Erik L. Ridley[email protected]2023 AI PreviewRoad to RSNA 2023: AI PreviewWelcome to the first installment of this year’s Road to RSNA preview of the RSNA 2023 meeting. We’re once again providing a modality-by-modality overview of select scientific presentations to serve as your guide to events at McCormick Place.November 9, 20232023 AI PreviewAI software flags missed intracranial aneurysms on CTAIn this talk, researchers from Tel Aviv University in Israel will describe how an AI algorithm can retrospectively detect intracranial aneurysms that had been missed on CT angiography (CTA) exams.November 8, 20232023 AI PreviewAI analysis of chest CT exams predicts cardiovascular diseaseA deep-learning algorithm can predict a patient’s risk of atherosclerotic cardiovascular disease from analysis of a single chest CT image, according to a group of researchers from Harvard Medical School.November 8, 20232023 AI PreviewAI algorithm predicts morbidity, mortality on spine DEXA examsIn this Tuesday morning talk, researchers will describe how a deep-learning algorithm’s assessment of biological age on dual-energy x-ray absorptiometry (DEXA) exams can facilitate morbidity and mortality predictions.November 8, 20232023 AI PreviewCT body composition metrics portend post-TIPS mortalityCT body composition metrics calculated by an AI model can improve mortality predictions in patients receiving a transjugular intrahepatic portosystemic shunt (TIPS), according to this presentation.November 8, 20232023 AI PreviewMachine-learning model detects, characterizes rib fractures on CTA machine-learning model can detect traumatic rib fractures on CT scans and automatically provide a fracture severity score, according to this scientific presentation.November 8, 20232023 AI PreviewAI algorithm helps to spot overlooked fracturesIn this talk, researchers will highlight the potential for AI software in detecting fractures that are often missed on radiographs.November 8, 20232023 AI PreviewAI methods improve detection of Parkinson’s diseaseA systematic review has found that machine-learning and deep-learning techniques are highly sensitive and specific for detecting Parkinson’s disease on dopamine transporter SPECT exams.November 8, 20232023 AI PreviewLarge language-image model segments organs, detects cancerIn this presentation, researchers will share how large language-image models can automatically segment 25 abdominal organs on CT exams and detect six tumor types.November 8, 20232023 AI PreviewGenerative AI enables patient-specific THA surgical templatingGenerative AI technology shows potential for making surgical planning for total hip arthroplasty (THA) more efficient.November 8, 2023Previous PagePage 20 of 21Next PageTop StoriesNuclear MedicineEANM: Is ‘research fragmentation’ holding back nuclear medicine?Well-designed studies require collaboration among nuclear medicine, medical oncology, urology, radiation oncology, and clinical trial support.CTPCCT improves image quality when scanning patients with obesityWomens ImagingKaiser score outperforms MRI BI-RADS for inconclusive breast findingsMolecular ImagingFAPI-PET detects more HCC lesions than FDG-PETHomeLLMs mostly avoid unnecessary care in Choosing Wisely tests
![Comparative PET/CT scan images showing [18F]FAPI and [18F]FDG imaging with MIP projections, fusion views, and CT cross-sections for medical diagnosis](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/10/fapi-vs-fdg.nL6Acp6W2i.jpg?auto=format%2Ccompress&fit=crop&h=167&q=70&w=250)
