Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 6,466 articles

Graph theoretic and machine learning approaches in molecular property prediction of bladder cancer therapeutics.

Scientific reports Jul 31, 2025
This work introduces a hybrid computational approach in which degree-based topological descriptors are harnessed with the aid of advanced regression models and artificial neural networks (ANNs) to predict the crucial physicochemical properties of 17 ... read more 
Neural Networks, Computer Machine Learning Antineoplastic Agents Humans Urinary Bladder Neoplasms

Classification accuracy of pain intensity induced by leg blood flow restriction during walking using machine learning based on electroencephalography.

Scientific reports Jul 31, 2025
Pain assessment in clinical practice largely relies on patient-reported subjectivity. Although previous studies using fMRI and EEG have attempted objective pain evaluation, their focus has been limited to resting conditions. This study aimed to class... read more 
Regional Blood Flow Leg Adult Electroencephalography Algorithms Humans Male Female Walking Machine Learning Pain Measurement Young Adult Pain

A qualitative study on ethical issues related to the use of AI-driven technologies in foreign language learning.

Scientific reports Jul 31, 2025
The current situation in the use of AI-driven technologies in education has seen an unprecedented rise, however, the impact of these technologies from the perspective of ethical issues is largely unknown. The aim of the research is to provide a clear... read more 
Surveys and Questionnaires Learning Female Adult Male Qualitative Research Humans Artificial Intelligence Language

Uncovering active ingredients and mechanisms of Pholiota adiposa in the treatment of Alzheimer's disease based on network pharmacology and bioinformatics.

Scientific reports Jul 31, 2025
Pholiota adiposa is recognized for its health benefits, particularly in Alzheimer's disease (AD), but its molecular mechanism remains elusive. Our study employs network pharmacology and machine learning to uncover its therapeutic potential. We constr... read more 
Humans Machine Learning Molecular Dynamics Simulation Molecular Docking Simulation Alzheimer Disease Computational Biology Network Pharmacology Drugs, Chinese Herbal

The need for guardrails with large language models in pharmacovigilance and other medical safety critical settings.

Scientific reports Jul 31, 2025
Large language models (LLMs) are useful tools with the capacity for performing specific types of knowledge work at an effective scale. However, LLM deployments in high-risk and safety-critical domains pose unique challenges, notably the issue of "hal... read more 
Humans Patient Safety Language Adverse Drug Reaction Reporting Systems Large Language Models Natural Language Processing Drug-Related Side Effects and Adverse Reactions Pharmacovigilance

Explainable machine learning for predicting ICU mortality in myocardial infarction patients using pseudo-dynamic data.

Scientific reports Jul 31, 2025
Myocardial infarction (MI) remains one of the greatest contributors to mortality, and patients admitted to the intensive care unit (ICU) with myocardial infarction are at higher risk of death. In this study, we use two retrospective cohorts extracted... read more 
Hospital Mortality Intensive Care Units Myocardial Infarction Algorithms Female Aged Humans Databases, Factual Male Retrospective Studies Machine Learning Middle Aged

A successive framework for brain tumor interpretation using Yolo variants.

Scientific reports Jul 31, 2025
Accurate identification and segmentation of brain tumors in Magnetic Resonance Imaging (MRI) images are critical for timely diagnosis and treatment. MRI is frequently used to diagnose these disorders; however medical professionals find it challenging... read more 
Image Interpretation, Computer-Assisted Humans Brain Neoplasms Image Processing, Computer-Assisted Neural Networks, Computer Magnetic Resonance Imaging Algorithms

Development of a novel deep learning method that transforms tabular input variables into images for the prediction of SLD.

Scientific reports Jul 31, 2025
Steatotic liver disease (SLD), formerly named fatty liver disease, has a prevalence estimated at 30-38% in adults. Detection of SLD is important, since prompt initiation of treatment can stop disease progression, lead to a reduction in adverse outcom... read more 
Adult Sensitivity and Specificity Male Humans Female Non-alcoholic Fatty Liver Disease Middle Aged ROC Curve Deep Learning Image Processing, Computer-Assisted Fatty Liver

Dual prompt personalized federated learning in foundation models.

Scientific reports Jul 31, 2025
Personalized federated learning (PFL) has garnered significant attention for its ability to address heterogeneous client data distributions while preserving data privacy. However, when local client data is limited, deep learning models often suffer f... read more 
Humans Machine Learning Deep Learning Models, Theoretical Federated Learning

Artificial intelligence-integrated video analysis of vessel area changes and instrument motion for microsurgical skill assessment.

Scientific reports Jul 31, 2025
Mastering microsurgical skills is essential for neurosurgical trainees. Video-based analysis of target tissue changes and surgical instrument motion provides an objective, quantitative method for assessing microsurgical proficiency, potentially enhan... read more 
Anastomosis, Surgical Neurosurgical Procedures Video Recording Humans Artificial Intelligence Algorithms Clinical Competence Microsurgery
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