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Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning [article]

Vikash Gupta1 and Holger Roth and Varun Buch3 and Marcio A.B.C. Rockenbach and Richard D White and Dong Yang and Olga Laur and Brian Ghoshhajra and Ittai Dayan and Daguang Xu and Mona G. Flores and Barbaros Selnur Erdal
2020 arXiv   pre-print
The training of deep learning models typically requires extensive data, which are not readily available as large well-curated medical-image datasets for development of artificial intelligence (AI) models  ...  Recognizing the potential for transfer learning (TL) to allow a fully trained model from one institution to be fine-tuned by another institution using a much small local dataset, this report describes  ...  This report elucidates both, in preparation for the development of future specific imaging use-cases.  ... 
arXiv:2009.12437v1 fatcat:wy4nuuewfrg2db3ewh7m4m5oya

Digitisation of Healthcare Products and the Democratization Continuum of the Healthcare System in China : A Systematic Review

Henry Asante Antwi, Tamires Lizandra Andrade Paixao, Maxwell Opuni Antwi
2021 International Journal of Scientific Research in Science Engineering and Technology  
Typical of most industries, digitisation of healthcare products, services and models of E-Commerce is democratizing the current healthcare system in China while unlocking new previously inaccessible healthcare  ...  Our study highlights the important role E-commerce is playing in the healthcare industry in China.  ...  Acknowledgements The support of colleagues and staff at the Department of Public Management of the School of Management, and the Centre for Health and Public Policy Research is deeply appreciated  ... 
doi:10.32628/ijsrset218446 fatcat:bm565pmyfvek5fvdtsbstc2w5u

How 5G Wireless (and Concomitant Technologies) Will Revolutionize Healthcare?

Siddique Latif, Junaid Qadir, Shahzad Farooq, Muhammad Imran
2017 Future Internet  
In this paper, we build the case that 5G wireless technology, along with concomitant emerging technologies (such as IoT, big data, artificial intelligence and machine learning), will transform global healthcare  ...  The need to have equitable access to quality healthcare is enshrined in the United Nations (UN) Sustainable Development Goals (SDGs), which defines the developmental agenda of the UN for the next 15 years  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/fi9040093 fatcat:cgid6blwanhoxljrq4dxgfr2xu

Democratizing AI: From Theory to Practice

Paul Clough D., Jahna Otterbacher
2021 Zenodo  
We are witnessing a movement towards Democratizing AI, with a wide variety of tools, platforms and data sources becoming accessible to more people.  ...  However, beyond the hype, there is a need to understand what this trend means for various stakeholders. Through the lens of socio-political democracy, this chapter examines the democratization of AI.  ...  They take advantage of transfer learning, in developing models for a common use-case for diagnosing heart disease.  ... 
doi:10.5281/zenodo.5788369 fatcat:qeqzz6spwrd73jb4yhrxf24lzy

Recovering US Mental Healthcare [chapter]

Meaghan A. Stacy, Charlie A. Davidson
2022 Recovering the US Mental Healthcare System  
Studies in pharmacology are divided into a three-year Bachelor's and a two-year Master's degree.  ...  This model is developed by Statistics Norway in cooperation with the Directorate of Health.  ...  HiTs are in-depth profiles of health systems and policies, produced using a standardized approach that allows comparison across countries.  ... 
doi:10.1017/9781108951760.013 fatcat:onyyaihipjhhpfodmc3b36xtpm

New Domestic Healthcare. Co-designing Assistive Technologies for Autonomous Ageing at Home

Giuseppe Mincolelli, Gian Andrea Giacobone, Michele Marchi, Silvia Imbesi
2019 The Design Journal  
The constant growth in number of older people in our society creates a larger demand of goods and services related to home care, due to the willingness of the elderly to live at home remaining autonomous  ...  The final result is an assistive IoT ecosystem, which provides at the same time a customizable healthcare service to the elderly and a home care management system to their caregivers.  ...  A case study on data-drive modern creative design of ancient Chinese catering utensils Rong Han, Hong Zhang, Rui Li and Chunfa Sha Forget the Singularity, its mundane artificial intelligence that 1135-  ... 
doi:10.1080/14606925.2019.1595435 fatcat:wh5v6l3gufawpebhwaecc4sd4q

The Road Ahead [chapter]

Marci L. Gaither, Helen J. Wood
2022 Recovering the US Mental Healthcare System  
Judgements about who is deemed to be 'mad' are inevitably, to some extent, based on implicit norms about what are acceptable ways of thinking, feeling and behaving in a given society.  ...  One implication is that, as cross cultural studies show, there are not, and cannot be, universal categories of emotional distress.  ...  bodily problems, have been transferred to the study of emotional distress and troubling behaviour.  ... 
doi:10.1017/9781108951760.012 fatcat:xaaqexnobrcknaerue2xddqkvu

A Study on Exponential Advancement of Unmeasurable Artificial Intelligence in Destructing the Power of Human Decision Making in Near Future

M. Kumarasamy, G. N. K. Suresh Babu
2017 International Journal of Emerging Research in Management and Technology  
Machine intelligence will in near future replace human capabilities in almost all organizations across the world.  ...  Advances in artificial intelligence will transform modern life by reshaping transportation, health, science, finance, and the military.  ...  It is a primary goal of some artificial intelligence research and a common topic in science fiction and future studies.  ... 
doi:10.23956/ijermt.v6i10.69 fatcat:kupkiff6sbc6llt6s7z7b4x3c4

Private Equity Buyouts in Healthcare: Who Wins, Who Loses?

Eileen Appelbaum, Rosemary Batt
2020 Institute for New Economic Thinking Working Paper Series  
In this paper, we bring together a wide range of sources and empirical evidence to answer these questions.  ...  How can PE firms use their classic leveraged buyout model to 'save healthcare' while delivering 'outsized returns' to investors?  ...  Waystar, which was formed by Bain in 2017 through the merger of two leading RCM companies -Navicure and ZirMed -was purchased in July 2019 by PE firm EQT and the Canada Pension Plan Investment Board for  ... 
doi:10.36687/inetwp118 fatcat:vbfg65jffbalvg26bnylpumzpi

Opinion on Trust and Transparency in Artificial Intelligence - Ethics&Society, The Human Brain Project [article]

Christine Aicardi, Lise Bitsch, Saheli Datta Burton, Kathinka Evers, Michele Farisco, Tara Mahfoud, Nikolas Rose, Achim Rosemann, Arleen Salles, Bernd Stahl, Inga Ulnicane
2021 Zenodo  
The Ethics and Society Subproject has developed this Opinion in order to clarify lessons the Human Brain Project (HBP) can draw from the current discussion of artificial intelligence, in particular the  ...  This Opinion therefore highlights some key aspects of the discussion, shows its relevance to the HBP and develops a list of six recommendations.  ...  field of artificial intelligence (AI).  ... 
doi:10.5281/zenodo.4588648 fatcat:wofa43wyh5ejrkp7lcdg2z2f2a

Building Resilience against COVID-19 Pandemic Using Artificial Intelligence, Machine Learning, and IoT: A Survey of Recent Progress

S. M. Abu Adnan Abir, Shama Naz Islam, Adnan Anwar, Abdun Naser Mahmood, Aman Maung Than Oo
2020 IoT  
Thus, artificial intelligence (AI) and machine learning (ML) open up new mechanisms for effective healthcare during this pandemic.  ...  AI and ML can be useful for medicine development, designing efficient diagnosis strategies and producing predictions of the disease spread.  ...  in chest X-ray Deep Transfer Learning. images of patients.  ... 
doi:10.3390/iot1020028 fatcat:yv3hc34rhjehhdysiemlideht4

A Multisite, Report-Based, Centralized Infrastructure for Feedback and Monitoring of Radiology AI/ML Development and Clinical Deployment [article]

Menashe Benjamin, Guy Engelhard, Alex Aisen, Yinon Aradi, Elad Benjamin
2020 arXiv   pre-print
, deployment, monitoring and continuous improvement of Artificial Intelligence (AI)/Machine Learning (ML) solutions in the real world.  ...  It also supplies feedback for iterative development and quality improvement of new and existing algorithmic models. Both feedback and monitoring are achieved without burdening the radiologist.  ...  Madai, From bit to bedside: A practical framework for artificial intelligence product development in healthcare, arXiv preprint arXiv: 2003.10303, 2020, (Accessed on July 17, 2020).  ... 
arXiv:2008.13781v1 fatcat:2wxg6xmy4vd67opxaw2rhcqa3q

Guest editorial

Victor Chang, Stéphane Gagnon, Raul Valverde, Muthu Ramachandran
2021 Journal of Enterprise Information Management  
Similarly, the imagebased affective computing was done on the data extracted from Instagram using three deep learning models: CNN, transfer learning with VGG-19 model and transfer learning with ResNet-  ...  The study used customized deep learning models for affective computing.  ... 
doi:10.1108/jeim-09-2021-555 fatcat:hn5iwjbkrzhxznqtfavm32gi3u

A Structured Pathway Toward Disruption: A Novel HealthTec Innovation Design Curriculum With Entrepreneurship in Mind

Holger Fritzsche, Beatrice Barbazzeni, Mohd Mahmeen, Sultan Haider, Michael Friebe
2021 Frontiers in Public Health  
The typical curriculum of training and educating future clinicians, biomedical engineers, health IT, and artificial intelligence experts lacks needed twenty first-century skills like problem-solving, stakeholder  ...  We have developed a novel lecture titled HealthTec Innovation Design (HTID) offered in an interdisciplinary setup to medical students and biomedical engineers.  ...  ACKNOWLEDGMENTS The authors would like to thank all partners at the Sci-Fi Hivethe Future of Healthcare Event and at the Siemens Healthineers-Innovation Think Tank Certification Program.  ... 
doi:10.3389/fpubh.2021.715768 pmid:34540788 pmcid:PMC8446366 fatcat:hilvau67ujbsbcqjpdytzz7u5u

Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review [article]

Sonali Agarwal, Narinder Singh Punn, Sanjay Kumar Sonbhadra, M. Tanveer, P. Nagabhushan, K K Soundra Pandian, Praveer Saxena
2021 arXiv   pre-print
In this review article, we attempt to study all emerging, future, and disruptive technologies that can be utilized to mitigate the impact of COVID-19.  ...  agencies worldwide in a precarious position.  ...  In this present era of artificial intelligence, healthcare data can be better understood via advanced machine learning algorithms.  ... 
arXiv:2005.11507v6 fatcat:ry4xvoxmknecdg2yytocnobooy
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