Results 71 to 80 of about 5,292,494 (371)

TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

open access: yesBritish medical journal
The TRIPOD (Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis) statement was published in 2015 to provide the minimum reporting recommendations for studies developing or evaluating the performance of a ...
Gary S. Collins   +33 more
semanticscholar   +1 more source

Role of AI chatbots in education: systematic literature review

open access: yesInternational Journal of Educational Technology in Higher Education, 2023
AI chatbots shook the world not long ago with their potential to revolutionize education systems in a myriad of ways. AI chatbots can provide immediate support by answering questions, offering explanations, and providing additional resources.
Lasha Labadze   +2 more
semanticscholar   +1 more source

Futur campus santé de Sion: vers une collaboration entre services documentaires? : état des lieux et pistes de réflexion [PDF]

open access: yes, 2016
La HES-SO Valais Wallis a pour projet de construire à l’horizon 2020 un nouveau bâtiment regroupant ses formations dans le domaine de la santé (soins infirmiers et physiothérapie) et du social (filières de niveau école supérieure dans l’éducation de l ...
Bressoud Guérin, Valérie   +2 more
core  

The nature of virtual communities [PDF]

open access: yes, 2006
The impressive development of electronic communication techniques has given rise to virtual\ud communities. The nature of these computer-mediated communities has been the subject of much recent\ud debate.
Memmi, Daniel
core   +1 more source

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

open access: yesFEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan   +2 more
wiley   +1 more source

The Ethical AI Lawyer: What is Required of Lawyers When They Use Automated Systems?

open access: yesLaw, Technology and Humans, 2019
This article focuses on individual lawyers’ responsible use of artificial intelligence (AI) in their practice. More specifically, it examines the ways in which a lawyer’s ethical capabilities and motivations are tested by the rapid growth of automated ...
Justine Rogers, Felicity Bell
doaj   +1 more source

The effects of over-reliance on AI dialogue systems on students' cognitive abilities: a systematic review

open access: yesSmart Learning Environments
The growing integration of artificial intelligence (AI) dialogue systems within educational and research settings highlights the importance of learning aids.
Chunpeng Zhai   +2 more
semanticscholar   +1 more source

AI Education: Open-Access Educational Resources on AI

open access: yes, 2017
Open-access AI educational resources are vital to the quality of the AI education we offer. Avoiding the reinvention of wheels is especially important to us because of the special challenges of AI Education. AI could be said to be “the really interesting
Neller, Todd W.
core   +1 more source

GenomeFingerprinter and universal genome fingerprint analysis for systematic comparative genomics [PDF]

open access: yes, 2013
How to compare whole genome sequences at large scale has not been achieved via conventional methods based on pair-wisely base-to-base comparison; nevertheless, no attention was paid to handle in-one-sitting a number of genomes crossing genetic category ...
Ai, Hannan   +3 more
core   +4 more sources

Cell‐free DNA aneuploidy score as a dynamic early response marker in prostate cancer

open access: yesMolecular Oncology, EarlyView.
mFast‐SeqS‐based genome‐wide aneuploidy scores are concordant with aneuploidy scores obtained by whole genome sequencing from tumor tissue and can predict response to ARSI treatment at baseline and, at an early time point, to ARSI and taxanes. This assay can be easily performed at low cost and requires little input of cfDNA. Cell‐free circulating tumor
Khrystany T. Isebia   +17 more
wiley   +1 more source

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