Artificial Intelligence
and Medicine

Bringing Digital Breakthroughs to the Bedside

Overview /2023 Posters

Using Artificial Intelligence and Deep Learning For Early Diagnosis and Progress Prevention of Periodontal Disease

Detection of Periapical Lesions on Panoramic Radiographs Using Deep Learning

Automated Cleft Severity Rating

Assessment of Oral Health Related Quality of Life Using NLU

MLPbased Unet for segmentation of carotid artery from transverse view images

Fetal Head Biometrics Annotation and Deep Ultrasound Images

BIO-CXRNET A Robust Multimodal Stacking Machine Learning Technique for Mortality Risk Prediction

A Lightweight Deep Learning Based Microwave Brain Image Network Model for Brain Tumor

QUCoughScope An Artificially Intelligent Mobile Application to Detect Asymptomatic COVID-19

Augmented Intelligence System for Personalized Patient Lifestyle Improvement based on Wearable Data

Augmented Intelligence for Scalable Interactive Grouping of Patient Data to Support Clinician Researchers

AI-Powered Computer Vision Techniques for Real-Time Padel Player Tracking

PCovNet A CNN-VAE anomaly detection framework with LSTM embeddings for smartwatchbased COVID-19 detection

Exploration and Analysis of On surface and in air handwriting attributes to improve dysgraphia disorder diagnosis in children

Diabetic Retinopathy Segmentation

Can AI generate medical image data with clinical value

Virtual Reality Module Depicting Catheter-Associated Urinary Tract Infection as Educational Tool To Reduce Antibiotic Resistant Hospital Acquired Bacterial Infections

Precision Rehab of Facial Palsy with Artificial Intelligence Assisted Virtual Reality and EMG

Past Present and Future of Simulation in Internal Medicine

Exploring ChatGPT_s Potential to facilitate adaptation of clinical guidelines

Mortality Prediction Utilizing Blood Biomarkers to Predict the Severity of COVID-19 Using Machine Learning

Machine Learning-Based Respiration Rate and Blood Oxygen Saturation Estimation Using Photoplethysmogram Signals

DTBAPRED Improved Prediction of Drug-target binding affinity using machine learning approach

A Novel Machine Learning Approach for Long term HBA1C Prediction

Machine Learning Reveals Combinations of Systolic Blood Pressure Associated Variants For Hypertension Prediction

Exploring the Perception of Artificial Intelligence and the Use of Wearables by Healthcare Professionals A Scenario-based Interview

Development of an Explainable Machine Learning Model for Predicting 10-Year Risk of Death in NHANES I Participants A Clinician Engineer_s Guide

Detecting Cardiovascular Diseases Earlier with a Portable Carotid Ultrasound Device

Zamen An Application to Increase Patients Medication Adherence

Towards Foundation AI Models for Medical Data

Smart System to Monitor Social-Distancing During the Covid-19 Pandemic

A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images

Exploring the Perception of Artificial Intelligence and the Use of Wearables by Healthcare Professionals: A Scenario-based Interview

Augmented Intelligence for Scalable Interactive Grouping of Patient Data to Support Clinician Researchers

Augmented Intelligence System for Personalized Patient Lifestyle Improvement Based on Wearable Data