Literature DB >> 32908264

Illuminating the dark spaces of healthcare with ambient intelligence.

Albert Haque1, Arnold Milstein2, Li Fei-Fei3,4.   

Abstract

Advances in machine learning and contactless sensors have given rise to ambient intelligence-physical spaces that are sensitive and responsive to the presence of humans. Here we review how this technology could improve our understanding of the metaphorically dark, unobserved spaces of healthcare. In hospital spaces, early applications could soon enable more efficient clinical workflows and improved patient safety in intensive care units and operating rooms. In daily living spaces, ambient intelligence could prolong the independence of older individuals and improve the management of individuals with a chronic disease by understanding everyday behaviour. Similar to other technologies, transformation into clinical applications at scale must overcome challenges such as rigorous clinical validation, appropriate data privacy and model transparency. Thoughtful use of this technology would enable us to understand the complex interplay between the physical environment and health-critical human behaviours.

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Year:  2020        PMID: 32908264     DOI: 10.1038/s41586-020-2669-y

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  70 in total

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2.  Effectiveness of sensor monitoring in a rehabilitation programme for older patients after hip fracture: a three-arm stepped wedge randomised trial.

Authors:  Margriet C Pol; Gerben Ter Riet; Margo van Hartingsveldt; Ben Kröse; Bianca M Buurman
Journal:  Age Ageing       Date:  2019-09-01       Impact factor: 10.668

3.  A nurse-driven method for developing artificial intelligence in "smart" homes for aging-in-place.

Authors:  Roschelle L Fritz; Gordana Dermody
Journal:  Nurs Outlook       Date:  2018-11-23       Impact factor: 3.250

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Journal:  J Am Dent Assoc       Date:  1980-12       Impact factor: 3.634

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Journal:  J Mol Biol       Date:  1985-10-05       Impact factor: 5.469

6.  A Survey on Ambient Intelligence in Health Care.

Authors:  Giovanni Acampora; Diane J Cook; Parisa Rashidi; Athanasios V Vasilakos
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2013-12-01       Impact factor: 10.961

7.  Rural ED transfers due to lack of radiology services.

Authors:  Matthew Lyon; LaShon Sturgis; Darren Lendermon; Ann Marie Kuchinski; Taylor Mueller; Patrick Loeffler; Hongyan Xu; Robert Gibson
Journal:  Am J Emerg Med       Date:  2015-07-29       Impact factor: 2.469

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Journal:  Lipids       Date:  1980-08       Impact factor: 1.880

9.  Using Smart City Technology to Make Healthcare Smarter.

Authors:  Diane J Cook; Glen Duncan; Gina Sprint; Roschelle Fritz
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2018-01-23       Impact factor: 10.961

Review 10.  High-performance medicine: the convergence of human and artificial intelligence.

Authors:  Eric J Topol
Journal:  Nat Med       Date:  2019-01-07       Impact factor: 53.440

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  12 in total

1.  Deep Learning applications for COVID-19.

Authors:  Connor Shorten; Taghi M Khoshgoftaar; Borko Furht
Journal:  J Big Data       Date:  2021-01-11

Review 2.  Shifting machine learning for healthcare from development to deployment and from models to data.

Authors:  Angela Zhang; Lei Xing; James Zou; Joseph C Wu
Journal:  Nat Biomed Eng       Date:  2022-07-04       Impact factor: 25.671

3.  Video-Based Pose Estimation for Gait Analysis in Stroke Survivors during Clinical Assessments: A Proof-of-Concept Study.

Authors:  Luca Lonini; Yaejin Moon; Kyle Embry; R James Cotton; Kelly McKenzie; Sophia Jenz; Arun Jayaraman
Journal:  Digit Biomark       Date:  2022-01-13

Review 4.  Multimodal biomedical AI.

Authors:  Julián N Acosta; Guido J Falcone; Pranav Rajpurkar; Eric J Topol
Journal:  Nat Med       Date:  2022-09-15       Impact factor: 87.241

5.  Non-von Neumann multi-input spike signal processing enabled by an artificial synaptic multiplexer.

Authors:  Dong Hae Ho; Dong Gue Roe; Yoon Young Choi; Seongchan Kim; Young Jin Choi; Do Hwan Kim; Sae Byeok Jo; Jeong Ho Cho
Journal:  Sci Adv       Date:  2022-06-22       Impact factor: 14.957

Review 6.  Digital health technology-specific risks for medical malpractice liability.

Authors:  Simon P Rowland; J Edward Fitzgerald; Matthew Lungren; Elizabeth Hsieh Lee; Zach Harned; Alison H McGregor
Journal:  NPJ Digit Med       Date:  2022-10-20

7.  Computer Vision in the Operating Room: Opportunities and Caveats.

Authors:  Lauren R Kennedy-Metz; Pietro Mascagni; Antonio Torralba; Roger D Dias; Pietro Perona; Julie A Shah; Nicolas Padoy; Marco A Zenati
Journal:  IEEE Trans Med Robot Bionics       Date:  2020-11-24

8.  Unifying Diagnosis Identification and Prediction Method Embedding the Disease Ontology Structure From Electronic Medical Records.

Authors:  Jingfeng Chen; Chonghui Guo; Menglin Lu; Suying Ding
Journal:  Front Public Health       Date:  2022-01-20

9.  Healthcare Professionals' Perspective on Implementing a Detector of Behavioural Disturbances in Long-Term Care Homes.

Authors:  Mohamed-Amine Choukou; Sophia Mbabaali; Ryan East
Journal:  Int J Environ Res Public Health       Date:  2021-03-08       Impact factor: 3.390

10.  Detection of abnormal left ventricular geometry in patients without cardiovascular disease through machine learning: An ECG-based approach.

Authors:  Eleni Angelaki; Maria E Marketou; Georgios D Barmparis; Alexandros Patrianakos; Panos E Vardas; Fragiskos Parthenakis; Giorgos P Tsironis
Journal:  J Clin Hypertens (Greenwich)       Date:  2021-01-28       Impact factor: 3.738

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