Challenges of Trustable AI and Added-Value on Health : Proceedings of MIE 2022 /
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| Corporate author / creator: | European Federation for Medical Informatics. Conference (32nd : 2022 : Nice, France) |
|---|---|
| Imprint: | Amsterdam : IOS Press, 2022. |
| Description: | 1 online resource ( 1018 p..) |
| Language: | English |
| Series: | Studies in Health Technology and Informatics ; v.294 Studies in health technology and informatics ; v. 294. |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/13288931 |
Table of Contents:
- Intro
- Title Page
- Preface
- About the Conference
- Contents
- Section I. Challenges of Trustable AI and Added-Value on Health
- Applying Machine Learning to Arsenic Species and Metallomics Profiles of Toenails to Evaluate Associations of Environmental Arsenic with Incident Cancer Cases
- User Satisfaction with an AI System for Chest X-Ray Analysis Implemented in a Hospital's Emergency Setting
- Scaling AI Projects for Radiology
- Causes and Consequences
- ECG Classification Using Combination of Linear and Non-Linear Features with Neural Network
- Dataset Comparison Tool: Utility and Privacy
- AP-HP Health Data Space (AHDS) to the Test of the Covid-19 Pandemic
- MISeval: A Metric Library for Medical Image Segmentation Evaluation
- When Context Matters for Credible Measurement of Drug-Drug Interactions Based on Real-World Data
- A Lightweight and Interpretable Model to Classify Bundle Branch Blocks from ECG Signals
- Analysis of Stroke Assistance in Covid-19 Pandemic by Process Mining Techniques
- Automated Diagnosis of Autism Spectrum Disorder Condition Using Shape Based Features Extracted from Brainstem
- Using Explainable Supervised Machine Learning to Predict Burnout in Healthcare Professionals
- An Image Based Object Recognition System for Wound Detection and Classification of Diabetic Foot and Venous Leg Ulcers
- Attitudes and Acceptance Towards Artificial Intelligence in Medical Care
- Can Artificial Intelligence Enable the Transition to Electric Ambulances?
- Using Machine Learning and Deep Learning Methods to Predict the Complexity of Breast Cancer Cases
- Accelerating High-Dimensional Temporal Modelling Using Graphics Processing Units for Pharmacovigilance Signal Detection on Real-Life Data
- Analysis of Saturation in the Emergency Department: A Data-Driven Queuing Model Using Machine Learning
- Pretrained Neural Networks Accurately Identify Cancer Recurrence in Medical Record
- Characterization of Type 2 Diabetes Using Counterfactuals and Explainable AI
- Utilizing a Non-Motor Symptoms Questionnaire and Machine Learning to Differentiate Movement Disorders
- Supporting AI-Explainability by Analyzing Feature Subsets in a Machine Learning Model
- Machine Learning in Medicine: To Explain, or Not to Explain, That Is the Question
- Phenotyping of Heart Failure with Preserved Ejection Faction Using Health Electronic Records and Echocardiography
- Towards a Generic Description Schema for Clinical Decision Support Systems
- Applying Artificial Intelligence Privacy Technology in the Healthcare Domain
- Explainable Artificial Intelligence in Ambulatory Digital Dementia Screenings
- Behavioral Segmentation for Enhanced Peer-to-Peer Patient Education
- A Confidence Interval-Based Method for Classifier Re-Calibration
