Current medical AI articles

  • Federated Data and Sepsis Management in the EHDS

    Original Title: The next frontier in sepsis: connected ICU data for real-world clinical decision making Journal: Intensive care medicine DOI: 10.1007/s00134-025-08284-3 Overview Sepsis is a major healthcare challenge, causing one in five deaths globally and affecting approximately 49 million individuals every year. In Europe, hospital treatment costs range from 16,000 euros in France to over…

  • Deep Learning for HCC Biomarkers and Drug Discovery

    Original Title: Deep learning facilitated discovery of prognosis biomarkers and their ligands to improve liver cancer treatment Journal: International journal of surgery (London, England) DOI: 10.1097/JS9.0000000000003455 Overview The DLCP framework improves clinical prognosis for hepatocellular carcinoma by integrating genomics, transcriptomics, and epigenetics directly with survival outcomes. Analyzing 371 patients from The Cancer Genome Atlas, the…

  • AI Prediction of Sepsis in Major Trauma Patients

    Original Title: Letter to editor about prediction of sepsis among patients with major trauma using artificial intelligence: a multicenter validated cohort study Journal: International journal of surgery (London, England) DOI: 10.1097/JS9.0000000000003353 Overview This correspondence discusses a multicenter validated cohort study focused on predicting sepsis in patients who have experienced major trauma through the application of…

  • Evolution and Integration of Telerobotic Surgery Systems

    Original Title: Telerobotic surgery: a comprehensive two-decade evolution and the integration of emerging technologies Journal: International journal of surgery (London, England) DOI: 10.1097/JS9.0000000000003484 Overview OverviewTelerobotic surgery has progressed from early conceptual stages to a sophisticated clinical reality over the last two decades. Initially envisioned by NASA in 1972 for orbital missions, the field achieved a…

  • Expert Consensus on Sonazoid CEUS for Liver Lesions

    Original Title: Expert consensus regarding the clinical application of liver contrast-enhanced US with Sonazoid (Sonazoid CEUS) Journal: International journal of surgery (London, England) DOI: 10.1097/JS9.0000000000003510 Overview This document presents an expert consensus on the clinical use of Sonazoid contrast-enhanced ultrasound for managing focal liver lesions. Sonazoid is a second-generation agent that functions as both a…

  • AI for Cancer Risk Assessment in Oral Disorders

    Original Title: Artificial Intelligence in cancer risk assessment of oral potentially malignant disorders: applications and challenges Journal: International journal of surgery (London, England) DOI: 10.1097/JS9.0000000000003363 Overview This article examines the role of artificial intelligence in evaluating the risk of malignant transformation in oral potentially malignant disorders. Traditionally, clinicians rely on oral epithelial dysplasia grading to…

  • Wearable AI-ECG Age and Its Link to Atrial Fibrillation

    Original Title: Wearable device derived electrocardiographic age and its association with atrial fibrillation Journal: NPJ digital medicine DOI: 10.1038/s41746-026-02344-8 Overview This research introduces the PROPHECG-Age Single model, a deep-learning framework designed to estimate electrocardiographic age from single-lead wearable recordings. This approach enables continuous monitoring of cardiovascular aging in real-world settings. The study utilized a dataset…

  • Multimodal Cancer Prognosis via Clinical Prompt Integration

    Original Title: Multimodal deep learning for cancer prognosis prediction with clinical information prompts integration Journal: NPJ digital medicine DOI: 10.1038/s41746-025-02257-y Overview Survival analysis is a critical component of oncological care, providing the scientific basis for treatment planning and outcome evaluation. While multimodal deep learning has advanced this field by integrating pathology images and genomic data,…

  • Scalable Protein Stability Prediction via Generative Models

    Original Title: Generalizable and scalable protein stability prediction with rewired protein generative models Journal: Nature communications DOI: 10.1038/s41467-025-67609-4 Overview Protein stability, typically measured by changes in Gibbs free energy (ΔΔG), is a fundamental property that dictates protein function and engineering potential. Accurately predicting how mutations influence this stability remains a significant challenge due to the…

  • Volumetric Brain Matter Changes in Mild Cognitive Impairment

    Original Title: Biomarkers Journal: Alzheimer's & dementia : the journal of the Alzheimer's Association DOI: 10.1002/alz70856_106355 Overview Mild cognitive impairment (MCI) serves as a critical transitional stage between the typical cognitive changes of aging and the onset of Alzheimer's disease. This study explores structural brain alterations associated with this condition by quantifying gray matter and…