Alle Papers – Machine Learning im Gesundheitswesen

Clinical concept and relation extraction using prompt-based machine reading comprehension

Knowledge-driven machine learning based framework for early-stage disease risk prediction in edge environment

The Development and Validation of Simplified Machine Learning Algorithms to Predict Prognosis of Hospitalized Patients With COVID-19: Multicenter, Retrospective Study

Clustering cliques for graph-based summarization of the biomedical research literature

Application of machine learning in measurement of ageing and geriatric diseases: a systematic review

Modeling cancer clinical trials using HL7 FHIR to support downstream applications: A case study with colorectal cancer data

Applications of Artificial Intelligence in Healthcare

Stochastic Latent Residual Video Prediction

Patient wisdom should be incorporated into health AI to avoid algorithmic paternalism

Ontologies Applied in Clinical Decision Support System Rules: Systematic Review

Prediction of Chronic Disease-Related Inpatient Prolonged Length of Stay Using Machine Learning Algorithms

AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data

Demystifying the Black Box: The Importance of Interpretability of Predictive Models in Neurocritical Care

NRTSI: Non-Recurrent Time Series Imputation

Explainable Artificial Intelligence for Magnetic Resonance Imaging Aging Brainprints: Grounds and challenges

RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models

Delirium prediction in the ICU: designing a screening tool for preventive interventions

Intricacies of human–AI interaction in dynamic decision-making for precision oncology

ECG Synthesis via Diffusion-Based State Space Augmented Transformer

Machine learning in asthma research: moving toward a more integrated approach

DreaMR: Diffusion-Driven Counterfactual Explanation for Functional MRI

Understanding gut microbiome‐based machine learning platforms: A review on therapeutic approaches using deep learning

Zero-Check: A Zero-Knowledge Protocol for Reconciling Patient Identities Across Institutions

Automated differential diagnosis of dementia syndromes using FDG PET and machine learning

Fusion of fully integrated analog machine learning classifier with electronic medical records for real-time prediction of sepsis onset