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会议文集
文集名
Artificial Intelligence in Healthcare
会议名
2nd International Conference on Artificial Intelligence in Healthcare (AIiH 2025)
中译名
《第二届国际医疗保健中的人工智能会议,卷1》
会议日期
September 8-10, 2025
会议地点
Cambridge, UK
出版年
2026
馆藏号
358008
题名
作者
出版年
Empirical Study of Social Bias in Medical Question Answering via Large Language Models
Xiao Xiao; Jiaxu Zhao; Terry R. Payne; Meng Fang
2026
Prompt Injection is All You Need: A Systemic Framework for Evaluating Healthcare Misinformation in LLMs
Nur Alesha Zahra; Zad Chin
2026
Beyond Accuracy: Enhancing Parkinson's Diagnosis with Uncertainty Quantification of Machine Learning Models
Asif Azad; Md. Saiful Islam; Ehsan Hoque; M. Saifur Rahman
2026
Feature Extraction from Medical Records to Increase the Accuracy of Intracranial Aneurysm Rupture Likelihood
Julia Zakaszewska; Justyna Fercho; Piotr Fonferek; Katarzyna Konieczna; Hanna Lisowska; Jakub Sadowy; Daria Binerowska; Maciej Pestka; Michalina Dudra; Weronika Jagielo; Klaudia Kokot; Dariusz Szplit; Jacek Szypenbejl; Tomasz Szmuda; Mariusz Sieminski; Patryk Jasik
2026
Automated Gross Tumor Volume Segmentation in Meningioma Using Squeeze and Excitation Residual U-Net for Enhanced Radiotherapy Planning
Boitumelo Matlala; Dustin van der Haar; Hima Vadapalli
2026
Ensemble Models for Real-Time Fetal Monitoring Using Discrete Segmentation of Cardiotocography
Muhammad Usama Faheem; Rudy Lapeer; Beatriz De La Iglesia; Rahul Gore; Rowan Connell; Wenjia Wang
2026
Knowledge Distillation for Computationally Tractable Brain Tumour Segmentation in Sub-saharan Africa
Gage Nott; Hima Vadapalli; Dustin van der Haar
2026
MICA: A Multimodal Intelligent Cognitive Assessment Framework Integrating Generative AI and Social Robot for Early Cognitive Intervention
Mohamed Adlan Ait Ameur; Erfu Yang; William J. McGeown; Yin-Ping Zhang
2026
Transfer Learning-Based Classification of Diabetic Retinopathy Using a Pre-trained InceptionResNet Model
Suhad Malayshi; Ahmad Hassasneh
2026
Markers of Fibromyalgia: Classification and Subtyping Using Self-reported Measures
Delnia Alipour; Olga Perepelkina; Simone Stumpf
2026
Early Objective ASD Screening System Based on Eye-Tracking and Machine Learning
Sara Vecino; Gloria Acevedo-Diaz; Daniel Fernandez-Lanvin; Javier De Andres; Martin Gonzalez-Rodriguez
2026
Performance Comparison of Machine Learning Models for the Prediction of Dialysis Treatment Variables
A. Nicosia; N. Cancilla; E. Di Liberti; J. D. Martin Guerrero; Y. Vives Gilabert; A. Ferrantelli; F. Iacono; V. M. B. Brucato; V. La Carrubba; I. Tinnirello; A. Cipollina
2026
Dynamic and Explainable Mortality Risk Prediction for TBI Patients in the ICU
Hasitha Kuruwita Arachchige; Shu Kay Ng; Alan Wee-Chung Liew; Kelvin Ross; Brent Richards; Kuldeep Kumar; Luke Haseler; Ping Zhang
2026
Opportunistic Screening of Osteoporosis from Dental Panoramic Radiographs Using Deep Learning
Divya Biligere Shivanna; Roopa S. Rao; Tushar Patil; Lichingngamba Tensubam; Sowmya Gujjar Vishnu Rao; Ashok Lingappa
2026
Speech Breathing Under Cognitive Load: A Pilot Study of English and Arabic Bilingual Adaptation Using the Helicopter Test
Hajar Chadli; Biao Zeng; Xiaoyu Zhou
2026
Affective State and Pain Estimation Through Facial Emotion Analysis
Christine Bukola Asaju; Hima Vadapalli
2026
Adaptive Biofeedback for Digital Physiotherapy Using Sakoe-Chiba Constrained Pose Matching
Jonas Leo Mueller; Alexander Weiss; Bjoern M. Eskofier
2026
Translating Genes into Insight: Causal Genomics for Diabetes Risk Prediction
Sheresh Zahoor; Pietro Lio; Gael Dias; Mohammed Hasanuzzaman
2026
A Machine Learning-Based Surrogate Model of a Hemodialyzer for the Prediction of the Urea Dialyzer Clearance
Angelo Giordano; Nunzio Cancilla; Jose D. Martin-Guerrero; Yolanda Vives-Gilabert; Michele Ciofalo; Giorgio Micale; Alessandro Tamburini
2026
CLAIM: Clinically-Guided LGE Augmentation for Realistic and Diverse Myocardial Scar Synthesis and Segmentation
Farheen Ramzan; Yusuf Kiberu; Nikesh Jathanna; Shahnaz Jamil-Copley; Richard H. Clayton; Chen Chen
2026
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