- From: carl mattocks <carlmattocks@gmail.com>
- Date: Wed, 8 Jul 2020 10:10:26 -0400
- To: Paola Di Maio <paoladimaio10@googlemail.com>
- Cc: W3C AIKR CG <public-aikr@w3.org>
- Message-ID: <CAHtonu=pu7h-KXMLKBL+C-Havh0tM0TW5P4y_-sYH+A-iNt1OQ@mail.gmail.com>
Paola Outline of StratML work packaged for 'Explainable AI models for health, biology and medicine' would focus on AI Strategist planned change for an Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device (SaMD) - AI Strategist Plan would include change to (1) Performance . (2) Inputs used by the algorithm . (3) intended use . 1. A key Goal > Objective would address BIAS. 2. Another Goal > Objective would focus on Algorithm Change Protocol 3. Additional Goal > Objective would evaluate the modifications based on risk to patients (2). (3) are discussed https://www.fda.gov/files/medical%20devices/published/US-FDA-Artificial-Intelligence-and-Machine-Learning-Discussion-Paper.pdf The predetermined change control plan would include the types of anticipated modifications – SaMD Pre-Specifications – based on the retraining and model update strategy, and the associated methodology – Algorithm Change Protocol – being used to implement those changes in a controlled manner that manages risks to patients. ... as is : The types of modifications generally fall into three broad categories: • Performance – clinical and analytical performance14; • Inputs used by the algorithm and their clinical association to the SaMD output; and/or • Intended use15 – The intended use of the SaMD, as outlined above and in the IMDRF risk categorization framework, described through the significance of information provided by the SaMD for the state of the healthcare situation or condition. Carl It was a pleasure to clarify On Tue, Jul 7, 2020 at 7:36 PM Paola Di Maio <paola.dimaio@gmail.com> wrote: > Just yesterday I was looking for forthcoming conferences in Taipei - but > this one either did not come up, or > I didnt see it -overload? > Yes, I ll be happy to work on a submission as you suggest, at the same > time I have one or two topics > of my own I am working on, assume they accept multiple submissions? > Please start drafting the outline of a paper you have in mind and share > the draft, if you want we can have a quick call > to scope this before we get down to hack it. Thank you > PDM > > On Tue, Jul 7, 2020 at 10:50 PM carl mattocks <carlmattocks@gmail.com> > wrote: > >> paola >> >> have you considered participating in the AIdSH: International Workshop on >> AI-driven Smart Healthcare . held in Taipei, Taiwan 7-11 December 2020? >> >> Do you think our StratML work may be packaged as 'Explainable AI models >> for health, biology and medicine' ? >> >> >> Carl >> It was a pleasure to clarify >> >> >> ---------- Forwarded message --------- >> From: <angalletta@ieee.org> >> Date: Tue, Jul 7, 2020 at 3:31 AM >> Subject: [one week to the submission deadline] AIdSH: International >> Workshop on AI-driven Smart Healthcare co-located with GLOBECOM 2020 >> To: <semantic-web@w3.org> >> >> >> Dear users of Semantic-Web mailing list, >> FYI >> [Apologies if you receive multiple copies of this CFP] >> >> >> =========================================================================== >> AIdSH: International Workshop on AI-driven Smart Healthcare >> The conference will be held in Taipei, Taiwan >> 7-11 December 2020 >> >> https://globecom2020.ieee-globecom.org/workshop/ws-11-workshop-ai-driven-smart-healthcare-aidsh >> in conjunction with the 2020 IEEE Global Communications Conference >> (GLOBECOM) >> >> =========================================================================== >> >> MISSION: >> >> ------------------------------------------------------------------------------ >> Health is one of the major research topics that have been attracting >> cross-disciplinary research groups. The deployment of new emerging >> technologies for Health, with the gradual integration of Internet of Things >> (IoT) and Artificial Intelligence techniques, is attracting the interest of >> many researchers. Within this framework, healthcare is becoming a >> ubiquitous, complex, sophisticated, efficient and autonomous ecosystem. >> The workshop on AI-driven Smart Healthcare (AIdSH) aims at bringing >> together researchers from academia, industry, government and medical >> centers in order to present the state of the art and discuss the latest >> advances in the emerging area of the use of Internet of Things (IoT), >> Artificial Intelligence, and Soft Computing techniques, be they black boxes >> or explanation-based, to signals, images, and data in the fields of >> medicine, healthcare and wellbeing. >> An important aspect related to the healthcare systems is the >> implementation of apt security measures. About that, one of the latest >> trends involves artificial intelligence (AI)-driven technologies that allow >> seamless management of heterogeneous data while designing highly decisive >> attack patterns to accurately foresee hacker’s behavior. Additionally, >> game-theoretic approaches have also surfaced as eminent candidates for >> cyber defense to optimally address the complex decision-making problems >> AIdSH is expected to cover the whole range of theoretical and practical >> aspects, technologies and systems related to the application of artificial >> intelligence and soft computing methodologies to issues as machine >> learning, deep learning, knowledge discovery, decision support, regression, >> forecasting, optimization and feature selection in the healthcare and >> wellbeing domain, as well as the application of AI-based cyber security for >> smart healthcare ecosystem. >> In light of the current pandemic, severely affecting the whole world, >> papers focusing on the application of the above ideas to any issue related >> to COVID-19 are highly welcome. >> >> >> TOPICS: >> ------------------------------------------------------------------------------ >> >> The topics of interest include, but are not limited to, the application >> of Internet of Things (IoT), Artificial Intelligence and Soft Computing >> methodologies to the areas listed below >> Knowledge Management of Health Data; >> Data Mining and Knowledge Discovery in Healthcare; >> Machine and Deep learning approaches for Health Data; >> Explainable AI models for health, biology and medicine; >> Decision Support Systems for Healthcare and Wellbeing; >> AI for Precision Medicine; >> Optimization for Healthcare problems; >> Regression and Forecasting for medical and/or biomedical signals; >> Healthcare Information Systems; >> Wellness Information Systems; >> Medical Signal and Image Processing and Techniques; >> Medical Expert Systems; >> Diagnosis and Therapy Support Systems; >> Biomedical Applications; >> Applications of AI in Healthcare and Wellbeing Systems; >> Machine Learning-based Medical Systems; >> Medical Data and Knowledge Bases; >> Neural Networks in Medicine; >> Ambient Intelligence and Pervasive Computing in Medicine and Healthcare; >> AI in genomics; >> AI for Healthcare Social Networks; >> New framework, algorithms, and protocol designs for AI-based healthcare >> Cyber Physical Systems (CPSs); >> Case-studies, applications, and prototypes for healthcare cyber security; >> Simulation, testing and formal verification of AI-based security >> solutions for healthcare; >> Machine learning driven IDS/IPS solutions for healthcare CPSs; >> Networking and Computing Architecture AI-based healthcare CPSs; >> Big data analytic frameworks for AI-powered healthcare CPSs; >> Game theory based secure and trustable solutions for healthcare systems; >> Cloud/grid/edge computing for healthcare CPSs; >> Data-driven optimization of AI-based healthcare networks; >> Proactive network monitoring architecture for healthcare CPSs; >> Energy-efficient network operations for healthcare CPSs via AI/ML; >> Self-Learning and adaptive networking protocols for real-world CPSs; >> Exploiting 5G and Beyond for AI-aided healthcare solutions; >> Deep and reinforcement learning based security solutions for attack >> prediction in CPSs; >> AI based security solutions for IMDs, smart sensors, wearables, etc; >> Human-machine interaction for healthcare cyber security; >> Other standards, policies and regulations for integrating IoT paradigms >> in CPSs. >> >> >> PAPER SUBMISSION: >> ------------------------------------------------------------------------------ >> >> Manuscripts should describe original work and should be no more than SIX >> (6) printed pages (10-point font) and must be written in English. Initial >> submissions longer than SIX (6) pages will be rejected without review. >> All final submissions of accepted papers must be written in English with >> a maximum paper length of six (6) printed pages (10-point font) including >> figures. No more than one (1) additional printed page (10-point font) may >> be included in final submissions and the extra page (the 7th page) will >> incur an over length page charge of US$100. All final papers must be >> submitted to the IEEE Conference eXpress website. >> >> Authors must use the IEEE conference proceedings format obtainable at: >> https://www.ieee.org/conferences/publishing/templates.html >> >> All papers for the AIdSH Workshop should be submitted via EDAS using the >> following link: https://edas.info/N27527 >> >> At least one author of each accepted paper is required to register for >> the conference and present the paper. Only registered and presented papers >> will be published in the conference proceedings. Accepted and presented >> papers will be published in the IEEE GLOBECOM 2020 Conference Proceedings >> and submitted to IEEE Xplore. >> >> If you have any questions regarding the submission of manuscripts, please >> contact one of the Technical Program Chairs of the Symposia that you are >> submitting a paper. >> >> >> JOURNAL SPECIAL ISSUES: >> ------------------------------------------------------------------------------ >> >> Authors of selected papers will be invited to submit an extended version >> on prestigious international journal special issues that are connected to >> AI-driven Smart Healthcare: >> IEEE Journal on Biomedical and Health Informatics - ISSN 2073-431X, >> Scopus (Elsevier) and Web of Science (Clarivate Analytics), Impact Factor >> 4.217 - Special Issue on “Enabling Technologies for Next Generation >> Telehealthcare”. >> Computers - ISSN 2073-431X, Scopus (Elsevier) and Web of Science >> (Clarivate Analytics) indexed - Special Issue on "Artificial Intelligence >> for Health". Article Processing Charges (APC) waived for authors. >> Human-centric Computing and Information Sciences - ISSN: 2192-1962, >> Springer and Web of Science (Clarivate Analytics) indexed, Impact Factor >> 3.212. >> >> >> IMPORTANT DATES: >> ------------------------------------------------------------------------------ >> >> Submission: 15 July 2020 >> Notification: 1 September 2020 >> Camera Ready: 1 October 2020 >> >> >> VENUE: >> ------------------------------------------------------------------------------ >> >> The conference will be held in Taipei, Taiwan >> More info will be available soon on the 2020 IEEE Global Communications >> Conference (GLOBECOM) >> (https://globecom2020.ieee-globecom.org/) >> >> >> FOR ANY OTHER INFORMATION, PLEASE VISIT >> >> https://globecom2020.ieee-globecom.org/workshop/ws-11-workshop-ai-driven-smart-healthcare-aidsh >> or email us at: >> aidsh-2020@googlegroups.com >> >
Received on Wednesday, 8 July 2020 14:11:15 UTC