Alle Papers – Machine Learning im Gesundheitswesen

Cerebral hemorrhage detection and localization with medical imaging for cerebrovascular disease diagnosis and treatment using explainable deep learning

Efficient Shapley Explanation for Features Importance Estimation Under Uncertainty

Improving length of stay prediction using a hidden Markov model.

Zero-Shot Clinical Trial Patient Matching with LLMs

Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability

Evaluating Large Language Models on Medical Evidence Summarization

Predicting the Development of Type 2 Diabetes in a Large Australian Cohort Using Machine-Learning Techniques: Longitudinal Survey Study

Using DICOM Metadata for Radiological Image Series Categorization: a Feasibility Study on Large Clinical Brain MRI Datasets

MAGIX: Model Agnostic Globally Interpretable Explanations

Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness

A cost-aware framework for the development of AI models for healthcare applications

Leveraging GPT-4 for identifying cancer phenotypes in electronic health records: a performance comparison between GPT-4, GPT-3.5-turbo, Flan-T5, Llama-3-8B, and spaCy’s rule-based and machine learning-based methods

A novel lifelong machine learning-based method to eliminate calibration drift in clinical prediction models

Machine learning classification of schizophrenia patients and healthy controls using diverse neuroanatomical markers and Ensemble methods

MARTA: Leveraging Human Rationales for Explainable Text Classification

A method for generating synthetic longitudinal health data

AI Doctor: An Intelligent Approach for Medical Diagnosis

Artificial Intelligence-Enabled End-To-End Detection and Assessment of Alzheimer’s Disease Using Voice

Applied natural language processing in mental health big data

Using machine learning to explain the heterogeneity of schizophrenia. Realizing the promise and avoiding the hype

State-of-the-Art Fast Healthcare Interoperability Resources (FHIR)–Based Data Model and Structure Implementations: Systematic Scoping Review

Shaping a data-driven era in dementia care pathway through computational neurology approaches

Comparison of Open-Source Electronic Health Record Systems Based on Functional and User Performance Criteria

A Novel Triage Tool of Artificial Intelligence Assisted Diagnosis Aid System for Suspected COVID-19 Pneumonia in Fever Clinics