Regulatory Considerations on the use of Machine Learning based tools in Clinical Trials

被引：0
|
作者：
Maurizio Massella
Diego Alejandro Dri
Donatella Gramaglia
机构：
[1] Italian Medicines Agency (AIFA),Clinical Trials Office
[2] Sapienza University of Rome,Department of Drug Chemistry and Technology
来源：
Health and Technology | 2022年 / 12卷
关键词：
Artificial intelligence; Big data; Clinical trials; Digital health; Machine learning; Regulatory;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1085 / 1096
页数：11
相关论文
共 50 条
  • [41] Demystifying image-based machine learning: a practical guide to automated analysis of field imagery using modern machine learning tools
    Belcher, Byron T.
    Bower, Eliana H.
    Burford, Benjamin
    Celis, Maria Rosa
    Fahimipour, Ashkaan K.
    Guevara, Isabela L.
    Katija, Kakani
    Khokhar, Zulekha
    Manjunath, Anjana
    Nelson, Samuel
    Olivetti, Simone
    Orenstein, Eric
    Saleh, Mohamad H.
    Vaca, Brayan
    Valladares, Salma
    Hein, Stella A.
    Hein, Andrew M.
    FRONTIERS IN MARINE SCIENCE, 2023, 10
  • [42] The use of infrared spectroscopy and machine learning tools for detection of Meloidogyne infestations
    San-Blas, Ernesto
    Paba, Gabriel
    Cubillan, Nestor
    Portillo, Edgar
    Casassa-Padron, Ana M.
    Gonzalez-Gonzalez, Cesar
    Guerra, Mayamaru
    PLANT PATHOLOGY, 2020, 69 (08) : 1589 - 1600
  • [43] Tools for machine-learning-based empirical autotuning and specialization
    Chaimov, Nicholas
    Biersdorff, Scott
    Malony, Allen D.
    INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS, 2013, 27 (04) : 403 - 411
  • [44] Real World Data for Clinical Trials Designs using Machine Learning
    Prasad, Thejas
    Rashed, Shakeel
    2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2021, : 5991 - 5993
  • [45] The Use of Electronic Data Capture Tools in Clinical Trials: Web-Survey of 259 Canadian Trials
    El Emam, Khaled
    Jonker, Elizabeth
    Sampson, Margaret
    Krleza-Jeric, Karmela
    Neisa, Angelica
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2009, 11 (01)
  • [46] RESPONSIBLE USE OF MACHINE LEARNING CLASSIFIERS IN CLINICAL PRACTICE
    Mishra, Abhishek
    JOURNAL OF LAW AND MEDICINE, 2019, 27 (01) : 37 - 49
  • [47] Considerations for the implementation of machine learning into acute care settings
    Bishara, Andrew
    Maze, Elijah H.
    Maze, Mervyn
    BRITISH MEDICAL BULLETIN, 2022, 141 (01) : 15 - 32
  • [48] Ethical and Bias Considerations in Artificial Intelligence/Machine Learning
    Hanna, Matthew G.
    Pantanowitz, Liron
    Jackson, Brian
    Palmer, Octavia
    Visweswaran, Shyam
    Pantanowitz, Joshua
    Deebajah, Mustafa
    Rashidi, Hooman H.
    MODERN PATHOLOGY, 2025, 38 (03)
  • [49] Bringing Machine Learning Systems into Clinical Practice: A Design Science Approach to Explainable Machine Learning-Based Clinical Decision Support Systems
    Pumplun, Luisa
    Peters, Felix
    Gawlitza, Joshua F.
    Buxmann, Peter
    JOURNAL OF THE ASSOCIATION FOR INFORMATION SYSTEMS, 2023, 24 (04): : 953 - 979
  • [50] Application of Bioinformatics and Machine Learning Tools in Food Safety
    Mahdi Soroushianfar
    Goli Asgari
    Fatemeh Afzali
    Atiyeh Falahat
    Mohammad Soroush Mansoor Baghahi
    Mohammad Javad Haratizadeh
    Ghazaleh Khalili-Tanha
    Elham Nazari
    Current Nutrition Reports, 14 (1)
12345