Alle Papers – Machine Learning im Gesundheitswesen

RSMOTE: improving classification performance over imbalanced medical datasets

Generative artificial intelligence in medicine

Multi-view ensemble learning for dementia diagnosis from neuroimaging: An artificial neural network approach

Predicting Risk of Suicide Attempt Using History of Physical Illnesses From Electronic Medical Records

Mining clinical phrases from nursing notes to discover risk factors of patient deterioration

Clinical Text Datasets for Medical Artificial Intelligence and Large Language Models — A Systematic Review

Artificial Intelligence and Big Data in Diabetes Care: A Position Statement of the Italian Association of Medical Diabetologists

Automatic multilabel detection of ICD10 codes in Dutch cardiology discharge letters using neural networks

Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models

Prediction of risk of acquiring urinary tract infection during hospital stay based on machine-learning: A retrospective cohort study

EXPLAINABILITY OF NEURAL NETWORK CLUSTERING IN INTERPRETING THE COVID-19 EMERGENCY DATA

Machine Learning and Evidence-Based Medicine

Shedding Light on the Black Box: Explaining Deep Neural Network Prediction of Clinical Outcomes

COVID Detection from Chest X-rays with DeepLearning: CheXNet

Setting up an Easy-to-Use Machine Learning Pipeline for Medical Decision Support: A Case Study for COVID-19 Diagnosis Based on Deep Learning with CT Scans

Zero shot health trajectory prediction using transformer

Using the features of the time and volumetric capnogram for classification and prediction

Artificial Intelligence and Machine Learning: What You Always Wanted to Know but Were Afraid to Ask

Almanac: Retrieval-Augmented Language Models for Clinical Medicine

Personalized Federated Graph Learning on Non-IID Electronic Health Records

Lung Cancer Assistant: a hybrid clinical decision support application for lung cancer care

ChatGPT Versus Consultants: Blinded Evaluation on Answering Otorhinolaryngology Case–Based Questions

A transformer-based unified multimodal framework for Alzheimer's disease assessment

A robust and clinically applicable deep learning model for early detection of Alzheimer's

Preventing sepsis; how can artificial intelligence inform the clinical decision-making process? A systematic review