Alle Papers – Machine Learning im Gesundheitswesen

The Future of Patient Education: AI-Driven Guide for Type 2 Diabetes

Improving the Prognostic Evaluation Precision of Hospital Outcomes for Heart Failure Using Admission Notes and Clinical Tabular Data: Multimodal Deep Learning Model

Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention

A survey of extant organizational and computational setups for deploying predictive models in health systems

A risk prediction model based on machine learning for early cognitive impairment in hypertension: Development and validation study

Correction: Deep language space neural network for classifying mild cognitive impairment and Alzheimer-type dementia

From Personalized Medicine to Precision Psychiatry?

Predicting progression of Alzheimer’s disease using forward-to-backward bi-directional network with integrative imputation

Evaluation Framework of Large Language Models in Medical Documentation: Development and Usability Study

A Hybrid Generic Framework for Heart Problem Diagnosis Based on a Machine Learning Paradigm

Computer predictions of abnormal test results. Effects on outpatient testing

Diagnosis of Schizophrenia: A Comprehensive Evaluation

Data Augmentation using Pre-trained Transformer Models

The PICASO cloud platform for improved holistic care in rheumatoid arthritis treatment—experiences of patients and clinicians

External validation of AI-based scoring systems in the ICU: a systematic review and meta-analysis

Predictive Modeling for Disease Progression in Chronic Conditions Using Machine Learning

Incorporating causal factors into reinforcement learning for dynamic treatment regimes in HIV

Large language models in medicine: A review of current clinical trials across healthcare applications

Harmonization of Detailed Clinical Models with Clinical Study Data Standards

Machine Learning and Health Science Research: Tutorial

Explainable machine learning models for early gastric cancer diagnosis

Explainable diagnosis of secondary pulmonary tuberculosis by graph rank-based average pooling neural network

A machine learning model to predict critical care outcomes in patient with chest pain visiting the emergency department

Explainability enhanced liver disease diagnosis technique using tree selection and stacking ensemble-based random forest model

Application of artificial intelligence to pharmacy and medicine.