Alle Papers – Machine Learning im Gesundheitswesen
104.164 Papers insgesamt · Seite 232 von 400
A clinical decision support system for AI-assisted decision-making in response-adaptive radiotherapy (ARCliDS)
Predictive modeling of biomedical temporal data in healthcare applications: review and future directions
The CrowdHEALTH project and the Hollistic Health Records: Collective Wisdom Driving Public Health Policies
A machine learning approach to leveraging electronic health records for enhanced omics analysis
Precision Medicine in Parkinson’s Disease – Exploring Patient-Initiated Self-Tracking
A Ghostwriter for the Masses: ChatGPT and the Future of Writing
Evaluating voice-assistant commands for dementia detection
Multivariate Time Series Missing Data Imputation Using Recurrent Denoising Autoencoder
Modeling EHR with the openEHR approach: an exploratory study in China
Enhancing early detection of cognitive decline in the elderly: a comparative study utilizing large language models in clinical notes
An adaptive doctor-recommender system
AI in health: keeping the human in the loop
Prediction Model Using Machine Learning for Mortality in Patients with Heart Failure
Expert Systems in Medicine
Towards phenotyping stroke: Leveraging data from a large-scale epidemiological study to detect stroke diagnosis
Designing verbal autopsy studies
Machine Learning Approaches to Predict Asthma Exacerbations: A Narrative Review
A model-based hybrid soft actor-critic deep reinforcement learning algorithm for optimal ventilator settings
An explainable artificial intelligence approach for predicting cardiovascular outcomes using electronic health records
Predicting Discharge Destination of Critically Ill Patients Using Machine Learning
AI in medicine: Where are we now and where are we going?
A benchmark comparison of deterministic and probabilistic methods for defining manual review datasets in duplicate records reconciliation
Missing data hinder replication of artificial intelligence studies
Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding
Automating the overburdened clinical coding system: challenges and next steps