- From: Paola Di Maio <paoladimaio10@gmail.com>
- Date: Thu, 9 Jul 2020 06:11:47 +0800
- To: carl mattocks <carlmattocks@gmail.com>
- Cc: W3C AIKR CG <public-aikr@w3.org>
- Message-ID: <CAMXe=SoTPiGUNBZS+EPQQnsf1ct1wc+a0trQioDD0ac9FKww_A@mail.gmail.com>
Carl Thanks for sharing I have multiple deadlines and writing papers on topics I am engaged with in my work which I need to publish with priority and I am the main author- straml is not really my topic, although I appreciate its benefits If you have a draft ready for submission by the deadline, I may be able to contribute/editing it However, I am thinking that there are/should be many such conferences in the US, why dont you go ahead and prepare a paper have it for submission when the next conference comes up P On Wed, Jul 8, 2020 at 10:11 PM carl mattocks <carlmattocks@gmail.com> wrote: > 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 22:12:47 UTC