Simulation-Based Inference for Global Health Decisions
University of Oxford（牛津大学）；Imperial College London（伦敦帝国学院）
Christian Schroeder de Witt, Bradley Gram-Hansen, Nantas Nardelli, Andrew Gambardella, Rob Zinkov, Puneet Dokania, N. Siddharth, Ana Belen Espinosa-Gonzalez, Ar… 展开作者
Christian Schroeder de Witt, Bradley Gram-Hansen, Nantas Nardelli, Andrew Gambardella, Rob Zinkov, Puneet Dokania, N. Siddharth, Ana Belen Espinosa-Gonzalez, Ara Darzi, Philip Torr, Atılım Güneş Baydin
The COVID-19 pandemic has highlighted the importance of in-silico epidemiological modelling in predicting the dynamics of infectious diseases to inform health policy and decision makers about suitable prevention and containment strategies. Work in this setting involves solving challenging inference and control problems in individual-based models of ever increasing complexity. Here we discuss recent breakthroughs in machine learning, specifically in simulation-based inference, and explore its potential as a novel venue for model calibration to support the design and evaluation of public health interventions. To further stimulate research, we are developing software interfaces that turn two cornerstone COVID-19 and malaria epidemiology models COVID-sim, (https://github.com/mrc-ide/covid-sim/) and OpenMalaria (https://github.com/SwissTPH/openmalaria) into probabilistic programs, enabling efficient interpretable Bayesian inference within those simulators.
Assessing the communication gap between AI models and healthcare professionals: explainability, utility and trust in AI-driven clinical decision-making
The University of Manchester（曼彻斯特大学）；CRUK Manchester Institute（英国癌症研究中心曼彻斯特研究所）；Idiap Research Institute（Idiap研究所）
Learning to Address Health Inequality in the United States with a Bayesian Decision Network
Stanford University（斯坦福大学）；Indraprastha Institute of Information Technology, Delhi（德里英德拉普拉斯塔信息技术学院）；Netaji Subhas University of Technology, Delhi（德里内塔吉·苏巴斯科技大学）
Differentially Private Normalizing Flows for Density Estimation, Data Synthesis, and Variational Inference with Application to Electronic Health Records
PsyBridge: A Hybrid Intelligent Framework for Multi-Dimensional Mental Health Assessment and Decision Support
St. Vincent Pallotti College of Engineering and Technology, Nagpur, India（圣文森特帕洛蒂工程技术学院，那格浦尔，印度）；Government Medical College (GMC), Chandrapur, India（政府医学院，钱德拉普尔，印度）；Newcastle University, UK（纽卡斯尔大学，英国）
Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review
Vector Institute for Artificial Intelligence（人工智能向量研究院）；University of Tennessee（田纳西大学）；York University（约克大学）；McGill University（麦吉尔大学）
What is Fair? Defining Fairness in Machine Learning for Health
Department of Statistical Sciences, University of Toronto（统计科学系，多伦多大学）；Harvard T.H. Chan School of Public Health（哈佛T.H. Chan公共卫生学院）；York University（约克大学）；Verily Life Sciences（Verily生命科学公司）；Duke University（杜克大学）；University of Toronto（多伦多大学）
Test-Time Learning and Inference-Time Deliberation for Efficiency-First Offline Reinforcement Learning in Care Coordination and Population Health Management
Developing Hybrid Machine Learning Models to Assign Health Score to Railcar Fleets for Optimal Decision Making
The University of Chicago（芝加哥大学）；University of Illinois at Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校）；North Carolina State University（北卡罗来纳州立大学）；TTX company（TTX公司）
Organizational Governance of Emerging Technologies: AI Adoption in Healthcare
Duke Institute for Health Innovation（杜克健康创新研究所）；Newcastle University（纽卡斯尔大学）；Mayo Clinic（梅奥诊所）；University of California, Berkeley（加州大学伯克利分校）；Duke University Medical Center（杜克大学医学中心）；DLA Piper（欧华律师事务所）
Deep Reinforcement Learning for Personalized Diagnostic Decision Pathways Using Electronic Health Records: A Comparative Study on Anemia and Systemic Lupus Erythematosus
Inria Paris（法国国家信息与自动化研究所巴黎中心）；Centre de Recherche des Cordeliers（科德利埃研究所）；Inserm（法国国家健康与医学研究院）；Université Paris Cité（巴黎西岱大学）；Sorbonne Université（索邦大学）；Hôpital Necker（内克尔医院）；Assistance Publique - Hôpitaux de Paris（巴黎公共医疗援助医院）
Epidemic Control Modeling using Parsimonious Models and Markov Decision Processes
University of Southampton（南安普顿大学）；Number Theory Software Pvt Ltd（数论软件私人有限公司）；Federal University of Rio de Janeiro（里约热内卢联邦大学）；Digital University Kerala（喀拉拉数字大学）
MedRLM: Recursive Multimodal Health Intelligence for Long-Context Clinical Reasoning, Sensor-Guided Screening, Evidence-Grounded Decision Support, and Community-to-Tertiary Referral Optimization
School of Information, Computer；Communication Technology Sirindhorn International Institute of Technology, Thammasat University Pathum Thani, Thailand 1
