Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 1 to 10 of 225,341 articles

Integrating structured and unstructured EHR data to characterize social and behavioral factors associated with frequent emergency department use among patients with cardiovascular disease

medRxiv
Objective: The goal was to integrate structured and unstructured data from the electronic health record (EHR) to identify social and behavioral determinants of health (SBDH) factors and evaluate their association with high emergency department (ED) u... read more 

Self-supervised plasma proteomic representations for prospective disease prediction across varying protein availability

medRxiv
Large-scale plasma proteomics offers opportunities to characterize disease susceptibility and improve prospective risk prediction, but transferring proteomic predictors across datasets remains challenging because measured protein sets differ across c... read more 

Effective tumor kinetics inferred from single routine H&E biopsies enable counterfactual virtual radiotherapy trials

medRxiv
Routine H&E-histopathology captures spatial snapshots of tumor ecosystems, yet computational pathology largely treats them as textures without explicit links to underlying kinetics. We show that patient-specific parameters of a mechanistic reaction-d... read more 

The Challenge of Rendering Abnormalities Accurately Using Deep Learning-Based Reconstruction in Accelerated Brain MRI: A Disproportionate Loss of Clinically Relevant Image Information at Higher Rates of Acceleration.

Investigative radiology
OBJECTIVES: Deep learning (DL)-based reconstruction methods can substantially accelerate MRI acquisition while preserving image quality relative to traditional techniques. However, concerns remain regarding their ability to accurately reconstruct abn... read more 

Peptide Aptamers: Innovative Design and Applications in Pathogen Detection.

Chembiochem : a European journal of chemical biology
Peptide aptamers are short synthetic peptides that recognize targets with high affinity and specificity, offering advantages over antibodies and nucleic acid aptamers in size, structural flexibility, biocompatibility, and ease of chemical modificatio... read more 

Novel Use of an AI-Based Video Interpolation Algorithm to Reduce Radiation Dose in the Cardiac Catheterization Laboratory.

Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions
BACKGROUND: Radiation dose reduction is a target for innovation in cardiology. Frame rate reduction during image acquisition in coronary angiography reduces radiation dose but at the cost of clinical information. Video frame interpolation (VFI) is an... read more 

Artificial Intelligence at the Boundary of Spiritual Experience and Psychopathology: A Scoping Review of Evidence from Türkiye, the USA, the UK, Poland, South Korea, and Israel.

Journal of religion and health
The rapid integration of artificial intelligence (AI) into everyday life has created new intersections among digital technology, spirituality, mystical experience, and psychopathology. This scoping review aimed to map evidence on how AI mediates, rei... read more 

Clinical usability of an explainable AI decision support tool and evaluation of multimodal models in NSCLC.

Nature medicine
Despite a decade in, immunotherapy (IO) treatment selection in non-small cell lung cancer (NSCLC) remains largely guided by subgroup analyses and imperfect programmed death ligand 1 (PD-L1) and clinical scores. To our knowledge, I3LUNG ( NCT05537922 ... read more 

Radiomics and dosiomics in radionecrosis prediction in brain metastasis treated with Stereotactic Radiation Therapy: a machine learning approach.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
INTRODUCTION: Stereotactic Radiotherapy plays a main role in Brain Metastases treatment. Radiomics and Dosiomics, coupled with Machine Learning approaches are emerging in radiation oncology as support in clinical decision-making workflow. In this stu... read more 

Development and evaluation of a deep learning model for computer-aided diagnosis of neonatal pneumothorax on chest radiographs.

Pediatric radiology
BACKGROUND: Neonatal pneumothorax can progress rapidly, yet detection on supine chest radiographs remains challenging. OBJECTIVE: To develop and evaluate an artificial intelligence model for detecting pneumothorax on supine neonatal chest radiographs... read more