Alle Papers – Machine Learning im Gesundheitswesen

Artificial Intelligence in Medicine

Gemini Goes to Med School: Exploring the Capabilities of Multimodal Large Language Models on Medical Challenge Problems & Hallucinations

Impact of UTAUT Predictors on the Intention and Usage of Electronic Health Records and Telemedicine from the Perspective of Clinical Staffs

Bibliometric Overview of ChatGPT: New Perspectives in Social Sciences

Explainable AI enables clinical trial patient selection to retrospectively improve treatment effects in schizophrenia

Operationalising fairness in medical AI adoption: detection of early Alzheimer’s disease with 2D CNN

Predicting neonatal respiratory distress syndrome and hypoglycaemia prior to discharge: Leveraging health administrative data and machine learning

A Method to Learn Embedding of a Probabilistic Medical Knowledge Graph: Algorithm Development

Big Data and Its Role in Health Economics and Outcomes Research: A Collection of Perspectives on Data Sources, Measurement, and Analysis

A Unified Review of Deep Learning for Automated Medical Coding

Towards new frontiers of healthcare systems research using artificial intelligence and generative AI

A decision support system for primary headache developed through machine learning

An Overview of Statistical Methods for the Classification and Retrieval of Patient Events

Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis

A Research Survey on State of the art Heart Disease Prediction Systems

Uncertainty Quantification and Interpretability for Clinical Trial Approval Prediction

Digital biomarkers and sex impacts in Alzheimer’s disease management — potential utility for innovative 3P medicine approach

Comparative Assessment of Machine Learning Models for Predicting Glucose Intolerance Risk

Machine Learning Workflow to Explain Black-Box Models for Early Alzheimer’s Disease Classification Evaluated for Multiple Datasets

Considerations for Improving the Portability of Electronic Health Record-Based Phenotype Algorithms.

Predictive models for severe sepsis in adult ICU patients

The future of home testing—implications for traditional laboratories

Adversarial target-invariant representation learning for domain generalization

A Framework (SOCRATex) for Hierarchical Annotation of Unstructured Electronic Health Records and Integration Into a Standardized Medical Database: Development and Usability Study

Exploration of critical care data by using unsupervised machine learning