Artificial Intelligence for Automatic Pain Assessment: Research Methods and Perspectives
暂无分享,去创建一个
M. Cascella | E. Bignami | A. Cuomo | A. Ottaiano | R. Patrone | A. Vittori | Francesco Cutugno | Francesco Perri | Daniela Schiavo | Sara Migliarelli
[1] D. Berish,et al. A Systematic Review of Barriers and Facilitators of Pain Management in Persons with Dementia. , 2023, The journal of pain.
[2] G. Finco,et al. Raising Awareness on the Clinical and Social Relevance of Adequate Chronic Pain Care , 2022, International journal of environmental research and public health.
[3] C. Eccleston,et al. Body movement as a biomarker for use in chronic pain rehabilitation: An embedded analysis of an RCT of a virtual reality solution for adults with chronic pain , 2022, Frontiers in Pain Research.
[4] Catherine D. Chong,et al. Longitudinal changes in functional connectivity and pain-induced brain activations in patients with migraine: a functional MRI study pre- and post- treatment with Erenumab , 2022, The journal of headache and pain.
[5] A. Ultsch,et al. Artificial intelligence and machine learning in pain research: a data scientometric analysis , 2022, Pain reports.
[6] C. Compagnone,et al. Understanding basic principles of artificial intelligence: a practical guide for intensivists , 2022, Acta bio-medica : Atenei Parmensis.
[7] S. Kamarthi,et al. Personalized Deep Bi-LSTM RNN Based Model for Pain Intensity Classification Using EDA Signal , 2022, Sensors.
[8] A. Aleman,et al. A behavioral and brain imaging dataset with focus on emotion regulation of women with fibromyalgia , 2022, Scientific Data.
[9] M. Cascella,et al. Different Machine Learning Approaches for Implementing Telehealth-Based Cancer Pain Management Strategies , 2022, Journal of clinical medicine.
[10] F. Molinari,et al. Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011-2022) , 2022, Comput. Methods Programs Biomed..
[11] A. Ottaiano,et al. Pathophysiology of Nociception and Rare Genetic Disorders with Increased Pain Threshold or Pain Insensitivity , 2022, Pathophysiology : the official journal of the International Society for Pathophysiology.
[12] Stella Lo Giudice,et al. Wrist Photoplethysmography Signal Quality Assessment for Reliable Heart Rate Estimate and Morphological Analysis , 2022, Sensors.
[13] J. Shieh,et al. Comparison of Deep Learning Algorithms in Predicting Expert Assessments of Pain Scores during Surgical Operations Using Analgesia Nociception Index , 2022, Italian National Conference on Sensors.
[14] V. Denaro,et al. Natural language processing in low back pain and spine diseases: A systematic review , 2022, Frontiers in Surgery.
[15] L. Chiari,et al. Quality Assessment and Morphological Analysis of Photoplethysmography in Daily Life , 2022, Frontiers in Digital Health.
[16] L. Chiari,et al. Automatic pain assessment on cancer patients using physiological signals recorded in real-world contexts , 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
[17] G. Alaghband,et al. Facial Expressions Based Automatic Pain Assessment System , 2022, Applied Sciences.
[18] Kadija Ferryman. Rethinking the AI Chasm , 2022, American Journal of Bioethics.
[19] P. Pelosi,et al. Big Data and Artificial Intelligence in Intensive Care Unit: From “Bla, Bla, Bla” to the Incredible Five V’s , 2022, Neurocritical Care.
[20] R. Thienprayoon,et al. Managing Pain and Discomfort in Children with Cancer , 2022, Current Oncology Reports.
[21] F. Marinangeli,et al. Strengths and Weaknesses of Cancer Pain Management in Italy: Findings from a Nationwide SIAARTI Survey , 2022, Healthcare.
[22] L. Chiari,et al. Physiological responses to pain in cancer patients: A systematic review , 2022, Comput. Methods Programs Biomed..
[23] E. Topol,et al. Bridging the chasm between AI and clinical implementation , 2022, The Lancet.
[24] Federica Monaco,et al. Bibliometric network analysis on rapid-onset opioids for breakthrough cancer pain treatment. , 2022, Journal of pain and symptom management.
[25] Soon Huat Ng,et al. Scalp EEG-Based Pain Detection Using Convolutional Neural Network , 2022, IEEE transactions on neural systems and rehabilitation engineering.
[26] K. Heffner,et al. Pain and the Alzheimer's Disease and Related Dementia Spectrum in Community-Dwelling Older Americans: A Nationally Representative Study. , 2022, Journal of pain and symptom management.
[27] Stephen T. C. Wong,et al. Affective Computing for Late-Life Mood and Cognitive Disorders , 2021, Frontiers in Psychiatry.
[28] S. Velupillai,et al. Development of a Lexicon for Pain , 2021, Frontiers in Digital Health.
[29] K. Prkachin,et al. Computer Mediated Automatic Detection of Pain-Related Behavior: Prospect, Progress, Perils , 2021, Frontiers in Pain Research.
[30] Clayton Greenberg,et al. Natural Language Processing: Practical Applications in Medicine and Investigation of Contextual Autocomplete. , 2021, Acta neurochirurgica. Supplement.
[31] C. Soriano-Mas,et al. The Role of the Locus Coeruleus in Pain and Associated Stress-Related Disorders , 2021, Biological Psychiatry.
[32] G. Di Lorenzo,et al. A Delphi Consensus Approach for the Management of Chronic Pain during and after the COVID-19 Era , 2021, International journal of environmental research and public health.
[33] Emad Kasaeyan Naeini,et al. Objective Pain Assessment Using Wrist-based PPG Signals: A Respiratory Rate Based Method , 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
[34] Robyn Clay-Williams,et al. Implementing Ethics in Healthcare AI-Based Applications: A Scoping Review , 2021, Science and Engineering Ethics.
[35] Youngsun Kong,et al. A Preliminary Study on Automatic Motion Artifact Detection in Electrodermal Activity Data Using Machine Learning , 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
[36] John Kildea,et al. Development of a generalizable natural language processing pipeline to extract physician-reported pain from clinical reports: Generated using publicly-available datasets and tested on institutional clinical reports for cancer patients with bone metastases , 2021, J. Biomed. Informatics.
[37] S. Kamarthi,et al. Exploration of physiological sensors, features, and machine learning models for pain intensity estimation , 2021, PloS one.
[38] H. Cui,et al. Low Back Pain Assessment Based on Alpha Oscillation Changes in Spontaneous Electroencephalogram (EEG) , 2021, Neural plasticity.
[39] Yacine Mahdid,et al. Clinical use of Electroencephalography in the Assessment of Acute Thermal Pain: A Narrative Review Based on Articles From 2009 to 2019 , 2021, Clinical EEG and neuroscience.
[40] P. Indic,et al. Using wearable technology to detect prescription opioid self-administration. , 2021, Pain.
[41] F. Reis,et al. Heart rate variability in patients with low back pain: a systematic review , 2021, Scandinavian journal of pain.
[42] Alessandro Blasimme,et al. Explainability for artificial intelligence in healthcare: a multidisciplinary perspective , 2020, BMC Medical Informatics and Decision Making.
[43] P. Sterkenburg,et al. Physiological Measures of Acute and Chronic Pain within Different Subject Groups: A Systematic Review , 2020, Pain research & management.
[44] Jeffrey Soar,et al. Ensemble neural network approach detecting pain intensity from facial expressions , 2020, Artif. Intell. Medicine.
[45] D. Borton,et al. Pain phenotypes classified by machine learning using electroencephalography features , 2020, NeuroImage.
[46] Linling Li,et al. EEG Beta-Band Spectral Entropy Can Predict the Effect of Drug Treatment on Pain in Patients With Herpes Zoster , 2020, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.
[47] S. Salanterä,et al. Developing a pain intensity prediction model using facial expression: A feasibility study with electromyography , 2020, PloS one.
[48] Ali Haddad,et al. Recognizing Pain in Motor Imagery EEG Recordings Using Dynamic Functional Connectivity Graphs , 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
[49] N. Dutt,et al. Prospective Study Evaluating a Pain Assessment Tool in a Postoperative Environment: Protocol for Algorithm Testing and Enhancement , 2020, JMIR research protocols.
[50] W. Hooten,et al. Pain—Linguistics and Natural Language Processing , 2020, Mayo Clinic proceedings. Innovations, quality & outcomes.
[51] H. Traue,et al. [Multimodal recognition of pain intensity and pain modality with machine learning]. , 2020, Schmerz.
[52] P. Werner,et al. Multimodale Erkennung von Schmerzintensität und -modalität mit maschinellen Lernverfahren , 2020, Der Schmerz.
[53] B. Waller,et al. Measuring the evolution of facial ‘expression’ using multi-species FACS , 2020, Neuroscience & Biobehavioral Reviews.
[54] M. Maltoni,et al. Careful Breakthrough Cancer Pain Treatment through Rapid-Onset Transmucosal Fentanyl Improves the Quality of Life in Cancer Patients: Results from the BEST Multicenter Study , 2020, Journal of clinical medicine.
[55] D. Felson,et al. Assessment of knee pain from MR imaging using a convolutional Siamese network , 2020, European Radiology.
[56] Riccardo Miotto,et al. Identifying Acute Low Back Pain Episodes in Primary Care Practice From Clinical Notes: Observational Study , 2020, JMIR medical informatics.
[57] T. Cai,et al. Incorporating natural language processing to improve classification of axial spondyloarthritis using electronic health records. , 2019, Rheumatology.
[58] Carl Y. Saab,et al. What does a pain ‘biomarker’ mean and can a machine be taught to measure pain? , 2019, Neuroscience Letters.
[59] Katyani Singh,et al. A Comprehensive Review of Convolutional Neural Network based Image Enhancement Techniques , 2019, 2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN).
[60] B Subbulakshmi,et al. Sentimental Analysis using Naive Bayes Classifier , 2019, 2019 International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN).
[61] P. Henningsen,et al. Your Robot Therapist Will See You Now: Ethical Implications of Embodied Artificial Intelligence in Psychiatry, Psychology, and Psychotherapy , 2018, Journal of medical Internet research.
[62] Yongsheng Ding,et al. A new image classification model based on brain parallel interaction mechanism , 2018, Neurocomputing.
[63] M. Cascella,et al. Chemotherapy-related cognitive impairment: mechanisms, clinical features and research perspectives. , 2018, Recenti progressi in medicina.
[64] Miriam Kunz,et al. Facial muscle movements encoding pain—a systematic review , 2018, Pain.
[65] Rachel McKee. The Challenge of Cancer Pain Assessment , 2018, The Ulster medical journal.
[66] M. Cascella,et al. The challenge of pain assessment in children with cognitive disabilities: Features and clinical applicability of different observational tools , 2018, Journal of paediatrics and child health.
[67] G. Deplanque,et al. Electrochemical Skin Conductance as a Marker of Painful Oxaliplatin-Induced Peripheral Neuropathy , 2018, Neurology research international.
[68] Aleksandra Vuckovic,et al. Prediction of central neuropathic pain in spinal cord injury based on EEG classifier , 2018, Clinical Neurophysiology.
[69] Matthew S. Goodwin,et al. Automated Pain Assessment using Electrodermal Activity Data and Machine Learning , 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[70] R. Boostani,et al. A Novel Classification Strategy to Distinguish Five Levels of Pain Using the EEG Signal Features , 2018, IEEE Transactions on Affective Computing.
[71] J. Brant,et al. Complex Cancer Pain Assessment. , 2018, Hematology/oncology clinics of North America.
[72] R. Froutan,et al. Challenges faced by nurses in using pain assessment scale in patients unable to communicate: a qualitative study , 2018, BMC Nursing.
[73] Charles Nduka,et al. Objectively measuring pain using facial expression: is the technology finally ready? , 2018, Pain management.
[74] H. Traue,et al. Head movements and postures as pain behavior , 2018, PloS one.
[75] J. Miró,et al. The validity of pain intensity measures: what do the NRS, VAS, VRS, and FPS-R measure? , 2018, Scandinavian journal of pain.
[76] Bin He,et al. Quantifying and Characterizing Tonic Thermal Pain Across Subjects From EEG Data Using Random Forest Models , 2017, IEEE Transactions on Biomedical Engineering.
[77] Patrick Thiam,et al. Multi-modal data fusion for pain intensity assessment and classification , 2017, 2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA).
[78] Omkar M. Parkhi,et al. VGGFace2: A Dataset for Recognising Faces across Pose and Age , 2017, 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018).
[79] Kamal Nasrollahi,et al. Deep Pain: Exploiting Long Short-Term Memory Networks for Facial Expression Classification , 2017, IEEE Transactions on Cybernetics.
[80] Arnab Roy,et al. Automated classification of pain perception using high-density electroencephalography data. , 2017, Journal of neurophysiology.
[81] J. Gross,et al. Brain Rhythms of Pain , 2017, Trends in Cognitive Sciences.
[82] Thomas B. Moeslund,et al. Spatio-temporal Pain Recognition in CNN-Based Super-Resolved Facial Images , 2016, VAAM/FFER@ICPR.
[83] Maja Pantic,et al. The Automatic Detection of Chronic Pain-Related Expression: Requirements, Challenges and the Multimodal EmoPain Dataset , 2016, IEEE Transactions on Affective Computing.
[84] R. Fillingim,et al. Assessment of Chronic Pain: Domains, Methods, and Mechanisms. , 2016, The journal of pain : official journal of the American Pain Society.
[85] M. Kunz,et al. Does Parkinson's disease lead to alterations in the facial expression of pain? , 2015, Journal of the Neurological Sciences.
[86] H. Traue,et al. Pain Intensity Recognition Rates via Biopotential Feature Patterns with Support Vector Machines , 2015, PloS one.
[87] C. Chambers,et al. Ontogeny and phylogeny of facial expression of pain , 2015, Pain.
[88] Randy L. Gollub,et al. Simultaneous fMRI–PET of the opioidergic pain system in human brain , 2014, NeuroImage.
[89] Edmund Keogh,et al. Pain communication through body posture: The development and validation of a stimulus set , 2014, PAIN®.
[90] D. Yarnitsky,et al. Associations between autonomic dysfunction and pain in chemotherapy‐induced polyneuropathy , 2014, European journal of pain.
[91] Shaun J. Canavan,et al. BP4D-Spontaneous: a high-resolution spontaneous 3D dynamic facial expression database , 2014, Image Vis. Comput..
[92] G. Boyle,et al. Descriptors of pain sensation: a dual hierarchical model of latent structure. , 2012, The journal of pain : official journal of the American Pain Society.
[93] Jeffrey F. Cohn,et al. Painful data: The UNBC-McMaster shoulder pain expression archive database , 2011, Face and Gesture 2011.
[94] William R. Hogan,et al. Natural Language Processing methods and systems for biomedical ontology learning , 2011, J. Biomed. Informatics.
[95] Alon Sinai,et al. Pain assessment by continuous EEG: Association between subjective perception of tonic pain and peak frequency of alpha oscillations during stimulation and at rest , 2010, Brain Research.
[96] B. Appelhans,et al. Heart Rate Variability as an Index of Regulated Emotional Responding , 2006 .
[97] M. Cascella,et al. Implementation of a Hybrid Care Model for Telemedicine-based Cancer Pain Management at the Cancer Center of Naples, Italy: A Cohort Study , 2023, In Vivo.
[98] K. Budidha,et al. Photoplethysmography technology , 2022, Photoplethysmography.
[99] Shing Chiang Tan,et al. A Novel Approach to Objectively Quantify the Subjective Perception of Pain Through Electroencephalogram Signal Analysis , 2020, IEEE Access.
[100] Rangachar Kasturi,et al. A Review of Automated Pain Assessment in Infants: Features, Classification Tasks, and Databases , 2018, IEEE Reviews in Biomedical Engineering.
[101] Ayoub Al-Hamadi,et al. Towards Pain Monitoring: Facial Expression, Head Pose, a new Database, an Automatic System and Remaining , 2013, BMVC.