Artificial Intelligence in Healthcare

.- Ethics of AI in healthcare .- Empirical Study of Social Bias in Medical Question Answering via Large Language Models. .- Prompt Injection is All You Need: A Systemic Framework for Evaluating Healthcare Misinformation in LLMs. .- Early diagnosis and prevention .- Beyond Accuracy: Enhancing Parkinson’s Diagnosis with Uncertainty Quantification of Machine Learning Models. .- Feature extraction from medical records to increase the accuracy of intracranial aneurysm rupture likelihood. .- Automated Gross Tumor Volume Segmentation in Meningioma Using Squeeze and Excitation Residual U-Net for Enhanced Radiotherapy Planning. .- Ensemble Models for Real-Time Fetal Monitoring Using Discrete Segmentation of Cardiotocography. .- Knowledge Distillation for Computationally Tractable Brain Tumour Segmentation in Sub-Saharan Africa. .- MICA: A Multimodal Intelligent Cognitive Assessment Framework Integrating Generative AI and Social Robot for Early Cognitive Intervention. .- Transfer Learning-Based Classification of Diabetic Retinopathy Using a Pre-trained InceptionResNet Model. .- Markers of Fibromyalgia: Classification and Subtyping Using Self-Reported Measures. .- Early objective ASD screening system based on eye tracking and machine learning. .- Proactive care and predictive intervention .- Performance comparison of machine learning models for the prediction of dialysis treatment variables. .- Dynamic and explainable mortality risk prediction for TBI patients in the ICU. .- Opportunistic Screening of Osteoporosis from Dental Panoramic Radiographs using Deep Learning. .- Speech Breathing Under Cognitive Load: A Pilot Study of English and Arabic Bilingual Adaptation Using the Helicopter Task. .- Affective State and Pain Estimation through Facial Emotion Analysis. .- Adaptive Biofeedback for Digital Physiotherapy Using Sakoe-Chiba Constrained Pose Matching. .- Predictive analytics in healthcare .- Translating Genes into Insight: Causal Genomics for Diabetes Risk Prediction. .- A machine learning-based surrogate model of a hemodialyzer for the prediction of the urea dialyzer clearance. .- Multimodal generative AI .- CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation. .- DiabEye-Q: AI-driven Longitudinal Analysis of Ophthalmoscopic Images for Early Diabetes Prediction in Qatari Adults. .- Healthcare workflow optimisation and automation .- Concept Type Prompt Patterns for Automated Medical Reporting in Healthcare. .- Exploring applicability of Text-to-Image models for generating aphasia rehabilitation material. .- Evaluating the feasibility of using smaller Large Language Models for generating impressions from  findings in radiology reports. .- Machine and deep learning approaches for health data .- A Comparison of Potentials and Limitations of Transformer Models for Aspect-based Medical Sentiment Analysis. .- Intelligent Blood Product Management in Hospital: A Data-Driven Model for Optimizing Platelet Inventory. .- High-Confidence Labelling of Pathology Reports using LLM-Based Unanimous Ensembles with Limited Data. .- Physicochemical-Based Deep Learning for Allergenicity Prediction. .- Multi-Modal Deep Learning with Spatial Transformers for Biparametric MRI Prostate Cancer Classification. .- BCONDS: Borderline Counterfactual Oversampling with Noise elimination and Density Scoring.