Current medical AI articles

Original Title: Navigating the digital health landscape from artificial intelligence-driven molecular subtyping towards optimized rare sarcoma trial design Journal: International journal of surgery (London, England) DOI: 10.1097/JS9.0000000000003040 Overview This correspondence discusses a deep learning framework developed by He and colleagues for the molecular subtyping of leiomyosarcoma using histopathological images. The original study introduced the LMS_DL…

Original Title: Characterizing the Immune Response in Pig-to-human Heart Xenografts Using a Multimodal Diagnostic System Journal: Circulation DOI: 10.1161/CIRCULATIONAHA.125.074971 Overview This study aimed to characterize the early immune response in genetically modified pig hearts transplanted into humans. Researchers analyzed biopsies from two 10-gene-edited pig hearts 66 hours after transplantation into brain-dead human recipients. They employed…

Original Title: Adoption of Artificial Intelligence in the Health Care Sector Journal: JAMA health forum DOI: 10.1001/jamahealthforum.2025.5029 Overview This study investigated the adoption of artificial intelligence (AI) in the US health care sector compared to other industries from September 2023 to May 2025. Using data from the US Census Bureau's Business Trends and Outlook Survey,…

Original Title: Development and validation of a multidimensional and interpretable artificial intelligence model to predict gout recurrence in hospitalised patients: a real-world, ambispective multicentre cohort study in China Journal: BMC medicine DOI: 10.1186/s12916-025-04454-8 Overview Researchers addressed the challenge of predicting gout recurrence in hospitalized patients with other health conditions. This large, multicentre study in China…

Original Title: Structural rather than functional brain alterations that characterize the differences between major depressive disorder and primary insomnia: a comparative meta-analysis Journal: BMC medicine DOI: 10.1186/s12916-025-04442-y Overview Major depressive disorder (MDD) and primary insomnia (PI) share overlapping symptoms, complicating diagnosis. This study conducted a comparative meta-analysis to identify shared and distinct brain alterations in…

Original Title: Teaching AI for Radiology Applications: A Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM Journal: Radiology. Artificial intelligence DOI: 10.1148/ryai.250137 Overview This paper presents a recommended syllabus for artificial intelligence (AI) education in radiology, developed through a collaboration of four major U.S. societies: the American Association of Physicists in Medicine (AAPM), the…

Original Title: Computational ranking identifies Plexin-B2 in circulating tumor cell clustering with monocytes in breast cancer metastasis Journal: Nature communications DOI: 10.1038/s41467-025-62862-z Overview Circulating tumor cell (CTC) clusters are significantly more effective at seeding metastases than single CTCs, but the molecular mechanisms driving their formation are not fully understood. This study employed a computational ranking…

Original Title: Development and validation of a multimodal automatic interictal epileptiform discharge detection model: a prospective multi-center study Journal: BMC medicine DOI: 10.1186/s12916-025-04316-3 Overview Researchers developed and tested a deep learning model, vEpiNetV2, to automatically detect interictal epileptiform discharges (IEDs), which are key biomarkers for epilepsy. The model is multimodal, meaning it analyzes both electroencephalogram…

Original Title: Leveraging large language models for the deidentification and temporal normalization of sensitive health information in electronic health records Journal: NPJ digital medicine DOI: 10.1038/s41746-025-01921-7 Overview OverviewSharing electronic health records (EHRs) for research is vital but requires the removal of sensitive health information (SHI) to protect patient privacy. This process, known as de-identification, also…

Original Title: Benefit-Risk Reporting for FDA-Cleared Artificial Intelligence-Enabled Medical Devices Journal: JAMA health forum DOI: 10.1001/jamahealthforum.2025.3351 FDA AI/ML Device Reporting Lacks Transparency Overview A comprehensive analysis of 691 artificial intelligence and machine learning (AI/ML) medical devices cleared by the US Food and Drug Administration (FDA) between 1995 and 2023 reveals significant deficiencies in benefit-risk reporting.…