HC@AIXIA 2023: 2ND AIXIA WORKSHOP ON ARTIFICIAL INTELLIGENCE FOR HEALTHCARE (HC@AIXIA 2023)

This page contains an index consisting of author-provided keywords.

A
Answer Set Programming	Master Surgical Scheduling via Answer Set Programming tested on real data Scheduling Periodic Treatments via Answer Set Programming Data Augmentation: a Combined Inductive-Deductive Approach featuring Answer Set Programming
arteriovenous fistula	Clinical Intervention Effectiveness Estimation through Dynamic Bayesian Network
artificial intelligence	A Novel Cephalometric Tool Enhanced by AI Assistance
Ataxia telangiectasia	Machine Learning-Enabled Prediction of Metabolite Response in Genetic Disorders
Autoencoder	Evaluation of Machine Learning Predictions’ Reliability with generative models: towards Trustworthy AI
automated radiology report generation	Enhancing Medical Image Report Generation through Standard Language Models: Leveraging the Power of LLMs in Healthcare
B
bio-inspired computing	Breaking the Structure of Multilayer Perceptrons with Complex Topologies
brain decoding	Brain Captioning: Decoding human brain Activity into images and text
Brain MRI	MICDIR: Multi-scale inverse-consistent deformable image registration using UNetMSS with self-constructing graph latent
Brain Tumor	Tracin in Semantic Segmentation of tumor brains in MRI, an extended approach
C
Causal Discovery	Towards a Transportable Causal Network Model Based on Observational Healthcare Data The Impact of Missing Data on Causal Discovery: A Multicentric Clinical Study
Causal graphs	The Impact of Missing Data on Causal Discovery: A Multicentric Clinical Study
Causal Networks	Towards a Transportable Causal Network Model Based on Observational Healthcare Data
clustering	Exploratory analysis of longitudinal data of patients with dementia through unsupervised techniques
clustering analysis
complex networks	Breaking the Structure of Multilayer Perceptrons with Complex Topologies
Computer Assisted Diagnosis	A Federated Learning Framework for Stenosis Detection
computer vision	A Novel Cephalometric Tool Enhanced by AI Assistance
Coronary Angiography	A Federated Learning Framework for Stenosis Detection
CT	Sinogram upsampling using Primal–Dual UNet for undersampled CT and radial MRI reconstruction
D
Data Augmentation	Data Augmentation: a Combined Inductive-Deductive Approach featuring Answer Set Programming
Decision Support Systems	Decision support system for automatic adjustment of rehabilitation routines for stroke patients
Declarative Content Generation	Data Augmentation: a Combined Inductive-Deductive Approach featuring Answer Set Programming
Deep Learning	MICDIR: Multi-scale inverse-consistent deformable image registration using UNetMSS with self-constructing graph latent Sinogram upsampling using Primal–Dual UNet for undersampled CT and radial MRI reconstruction Data Augmentation: a Combined Inductive-Deductive Approach featuring Answer Set Programming Tracin in Semantic Segmentation of tumor brains in MRI, an extended approach
dementia	Exploratory analysis of longitudinal data of patients with dementia through unsupervised techniques
diagnostic methods and tools	A Novel Cephalometric Tool Enhanced by AI Assistance
Dynamic Bayesian Network	Clinical Intervention Effectiveness Estimation through Dynamic Bayesian Network
E
EEG	Evaluation of a New Lightweight EEG Technology for Translational Applications of Passive Brain-Computer Interfaces
EHRs	Computational intelligence analysis of high-risk neuroblastoma patient health records reveals time to maximum response as one of the most relevant factors for outcome prediction
electronic health records	Exploratory analysis of longitudinal data of patients with dementia through unsupervised techniques Computational intelligence analysis of high-risk neuroblastoma patient health records reveals time to maximum response as one of the most relevant factors for outcome prediction
Explainable AI	Decision support system for automatic adjustment of rehabilitation routines for stroke patients
F
feature ranking	Computational intelligence analysis of high-risk neuroblastoma patient health records reveals time to maximum response as one of the most relevant factors for outcome prediction
Federated Learning	A Federated Learning Framework for Stenosis Detection
functional MRI	Brain Captioning: Decoding human brain Activity into images and text
G
graph topology	Breaking the Structure of Multilayer Perceptrons with Complex Topologies
Graphs	Structural Positional Encoding for knowledge integration in transformer-based medical process monitoring
H
Health	Decision support system for automatic adjustment of rehabilitation routines for stroke patients
Healthcare	Master Surgical Scheduling via Answer Set Programming tested on real data Deep Survival Analysis for Healthcare: An Empirical Study on Post-Processing Techniques On the Automatic Assessment of Natural Language Expert Explanations in Medicine Scheduling Periodic Treatments via Answer Set Programming Tracin in Semantic Segmentation of tumor brains in MRI, an extended approach AI in healthcare: A view from the industry
hemodialysis	Clinical Intervention Effectiveness Estimation through Dynamic Bayesian Network
human factors	Evaluation of a New Lightweight EEG Technology for Translational Applications of Passive Brain-Computer Interfaces
Hybrid Approaches	Data Augmentation: a Combined Inductive-Deductive Approach featuring Answer Set Programming
Hybrid Society	The PredictMed-POMAS Architecture for Intelligent Patient Monitoring within a Complex Healthcare Ecosystem
I
Image classification	Viral pneumonia images classification by Multiple Instance Learning: preliminary results.
Image Registration	MICDIR: Multi-scale inverse-consistent deformable image registration using UNetMSS with self-constructing graph latent
Industry	AI in healthcare: A view from the industry
K
Knowledge Representation and Reasoning	Data Augmentation: a Combined Inductive-Deductive Approach featuring Answer Set Programming
L
large language models	Enhancing Medical Image Report Generation through Standard Language Models: Leveraging the Power of LLMs in Healthcare
M
Machine Learning	Data Augmentation: a Combined Inductive-Deductive Approach featuring Answer Set Programming A Novel Cephalometric Tool Enhanced by AI Assistance Machine Learning-Enabled Prediction of Metabolite Response in Genetic Disorders
Machine learning trustworthiness	Evaluation of Machine Learning Predictions’ Reliability with generative models: towards Trustworthy AI
manifold learning	Breaking the Structure of Multilayer Perceptrons with Complex Topologies
mass spectrometry	Machine Learning-Enabled Prediction of Metabolite Response in Genetic Disorders
medical Artificial Intelligence
Medical process monitoring	Structural Positional Encoding for knowledge integration in transformer-based medical process monitoring
mental health	Exploratory analysis of longitudinal data of patients with dementia through unsupervised techniques
metabolic pathways	Machine Learning-Enabled Prediction of Metabolite Response in Genetic Disorders
Missing values	Towards a Transportable Causal Network Model Based on Observational Healthcare Data The Impact of Missing Data on Causal Discovery: A Multicentric Clinical Study
mixed dementia
MRI	MICDIR: Multi-scale inverse-consistent deformable image registration using UNetMSS with self-constructing graph latent Sinogram upsampling using Primal–Dual UNet for undersampled CT and radial MRI reconstruction
Multi-Agent Systems	The PredictMed-POMAS Architecture for Intelligent Patient Monitoring within a Complex Healthcare Ecosystem
Multimodal Imaging	MICDIR: Multi-scale inverse-consistent deformable image registration using UNetMSS with self-constructing graph latent
Multimodal machine learning	Enhancing Medical Image Report Generation through Standard Language Models: Leveraging the Power of LLMs in Healthcare
Multiple Instance Learning	Viral pneumonia images classification by Multiple Instance Learning: preliminary results.
N
Named Entity Recognition	On the Automatic Assessment of Natural Language Expert Explanations in Medicine
neural networks	Deep Survival Analysis for Healthcare: An Empirical Study on Post-Processing Techniques Breaking the Structure of Multilayer Perceptrons with Complex Topologies
neural representations	Brain Captioning: Decoding human brain Activity into images and text
neuro-oncology	Computational intelligence analysis of high-risk neuroblastoma patient health records reveals time to maximum response as one of the most relevant factors for outcome prediction
neuroblastoma	Computational intelligence analysis of high-risk neuroblastoma patient health records reveals time to maximum response as one of the most relevant factors for outcome prediction
NLP	On the Automatic Assessment of Natural Language Expert Explanations in Medicine
O
odontology	A Novel Cephalometric Tool Enhanced by AI Assistance
older adults	Exploratory analysis of longitudinal data of patients with dementia through unsupervised techniques
P
passive-BCI	Evaluation of a New Lightweight EEG Technology for Translational Applications of Passive Brain-Computer Interfaces
Patient Monitoring	The PredictMed-POMAS Architecture for Intelligent Patient Monitoring within a Complex Healthcare Ecosystem
Positional encoding	Structural Positional Encoding for knowledge integration in transformer-based medical process monitoring
Prediction Models	The PredictMed-POMAS Architecture for Intelligent Patient Monitoring within a Complex Healthcare Ecosystem
Predictive reliability	Evaluation of Machine Learning Predictions’ Reliability with generative models: towards Trustworthy AI
R
Radial MRI	Sinogram upsampling using Primal–Dual UNet for undersampled CT and radial MRI reconstruction
Random Forests	Computational intelligence analysis of high-risk neuroblastoma patient health records reveals time to maximum response as one of the most relevant factors for outcome prediction
Reconstruction	Sinogram upsampling using Primal–Dual UNet for undersampled CT and radial MRI reconstruction
regularization techniques	Deep Survival Analysis for Healthcare: An Empirical Study on Post-Processing Techniques
Remote Rehabilitation	Decision support system for automatic adjustment of rehabilitation routines for stroke patients
Roche	AI in healthcare: A view from the industry
S
Scheduling	Master Surgical Scheduling via Answer Set Programming tested on real data Scheduling Periodic Treatments via Answer Set Programming
Selection bias	Towards a Transportable Causal Network Model Based on Observational Healthcare Data
Soft Computing	Decision support system for automatic adjustment of rehabilitation routines for stroke patients
Sparse CT	Sinogram upsampling using Primal–Dual UNet for undersampled CT and radial MRI reconstruction
Stenosis detection	A Federated Learning Framework for Stenosis Detection
stress	Evaluation of a New Lightweight EEG Technology for Translational Applications of Passive Brain-Computer Interfaces
supervised machine learning	Computational intelligence analysis of high-risk neuroblastoma patient health records reveals time to maximum response as one of the most relevant factors for outcome prediction
survival analysis	Deep Survival Analysis for Healthcare: An Empirical Study on Post-Processing Techniques
T
Transformers	Structural Positional Encoding for knowledge integration in transformer-based medical process monitoring
Transportability	Towards a Transportable Causal Network Model Based on Observational Healthcare Data
U
Undersampled MRI	Sinogram upsampling using Primal–Dual UNet for undersampled CT and radial MRI reconstruction
unsupervised machine learning	Exploratory analysis of longitudinal data of patients with dementia through unsupervised techniques
untargeted metabolomics	Machine Learning-Enabled Prediction of Metabolite Response in Genetic Disorders
V
vigilance	Evaluation of a New Lightweight EEG Technology for Translational Applications of Passive Brain-Computer Interfaces
Viral pneumonia	Viral pneumonia images classification by Multiple Instance Learning: preliminary results.
visual system	Brain Captioning: Decoding human brain Activity into images and text
W
water-based electrodes	Evaluation of a New Lightweight EEG Technology for Translational Applications of Passive Brain-Computer Interfaces
workload	Evaluation of a New Lightweight EEG Technology for Translational Applications of Passive Brain-Computer Interfaces
X
xAi	Tracin in Semantic Segmentation of tumor brains in MRI, an extended approach

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