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Radiol Artif Intell September 2023 PMID 37795134

The AI Generalization Gap: One Size Does Not Fit All.

Merel Huisman, Gerjon Hannink

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Mentions

43
Peak: 22 in Oct 2023
across 2 sources since Aug 2023

Extended reach

575,840
potential audience

Total likes

89

Video views

195

Mentions per month

Aug 2023 – Jan 2025

Where it's discussed

  • X / Twitter41 posts
  • YouTube2 videos

AI synopsis

What people are saying

The discussion exemplifies a collective recognition of the importance of the article’s topic, with users frequently mentioning terms like 'hidden stratification' and 'collaboration' that suggest engagement with its technical and practical implications. The tone remains analytical and respectful, emphasizing the necessity for tailored solutions in AI generalization, which aligns with the article's message that a one-size-fits-all approach is insufficient.

AgreementModerate agreement

Many discussions acknowledge the significance of the AI generalization gap and highlight the importance of subgroup analysis and collaboration, suggesting general agreement on the article’s relevance.

InterestModerate interest

Users show curiosity about key concepts—such as subgroup stratification and inherent weaknesses—although some express mainly recognition rather than deep curiosity, reflected in moderate interest.

EngagementModerate engagement

Comments often reference specific methods like subgroup analysis and emphasize collaborative efforts, indicating moderate engagement and some detailed engagement with the ideas.

ImpactModerate impact

Discussions imply that the publication addresses a crucial challenge in AI development, with users recognizing that understanding and addressing the generalization gap could influence future research and applications, though mostly in a conceptual way.

Abstract in brief

  • The article discusses the "AI Generalization Gap," which refers to the challenge that AI models often perform well on training data but struggle to maintain that performance on new, unseen data.
  • It emphasizes that there is no single solution ("one size does not fit all") for addressing this gap, as different models and strategies may be needed depending on the specific task or context.
  • The text explores potential approaches to reduce this gap, such as improving training methods, model robustness, and understanding the underlying factors that influence AI generalization.
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Top posts

Most liked on X and Bluesky
Radiology: Artificial Intelligence
@Radiology_AI · X

The issues related to generalizability of #AI applications call for collaboration among researchers, clinicians, and vendors https://t.co/1db8AZrSKQ @merelhuisman @radboudumc #AIBias #DeepLearning #ML https://t.co/Y40mPTX1R2

Aug 30, 2023 · 13 likes · 2 shares · 18,829 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

"[S]ubgroup analysis can reveal hidden stratification, providing insight into the inherent weaknesses of the algorithm" https://t.co/1db8AZrSKQ @merelhuisman @radboudumc #AIBias #generalization #AI https://t.co/7BfqfiW4lU

Sep 2, 2023 · 10 likes · 18,829 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

"[S]ubgroup analysis can reveal hidden stratification, providing insight into the inherent weaknesses of the algorithm" https://t.co/1db8AZrSKQ @merelhuisman @radboudumc #generalization #MachineLearning #ML https://t.co/9mEQnbuF04

Oct 7, 2023 · 6 likes · 2 shares · 18,829 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

The AI Generalization Gap: One Size Does Not Fit All https://t.co/1db8AZrSKQ @merelhuisman @radboudumc #AIBias #DeepLearning #MachineLearning https://t.co/Sg6cK2yFCg

Sep 1, 2023 · 6 likes · 18,829 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

"[S]ubgroup analysis can reveal hidden stratification, providing insight into the inherent weaknesses of the algorithm" https://t.co/1db8AZrSKQ @merelhuisman @radboudumc #AIBias #generalization #MachineLearning https://t.co/uUPAGUIXPT

Sep 25, 2023 · 5 likes · 18,829 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

The AI Generalization Gap: One Size Does Not Fit All https://t.co/1db8AZrSKQ @merelhuisman @radboudumc #AIBias #DeepLearning #ML https://t.co/6nZ2fclRKm

Sep 13, 2023 · 5 likes · 18,829 followers View post →

All mentions

Radiology: Artificial Intelligence
@Radiology_AI · X

#ThrowbackThursday – The AI Generalization Gap: One Size Does Not Fit All (Aug 2023) https://t.co/1db8AZsqAo #AI #ML #DeepLearning https://t.co/XOD6UcE6f9

Jan 2, 2025 · 1 like · 18,829 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

@merelhuisman discusses the AI generalization gap and the subgroup problem https://t.co/1db8AZrSKQ @radboudumc #DeepLearning #AI #ML https://t.co/j6tFM17Ojf

Oct 25, 2023 · 18,829 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

@merelhuisman discusses the AI generalization gap and the subgroup problem https://t.co/1db8AZrSKQ @radboudumc #AIBias #DeepLearning #ML https://t.co/fPx7KltVYJ

Oct 23, 2023 · 18,829 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

"[S]ubgroup analysis can reveal hidden stratification, providing insight into the inherent weaknesses of the algorithm" https://t.co/1db8AZrSKQ @merelhuisman @radboudumc #generalization #AI #ML https://t.co/rTu7NViqM4

Oct 21, 2023 · 18,829 followers View post →
Felipe Kitamura
@FelipeKitamura · X

RT @Radiology_AI: The issues related to generalizability of #AI applications call for collaboration among researchers, clinicians, and vend…

Oct 20, 2023 · 1 share · 1,956 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

The issues related to generalizability of #AI applications call for collaboration among researchers, clinicians, and vendors https://t.co/1db8AZrSKQ @merelhuisman @radboudumc #AIBias #generalization #ML https://t.co/WgUGKiRLJ1

Oct 19, 2023 · 4 likes · 1 share · 18,829 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

The issues related to generalizability of #AI applications call for collaboration among researchers, clinicians, and vendors https://t.co/1db8AZrSKQ @merelhuisman @radboudumc #generalization #DeepLearning #ML https://t.co/vIv7rlQclB

Oct 18, 2023 · 4 likes · 18,829 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

"[S]ubgroup analysis can reveal hidden stratification, providing insight into the inherent weaknesses of the algorithm" https://t.co/1db8AZrSKQ @merelhuisman @radboudumc #AIBias #MachineLearning #ML https://t.co/SPjkpx1H5d

Oct 16, 2023 · 1 like · 18,829 followers View post →
George Kolostoumpis
@gkolost · X

RT @Radiology_AI: The issues related to generalizability of #AI applications call for collaboration among researchers, clinicians, and vend…

Oct 15, 2023 · 1 share · 2,089 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

The issues related to generalizability of #AI applications call for collaboration among researchers, clinicians, and vendors https://t.co/1db8AZrSKQ @merelhuisman @radboudumc #DeepLearning #MachineLearning #ML https://t.co/7uJSvfm3qE

Oct 15, 2023 · 4 likes · 1 share · 18,829 followers View post →
AI X BIO
@AIXBIO · X

RT @Radiology_AI: The issues related to generalizability of #AI applications call for collaboration among researchers, clinicians, and vend…

Oct 14, 2023 · 1 share · 884 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

The issues related to generalizability of #AI applications call for collaboration among researchers, clinicians, and vendors https://t.co/1db8AZrSKQ @merelhuisman @radboudumc #AIBias #MachineLearning #ML https://t.co/zRgMtulJzg

Oct 13, 2023 · 1 like · 1 share · 18,829 followers View post →
Ricardo Vázquez
@ricardo_ik_ahau · X

RT @Radiology_AI: The issues related to generalizability of #AI applications call for collaboration among researchers, clinicians, and vend…

Oct 12, 2023 · 1 share · 3,543 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

The issues related to generalizability of #AI applications call for collaboration among researchers, clinicians, and vendors https://t.co/1db8AZrSKQ @merelhuisman @radboudumc #DeepLearning #MachineLearning #ML https://t.co/yUTqtRTvpL

Oct 12, 2023 · 1 like · 1 share · 18,829 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

@merelhuisman discusses the AI generalization gap and the subgroup problem https://t.co/1db8AZrSKQ @radboudumc #AIBias #generalization #MachineLearning https://t.co/Trw3eUGYjO

Oct 11, 2023 · 18,829 followers View post →
Judie
@JRCH_M · X

RT @Radiology_AI: The issues related to generalizability of #AI applications call for collaboration among researchers, clinicians, and vend…

Oct 8, 2023 · 2 shares · 135 followers View post →
Bright Future
@EmrysB81638 · X

RT @Radiology_AI: The issues related to generalizability of #AI applications call for collaboration among researchers, clinicians, and vend…

Oct 8, 2023 · 2 shares · 12 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

The issues related to generalizability of #AI applications call for collaboration among researchers, clinicians, and vendors https://t.co/1db8AZrSKQ @merelhuisman @radboudumc #AIBias #DeepLearning #MachineLearning https://t.co/YFaemQFzXo

Oct 8, 2023 · 3 likes · 2 shares · 18,829 followers View post →
note
@Nochchan · X

RT @Radiology_AI: "[S]ubgroup analysis can reveal hidden stratification, providing insight into the inherent weaknesses of the algorithm" h…

Oct 7, 2023 · 2 shares · 200 followers View post →
ⓘam NOT here anymore
@ruicarsa · X

RT @Radiology_AI: "[S]ubgroup analysis can reveal hidden stratification, providing insight into the inherent weaknesses of the algorithm" h…

Oct 7, 2023 · 2 shares · 115 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

"[S]ubgroup analysis can reveal hidden stratification, providing insight into the inherent weaknesses of the algorithm" https://t.co/1db8AZrSKQ @merelhuisman @radboudumc #generalization #MachineLearning #ML https://t.co/9mEQnbuF04

Oct 7, 2023 · 6 likes · 2 shares · 18,829 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

"[S]ubgroup analysis can reveal hidden stratification, providing insight into the inherent weaknesses of the algorithm" https://t.co/1db8AZsqAo @merelhuisman @radboudumc #DeepLearning #AI #ML https://t.co/krs0epUiyv

Oct 5, 2023 · 4 likes · 18,829 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

The AI Generalization Gap: One Size Does Not Fit All https://t.co/1db8AZrSKQ @merelhuisman @radboudumc #AIBias #DeepLearning #MachineLearning https://t.co/f0Snl34XmA

Oct 2, 2023 · 18,829 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

The AI Generalization Gap: One Size Does Not Fit All https://t.co/1db8AZrSKQ @merelhuisman @radboudumc #AIBias #generalization #MachineLearning https://t.co/nz4MC5f9wB

Sep 29, 2023 · 4 likes · 18,829 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

"[S]ubgroup analysis can reveal hidden stratification, providing insight into the inherent weaknesses of the algorithm" https://t.co/1db8AZrSKQ @merelhuisman @radboudumc #AIBias #generalization #MachineLearning https://t.co/uUPAGUIXPT

Sep 25, 2023 · 5 likes · 18,829 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

@merelhuisman discusses the AI generalization gap and the subgroup problem https://t.co/1db8AZrSKQ @radboudumc #AIBias #AI #ML https://t.co/Ptgc2g9XG6

Sep 22, 2023 · 1 like · 18,829 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

The AI Generalization Gap: One Size Does Not Fit All https://t.co/1db8AZrSKQ @merelhuisman @radboudumc #generalization #MachineLearning #AI https://t.co/8Yeu6AVr2F

Sep 18, 2023 · 2 likes · 18,829 followers View post →
Eduardo Caminha
@ecaminhan · X

RT @Radiology_AI: @merelhuisman discusses the AI generalization gap and the subgroup problem https://t.co/1db8AZrSKQ @radboudumc #AIBias #M…

Sep 18, 2023 · 1 share · 18 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

@merelhuisman discusses the AI generalization gap and the subgroup problem https://t.co/1db8AZrSKQ @radboudumc #AIBias #MachineLearning #AI https://t.co/i1DUdoCLYG

Sep 17, 2023 · 1 share · 18,829 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

@merelhuisman discusses the AI generalization gap and the subgroup problem https://t.co/1db8AZrSKQ @radboudumc #DeepLearning #MachineLearning #ML https://t.co/Vx3AvEwIaL

Sep 15, 2023 · 1 like · 18,829 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

The AI Generalization Gap: One Size Does Not Fit All https://t.co/1db8AZrSKQ @merelhuisman @radboudumc #AIBias #DeepLearning #ML https://t.co/6nZ2fclRKm

Sep 13, 2023 · 5 likes · 18,829 followers View post →
Sanaz(Shanli)Vahdati, MD
@ShanliVahdati · X

RT @Radiology_AI: "[S]ubgroup analysis can reveal hidden stratification, providing insight into the inherent weaknesses of the algorithm" h…

Sep 11, 2023 · 1 share · 697 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

"[S]ubgroup analysis can reveal hidden stratification, providing insight into the inherent weaknesses of the algorithm" https://t.co/1db8AZrSKQ @merelhuisman @radboudumc #AIBias #DeepLearning #ML https://t.co/y4qb4XCghb

Sep 11, 2023 · 4 likes · 1 share · 18,829 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

The issues related to generalizability of #AI applications call for collaboration among researchers, clinicians, and vendors https://t.co/1db8AZrSKQ @merelhuisman @radboudumc #AIBias #generalization #ML https://t.co/dXdVkC7OeU

Sep 9, 2023 · 2 likes · 18,829 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

The issues related to generalizability of #AI applications call for collaboration among researchers, clinicians, and vendors https://t.co/1db8AZsqAo @merelhuisman @radboudumc #AIBias #generalization #MachineLearning https://t.co/A6ANlzUGdc

Sep 8, 2023 · 4 likes · 18,829 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

The AI Generalization Gap: One Size Does Not Fit All https://t.co/1db8AZrSKQ @merelhuisman @radboudumc #AIBias #AI #ML https://t.co/ImK8eBruMp

Sep 4, 2023 · 3 likes · 18,829 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

"[S]ubgroup analysis can reveal hidden stratification, providing insight into the inherent weaknesses of the algorithm" https://t.co/1db8AZrSKQ @merelhuisman @radboudumc #AIBias #generalization #AI https://t.co/7BfqfiW4lU

Sep 2, 2023 · 10 likes · 18,829 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

The AI Generalization Gap: One Size Does Not Fit All https://t.co/1db8AZrSKQ @merelhuisman @radboudumc #AIBias #DeepLearning #MachineLearning https://t.co/Sg6cK2yFCg

Sep 1, 2023 · 6 likes · 18,829 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

RT @Radiology_AI: The issues related to generalizability of #AI applications call for collaboration among researchers, clinicians, and vend…

Aug 31, 2023 · 2 shares · 18,829 followers View post →
Merel Huisman MD PhD
@merelhuisman · X

RT @Radiology_AI: The issues related to generalizability of #AI applications call for collaboration among researchers, clinicians, and vend…

Aug 31, 2023 · 2 shares · 1,067 followers View post →
Radiology: Artificial Intelligence
@Radiology_AI · X

The issues related to generalizability of #AI applications call for collaboration among researchers, clinicians, and vendors https://t.co/1db8AZrSKQ @merelhuisman @radboudumc #AIBias #DeepLearning #ML https://t.co/Y40mPTX1R2

Aug 30, 2023 · 13 likes · 2 shares · 18,829 followers View post →