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Platform for Automated Real-Time High Performance Analytics on Medical Image Data

William J. Allen, Refaat E. Gabr, Getaneh B. Tefera, Amol S. Pednekar, Matthew W. Vaughn, Ponnada A. Narayana
2018 IEEE journal of biomedical and health informatics  
Here, we demonstrate a robust platform that uses software automation and high performance computing (HPC) resources to achieve real-time analytics of clinical data, specifically magnetic resonance imaging  ...  We envision this platform can be adapted to other medical instruments, HPC resources, and analytics tools.  ...  Acknowledgments We thank Rion Dooley for helpful discussions and assistance with the Agave API, and Vipulkumar Patel for help with the MRI experiments.  ... 
doi:10.1109/jbhi.2017.2771299 pmid:29505399 pmcid:PMC5858700 fatcat:52gkcagynfgp3m4qeqleqjc63y

Internet of Diagnostic Things: Emerging Horizon towards Precision and Digital Health Care

Vijay Verma, Abhisek Mishra, Vaishali Bisht, Jyoti Bala
2021 Journal of Health Science Research  
Application of IoT technology in diagnostic and healthcare opens a way for personalization in the medical care depending on individual needs, additionally giving option for well-organized way for remote  ...  Intelligent sensors, wearable, digital imaging, smart phone based diagnostic and connected networking provides smart approach and platform towards precision diagnostics.  ...  This provides a tool for real-time, automatic, safe, efficient way for decisions making based on collected data.  ... 
doi:10.7324/jhsr/2020/24981 fatcat:bkp2y4e6nnb3thyetkng7hb4lu

AI based HealthCare Platform for Real Time, Predictive and Prescriptive Analytics using Reactive Programming

Jagreet Kaur, Dr. Kulwinder Singh Mann
2018 Journal of Physics, Conference Series  
AI in Healthcare needed to bring real, actionable insights and Individualized insights in real time for patients and Doctors to support treatment decisions., We need a Patient Centred Platform for integrating  ...  The system will be able to extract useful knowledge that helps in decision making and medical monitoring in real-time through an intelligent process analysis and big data processing.  ...  Real-Time Analytics & Predictive Analytics: -Knowledge Discovery To take the Right decision for the Right patient at the right time by the doctors, Doctors/Physicians need knowledgeable Data, Real-Time  ... 
doi:10.1088/1742-6596/933/1/012010 fatcat:bfcdkoaqkjec5j4m43pi737lhu

Machine learning with cloud platforms

Mykola Kozlenko
2021 Zenodo  
This paper presents a general overview of how machine learning solutions may be implemented using modern cloud platforms.  ...  Healthcare Natural Language AI performs real-time analysis of insights stored in unstructured medical text. It allows to distill machinereadable medical insights from medical documents.  ...  (unified), fully managed, endto-end platform for data science and machine learning; Document AI that reduces document processing costs via automate data capturing at scale [2] .  ... 
doi:10.5281/zenodo.5555430 fatcat:jys6ar46szbrdkupfkhkuxvjim

Big Data Management for Healthcare Systems: Architecture, Requirements, and Implementation

Naoual El aboudi, Laila Benhlima
2018 Advances in Bioinformatics  
Based on the proposed architecture, a prototype implementation has been built for healthcare systems in order to generate real-time alerts. The suggested prototype is based on spark and MongoDB tools.  ...  by generating real-time alerts and making accurate predictions on patient health condition.  ...  Then, a big data processing architecture for healthcare industry has been presented; it is capable of handling the high amount of data generated by different medical sources in real time.  ... 
doi:10.1155/2018/4059018 pmid:30034468 pmcid:PMC6032968 fatcat:yrfof632dbhh7fyak2yabdd474

Detection and segmentation the affected brain using ThingSpeak platform based on IoT cloud analysis

Ali A. Mohammed, Mohammed A. Noaman Al-hayanni, Hassan M. Azzawi
2021 Periodicals of Engineering and Natural Sciences (PEN)  
This work proposes a health care system based on medical image analysis processes in the programmable ThingSpeak platform using MATLAB built into the platform within the cloud.  ...  patient data and presenting it to medical professionals anywhere in the world.  ...  (analysis in real time) [6] .  ... 
doi:10.21533/pen.v9i2.1918 fatcat:6y2xjnmybzdvvm2t7vantirgz4

Context Aware SmartHealth Cloud Platform for Medical Diagnostics

Sarah Shafqat, Almas Abbasi, Muhammad Naeem, Muhammad Ahsan, Tehmina Amjad, Hafiz Farooq
2018 International Journal of Advanced Computer Science and Applications  
Intensive medical data is generated that opens up research in healthcare analytics.  ...  This analysis lead us to propose a data model for hybrid distributed simulation model for future Context Aware SmartHealth cloud platform for diagnostics.  ...  . 2) Providing a test bed with automated real time patient data to input into diagnostics system is an important concern for validation through simulation. 3) diagnostics system for diabetic and its underlying  ... 
doi:10.14569/ijacsa.2018.090741 fatcat:kcl23226hjh47fmnuituhfndwi

Is this the real time for genomics?

Maria Guarnaccia, Giulia Gentile, Enrico Alessi, Claudio Schneider, Salvatore Petralia, Sebastiano Cavallaro
2014 Genomics  
Acknowledgment Authors gratefully acknowledge Cristina Calì, Alfia Corsino, Maria Patrizia D'Angelo and Francesco Marino for their administrative and technical support.  ...  In Fig. 1 (panels d-h) we show an example of real-time microarray detection performed on the In Check Lab-on-Chip platform.  ...  Almost all experimental and analytical phases depend on the operator, and the lack of automation further reduces accuracy and reproducibility.  ... 
doi:10.1016/j.ygeno.2014.02.003 pmid:24560816 fatcat:rg6qm2jgqfhebiy4pnt4uioiru

Big Data Analytics in Healthcare

Ashwin Belle, Raghuram Thiagarajan, S. M. Reza Soroushmehr, Fatemeh Navidi, Daniel A. Beard, Kayvan Najarian
2015 BioMed Research International  
In this paper, we discuss some of these major challenges with a focus on three upcoming and promising areas of medical research: image, signal, and genomics based analytics.  ...  Recent research which targets utilization of large volumes of medical data while combining multimodal data from disparate sources is discussed.  ...  Bazil for his valuable comments on the paper.  ... 
doi:10.1155/2015/370194 pmid:26229957 pmcid:PMC4503556 fatcat:aicdxzoexnbarlnfyzjavm47ie

Leveraging Cloud Computing for Systematic Performance Management of Quality of Care

Benjamin Eze, Craig Kuziemsky, Rubina Lakhani, Liam Peyton
2016 Procedia Computer Science  
We also introduce a framework for achieving systematic surveillance and performance management across the entire healthcare system.  ...  In this paper, we review various cloud computing applications for surveillance and performance management of quality of care in healthcare.  ...  BASN can perform classified learning and analysis in real time to provide early medical warnings 26 .  ... 
doi:10.1016/j.procs.2016.09.048 fatcat:bbbvmts3vfctnblhtq6w7wxkyy

Intelligent Platforms for Disease Assessment

Partho P. Sengupta
2013 JACC Cardiovascular Imaging  
Cardiac images and analytics will be available in real time on wearable computers. Wearable computers on glasses, wristbands, and professional clothing are not a futuristic dream anymore (19, 20) .  ...  Wearable Computers The aforementioned strategies of cloud automation, robotics, data analytics, and cognitive tools can be projected to one of the many ways intelligent and efficient platforms could develop  ... 
doi:10.1016/j.jcmg.2013.09.003 pmid:24229773 fatcat:flq25t3cenewdle46lqboroywi

Machine learning services in the cloud

Mykola Kozlenko
2021 Zenodo  
Healthcare Natural Language AI performs real-time analysis of insights stored in unstructured medical text. It allows to distill machine-readable medical insights from medical documents.  ...  (unified), fully managed, end-to-end platform for data science and machine learning; Document AI that reduces document processing costs via automate data capturing at scale [2] .  ... 
doi:10.5281/zenodo.5307094 fatcat:rnm2zdmtarcz3egvaigskdktce

High performance spatial query processing for large scale scientific data

Ablimit Aji, Fusheng Wang
2012 Proceedings of the on SIGMOD/PODS 2012 PhD Symposium - PhD '12  
ii) How can we provide fast response queries on analytical imaging data to support biomedical research and clinical diagnosis?  ...  However, the vast amount of spatially oriented morphological information poses major challenges for analytical medical imaging.  ...  The goal of this proposal is to make fundamental contributions towards realizing an expressive, cost effective, and high performance medical imaging "GIS" for managing and querying analytical medical imaging  ... 
doi:10.1145/2213598.2213603 dblp:conf/sigmod/AjiW12 fatcat:ny6qktwfkrgspmrqq273xkzz3y

Proposed System for Remote Detection of Skin Diseases Using Artificial Intelligence

Sandeep Manohar Chaware, Apurv Deshpande, Archita Palkar, Durvesh Bahire, Riya Singh
2021 International Journal of Scientific Research in Computer Science Engineering and Information Technology  
This application can also be used as a real time teaching tool for medical students in the dermatology domain.  ...  This system will make use of different techniques to analyze and process the image data based on various features of the images.  ...  This application can also be used as a real time teaching tool for medical students in the dermatology domain. SVM. It detects three main skin diseases namely melanoma, Eczema, and Psoriasis.  ... 
doi:10.32628/cseit217244 fatcat:qhhfktxspraolnbxgecf7nwzza

A Preanalytic Validation Study of Automated Bone Scan Index: Effect on Accuracy and Reproducibility Due to the Procedural Variabilities in Bone Scan Image Acquisition

A. Anand, M. J. Morris, R. Kaboteh, M. Reza, E. Tragardh, N. Matsunaga, L. Edenbrandt, A. Bjartell, S. M. Larson, D. Minarik
2016 Journal of Nuclear Medicine  
Here, we have developed and performed preanalytical studies to assess the impact of the variability in scanning speed and in vendor-specific γ-camera on reproducibility and accuracy of the automated bone  ...  The effect of the procedural variability in image acquisition on the quantitative assessment of bone scan is unknown.  ...  However, the consistent analytic performance of the automated BSI platform is still predisposed to the procedural variability of bone scan.  ... 
doi:10.2967/jnumed.116.177030 pmid:27445289 pmcid:PMC6952052 fatcat:ryl3o2hlwzho7blhvdlgiuuz2i
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