Arnaud Attyé

CEO of GeodAIsics

[Arnaud Attyé @arnopowers]

@ESHNRSociety @SalmanQureshiDr @AnnePeporte @jussihirvonen @YPekcevik @Umida_rad @PTouska @BSHNI_UK @Bert_DeFoer @DrTimBeale @kovacsovics_bea Excellent, congrats Jan !

[Yann LeCun @ylecun]

Meta will *not* release the multimodal versions of its AI products and models in the EU because of an unpredictable regulatory environment.
This means that EU users of Ray-Ban Meta won't be able to use the image understanding features.
It also means that the EU industry will not have access to future multimodal versions of Llama-3.

https://t.co/sRWyEKyV3D

[Fernando Calamante @fercalamante]

Sydney Subcortical Gray Matter (SydSGM) #parcellation: data driven (T1, T2 and diffusion MRI) in vivo parcellation of human subcortex. Preprint: https://t.co/oIdeBvN3G3

[Fernando Calamante @fercalamante]

GeoNorm: normative modelling for quantitative MRI without requiring age as co-variable (https://t.co/18tG4bB8Cd). It uses generative manifold learning to define a set of ‘digital twins’ for a personalised normative range.

[Eric Topol @EricTopol]

When #AI support was provided to 140 radiologists, there was marked variability and unpredictability as to its impact on performance
https://t.co/YGXUcagIWi @NatureMedicine @pranavrajpurkar @feiyangkathyyu

[Fernando Calamante @fercalamante]

Track-weighted PET connectome: a method to combine PET and MRI fibre-tracking to define a patient-specific PET connectome (https://t.co/jFE8gcoPqs). We applied it to ADNI dementia data. Work from PhD thesis of Zhuopin (Pin) Sun, +collaboration with @StevenRMeikle & @Prof_Naismith

[ESR Journals @ESRJournals]

In this study, Steve Connor et al. evaluate the diagnostic performance and reliability of #MRI descriptors used for the detection of Ménière’s disease (MD), finding absent enlarged or confluent saccules are the best predictors of MD.

#EuropeanRadiology

🔗https://t.co/EWZVlkTjEE

[Escamez Lab @ALEscamez]

👉We are organising a dissemination event on April 9th, 2024 @KollingINST about the exciting research🧬🔬on Meniere's disease @north_fndn @Sydney_Uni @ssc_rnsh @ASMES2016 @MenieresSociety @vestibularveda 🙏Register and join us! https://t.co/rylCiO971E

[Arnaud Attyé @arnopowers]

@merelhuisman @EurRadiology @DrHughHarvey Particularly true in Neurorad, congrats for this paper

[Merel Huisman MD PhD @merelhuisman]

Yup, we’ve said it….current #AI does not significantly improve today’s radiology.

Keep the bigger picture in mind; healthcare accessibility for all.

@EurRadiology open-acces preview 👉 https://t.co/BjbxQCythi

@DrHughHarvey #radiology #AI

[Heudel Pierre @HeudelPierre]

Impact of artificial intelligence in transforming the doctor–cancer patient relationship . https://t.co/2ASsBIDdBy

[Arnaud Attyé @arnopowers]

@ESHNRSociety @PTouska @jussihirvonen @SalmanQureshiDr Wonderful !

[Arnaud Attyé @arnopowers]

@jcnogrette @ajmhf_8

[Arnaud Attyé @arnopowers]

@BcellBruno @SagittariusHH @ajmhf_8 😅

[Arnaud Attyé @arnopowers]

@HeudelPierre @CLCCLeonBerard @geodaisics Wonderful collaboration using our Generative Manifold Learning tech on aged patients with breast cancer!

[Arnaud Attyé @arnopowers]

@LorenzoPinelli @AmineBenLakhal0 @CMGlastonbury @amyfjuliano @DShatzkes @CDP_Rad @PhilipRChapman1 @rhwiggins @Bert_DeFoer @FeliceDArco @PeterGKranz @WouterSchievink Hi Lorenzo. Two personal cases of hydrops in the context of intracranial hypotension, including one for a patient surgically managed for spina bifida. Very rare condition !

[Arnaud Attyé @arnopowers]

@AmineKorchiMD https://t.co/qU4EFb0rVs

[Arnaud Attyé @arnopowers]

@macromik Complètement, le DL est une super techno pour l’optimisation de séquences ou la segmentation auto mais je ne crois absolument pas à son utilisation pour ce qui impacte vraiment la santé: le diagnostic des maladies (pas des signes radio) et les choix de parcours thérapeutique

[Heudel Pierre @HeudelPierre]

@jeanyvesblay Generative AI and digital twins are tools that must be considered now !!! @geodaisics