-12T15:12:59.000ZSIIM: Operational consideration needed for AI in radiation oncologyhttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/img-7161.R2V8S1iEPt.jpg?auto=format%252Ccompress&q=70At SIIM 2026, Rafe McBeth, PhD, shares his team's experience with using a commercial AI system for auto-contouring in radiation oncology.https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/img-6956.LqIni6HYEG.jpg?auto=format%252Ccompress&q=70https://www.auntminnie.com/imaging-informatics/artificial-intelligence/article/15827473/siim-onc-official-urges-smarter-ai-better-image-sharingAuntMinnieen2026-06-11T18:43:00.000ZSIIM: ONC official urges smarter AI, better image sharinghttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/img-7148.Ikf0umS3U5.jpg?auto=format%252Ccompress&q=70Jason Funderburk, MD (right), shares his thoughts on image sharing, AI, and what emerging technologies will bring in the near future in a fireside chat with incoming SIIM board chair Alex Towbin, MD (left).https://www.auntminnie.com/clinical-news/molecular-imaging/article/15827478/psmapetct-halves-biopsy-rate-in-prostate-cancer-patientsAuntMinnieen2026-06-11T18:38:30.000ZPSMA-PET/CT halves biopsy rate in prostate cancer patientshttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/prostate-imaging.1pyNacrD7I.jpg?auto=format%252Ccompress&q=70https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/prostate-3d.01FScppKn1.jpg?auto=format%252Ccompress&q=70https://www.auntminnie.com/imaging-informatics/artificial-intelligence/article/15827437/siim-access-links-to-imaging-reports-could-benefit-rads-patientsAuntMinnieen2026-06-11T15:30:26.000ZSIIM: Access links to imaging reports could benefit rads, patientshttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/img-7088.FwVyNLscQW.jpg?auto=format%252Ccompress&q=70Thangalakshmi Sivathapandi, MD, presents her team's findings showing how an imaging access link embedded within MyChart can lessen workloads for radiologists while also allowing for timely access to imaging reports for patients.https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/img-6956.TWo9KdYolI.jpg?auto=format%252Ccompress&q=70https://www.auntminnie.com/imaging-informatics/article/15827405/siim-interactive-multimedia-reporting-has-benefits-for-radiologistsAuntMinnieen2026-06-11T15:11:42.000ZSIIM: Interactive multimedia reporting has benefits for radiologistshttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/img-7095.3EiT8RXgST.jpg?auto=format%252Ccompress&q=70Annabelle Gaskin presents her team's survey study at SIIM 2026 showing that most radiologists reported positive attitudes toward interactive multimedia reporting.https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/img-6956fjvq1mbuvl.mYWJRuTkCD.avif?auto=format%252Ccompress&q=70https://www.auntminnie.com/imaging-informatics/article/15827411/siim-leaders-reflect-on-rapid-growth-of-ai-in-imagingAuntMinnieen2026-06-11T15:03:46.000ZSIIM leaders reflect on rapid growth of AI in imaginghttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/img-6956.ZqxviLfKpc.jpg?auto=format%252Ccompress&q=70https://www.auntminnie.com/clinical-news/mri/article/15827356/experts-propose-new-mri-standards-for-prostate-cancer-screeningAuntMinnieen2026-06-11T15:01:00.000ZExperts propose new MRI standards for prostate cancer screeninghttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/am2016-10-04-11-38-34-158-prostate-400.wXDsjjWkYM.avif?auto=format%252Ccompress&q=70https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/prostate-cancer-social.rnQw2LVEdM.jpg?auto=format%252Ccompress&q=70https://www.auntminnie.com/imaging-informatics/article/15827376/siim-llms-can-reliably-perform-numerical-tasks-in-radiologyAuntMinnieen2026-06-10T20:07:08.000ZSIIM: LLMs can reliably perform numerical tasks in radiologyhttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/img-6956.z7DnrfOvPr.jpg?auto=format%252Ccompress&q=70https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/img-7001.dE1OkiKbB8.jpg?auto=format%252Ccompress&q=70Ali Nowroozi, MD, presents his findings at SIIM 2026 on how LLMs perform in numerical tasks within radiology.https://www.auntminnie.com/clinical-news/molecular-imaging/article/15827350/early-fapipet-scan-matches-60minute-scans-for-lung-cancer-stagingAuntMinnieen2026-06-10T18:46:25.000ZEarly FAPI-PET scans match 60-minute scans for lung cancer staginghttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/fapi-lung.bVNNzbr85L.jpg?auto=format%252Ccompress&q=70PET/CT images performed at 10- and 60-minutes following injection of Ga-68 FAPI-46 (mean 181 MBq; range 143–225 MBq).https://www.auntminnie.com/resources/conference/siim/2026/article/15827318/siim-llms-have-tradeoffs-in-energy-use-for-imaging-tasksAuntMinnieen2026-06-10T16:13:30.000ZSIIM: LLMs have tradeoffs in energy use for imaging taskshttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/img-6992.2zmSJSjAHg.jpg?auto=format%252Ccompress&q=70Dharmam Savani presents his team's findings at SIIM 2026 showing that reasoning LLMs may not meaningfully improve radiology report labeling over standard LLMs, but do use more energy.https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/img-6956fjvq1mbuvl.F3LY7Mc01y.avif?auto=format%252Ccompress&q=70https://www.auntminnie.com/clinical-news/mri/article/15827317/ai-gives-a-boost-to-cardiac-mri-risk-predictionAuntMinnieen2026-06-10T16:07:07.000ZAI gives a boost to cardiac MRI risk predictionhttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/figure-2.txmF40q2Hk.png?auto=format%252Ccompress&q=70C-index for Cox regression and random survival forests models using two feature sets. Adding historical registry data decreases the C-index for Cox regression but increased it for the random survival forests model, consistent with the non-linear structure in the registry data.https://www.auntminnie.com/imaging-informatics/artificial-intelligence/article/15827264/philips-philips-future-health-index-quantifies-benefits-of-ai-in-healthcareAuntMinnieen2026-06-10T15:13:18.000ZPhilips Future Health Index quantifies benefits of AI in healthcarehttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/future-health-index-logo-png.D0CbLsGuys.png?auto=format%252Ccompress&q=70https://www.auntminnie.com/clinical-news/ultrasound/article/15827217/msk-ai-tool-for-ultrasound-shows-promise-for-assisting-novice-imagersAuntMinnieen2026-06-09T19:27:34.000ZMSK AI tool for ultrasound shows promise for assisting novice imagershttps://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/tang-et-al-06-09-2026-us-radiol251268-fig4.MA3qm2AaI8.jpg?auto=format%252Ccompress&q=70AI-acquired standardized planes. Example ultrasound images acquired in clinical settings with the on-cart, AI-based software, illustrating automated acquisition and anatomic annotation of three standard planes: <strong>(A)</strong> S5 dorsal longitudinal plane of the wrist joint, <strong>(B)</strong> S11 transverse section of the proximal carpal tunnel, and <strong>(C)</strong> S14 transverse section of the second and third flexor tendons. A1 = trochlea A1, Cap = capitate, C-M.JS = recess of the capitate-metacarpal joint, D&Ss = flexor digitorum profundus and superficialis tendons, FCR = flexor carpi radialis tendon, FD = flexor digitorum tendon, FPL = flexor pollicis longus tendon, L-C.JS = recess of the lunate-capitate joint, Lun = lunate, MN = median nerve, Pis = pisiform, Rad = radius, R-C.JS = recess of the radiocarpal joint, Sca = scaphoid, UA = ulnar artery, UN = ulnar nerve, 3rd Met = third metacarpal.