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Discussions surrounding the key challenges of AI in healthcare feature participants addressing specific hurdles like the need for more robust clinical trials and the complexities of real-world data application. For example, one comment mentions the article highlighting that most studies in AI have been retrospective, which underlines the limitations of current AI implementations. Phrases such as 'translating AI from research to clinical practice' and 'metrics that go beyond technical accuracy' underscore the urgency and importance attributed to this topic, showcasing an overall tone of concern mixed with a quest for practical solutions.
Many discussions reflect a consensus about the challenges highlighted in the article, acknowledging the complexity of integrating AI into clinical practice.
There is a high level of curiosity reflected in the discussions, with many participants expressing a desire to explore and understand the implications of the research.
While several comments show basic acknowledgment of the content, some delve deeper into the specifics of AI applications, indicating varied levels of engagement.
Participants recognize the article's potential influence on the future of healthcare and AI, emphasizing its relevance and necessity in clinical environments.
Article about the use of AI in healthcare, coauthored by DeepMind cofounder Mustafa Suleyman: "...metrics that are intuitive to clinicians and ideally go beyond measures of technical accuracy to include quality of care and patient outcomes, is essential"1/ https://t.co/qCxJxQJYnm https://t.co/v5IYrkrkky
This is what they call a page-turner. An excellent synopsis of the challenges of medical AI deployment, and a solid overview of the field and applications. Thanks @alan_karthi @mustafasuleymn @Dominic1King @greg_corrado https://t.co/uTmLhWmgp2
Tıpta yapay zeka ile ilgilenler için yansız ve güzel derleme. Algoritmanın kliniğine uygulanmasındaki sorunlar, geçerlilik güvenirlik sorunları. #Tıp, #YapayZeka https://t.co/AMuPJbCAfU
Interesting Google Health perspective on implementing medical AI. @AcrDsi @SIIM_tweets Key challenges for delivering clinical impact with artificial intelligence | BMC Medicine | Full Text https://t.co/cc3hTx0fua
Artikkeli #AI käytöstä terveydenhuollossa, "kliinisten lääkärien kannalta intuitiiviset mittatiedot, jotka ylittävät mieluiten teknisen tarkkuuden mittaukset, joihin sisältyy hoidon laatu ja potilaan tulokset, ovat välttämättömiä" #sote #tekoäly @MKorja https://t.co/9psbPIpvq7 https://t.co/zpzzXt2WxQ
Key challenges for delivering clinical impact with artificial intelligence https://t.co/Ta5nCJ6ntY #AI #DeepLearning #MachineLearning #DataScience https://t.co/p87fjqZOsU
Artificial intelligence (AI) research in healthcare is accelerating rapidly, yet practical applications within clinical settings remain limited. This video discusses the significant obstacles hindering AI adoption…
AI research in healthcare is rapidly growing, yet practical applications remain limited. This video explores key challenges including machine learning, implementation logistics, and sociocultural factors hindering AI…
AI research in healthcare is growing rapidly, yet practical applications remain limited due to challenges related to machine learning science, implementation logistics, and sociocultural factors. Explore key solutions…
AI research in healthcare is growing, yet practical applications face significant challenges. This video discusses obstacles in machine learning, implementation logistics, and sociocultural factors, as well as solutions…
AI research in healthcare is growing rapidly, but practical applications in clinical settings are still limited due to various challenges. This video explores significant obstacles and presents key solutions to enhance…
Key challenges for delivering clinical impact with artificial intelligence. https://t.co/y2BZdb03Oe #ArtificialIntelligence
RT @JayChance12: @NIHDirector @doudna_lab @UCBerkeley @SFNeurologie @CHU_Grenoble @HopPitieSalpe @biorxiv_neursci @NeuroscienceNew @Imaging…
RT @Jaychance5J: @JayChance12 @NIHDirector @doudna_lab @UCBerkeley @SFNeurologie @CHU_Grenoble @HopPitieSalpe @biorxiv_neursci @Neuroscienc…
RT @pash22: @sib313 @GeoffSchrecker @DrBekkiR @DrSimonHodes @ksb79 @DrSelvarajah @NHSEngland @Parody_RCGP @DrNeenaJha @vanmellaerts @christ…
RT @pash22: @sib313 @GeoffSchrecker @DrBekkiR @DrSimonHodes @ksb79 @DrSelvarajah @NHSEngland @Parody_RCGP @DrNeenaJha @vanmellaerts @christ…
@sib313 @GeoffSchrecker @DrBekkiR @DrSimonHodes @ksb79 @DrSelvarajah @NHSEngland @Parody_RCGP @DrNeenaJha @vanmellaerts @christheeagle1 @rcgp @Azeem_Majeed @Carolynyjohnson @GoogleHealth 's @chrisck et al wrote a v good article in 2019 'Key challenges for delivering clinical impact with artificial intelligence' https://t.co/U2qW05UqyJ https://t.co/I8oqVlfVO7
RT @JayChance12: @NIHDirector @doudna_lab @UCBerkeley @SFNeurologie @CHU_Grenoble @HopPitieSalpe @biorxiv_neursci @NeuroscienceNew @Imaging…
RT @Jaychance5J: @JayChance12 @NIHDirector @doudna_lab @UCBerkeley @SFNeurologie @CHU_Grenoble @HopPitieSalpe @biorxiv_neursci @Neuroscienc…
@NIHDirector @doudna_lab @UCBerkeley @SFNeurologie @CHU_Grenoble @HopPitieSalpe @biorxiv_neursci @NeuroscienceNew @ImagingOrg @Nanowerk @NatureNeuro @InstitutCerveau @mitbrainandcog @Cognition_ENS @Eduscol @EPFL @Inria @Inserm @GoogleAI @IBM @crctoncopole @canceropole @CanceropoleGSO @CanceropolePACA @BlogNeuroCNRS @natBME @NatureMedicine @AAPSonline @harvardmed @StanfordMed @CHUdeToulouse 21st Century ➡️https://t.co/igDfk5P9n5 ➡️https://t.co/iQLpi83jEC ➡️https://t.co/AXkRaPzTNu ➡️https://t.co/JCldwtMCav
@JayChance12 @NIHDirector @doudna_lab @UCBerkeley @SFNeurologie @CHU_Grenoble @HopPitieSalpe @biorxiv_neursci @NeuroscienceNew @ImagingOrg @Nanowerk @NatureNeuro @InstitutCerveau @mitbrainandcog @Cognition_ENS @Eduscol @EPFL @Inria @Inserm @GoogleAI @IBM 21st Century ➡️https://t.co/P9oqiLdVDj ➡️https://t.co/SDCzTN8ipF ➡️https://t.co/RYjMk8ky13 ➡️https://t.co/noBVHZrvff
RT @Hackveda: Research on future scope of: Key challenges for delivering clinical impact with artificial intelligence. Connect with us for…
Research on future scope of: Key challenges for delivering clinical impact with artificial intelligence. Connect with us for a free consultation on your research project #100DaysOfCode #research #phd #employee #performance https://t.co/vLq4V2R3uT
@timrittman @barttels2 @Keith_Laws @BBCPallab @MadhavThambiset @ProfRobHoward @jasonkarlawish @geoperry @LonSchneiderMD @reshmagar @ZiNLActueel Will also be v interested to learn how you will overcome the challenges of using real world data for delivering clinical impact with artificial intelligence. Chk out 'https://t.co/U2qW05TSJb ' via @alan_karthi et al
@merbroussard " Another algorithm for detection of pneumonia on chest x-rays was able to accurately identify hospital equipment and department, learning an association between a portable x-ray machine and pneumonia" [75] https://t.co/ktiY9e3hmL https://t.co/ZUFiFn2v7U
#Challenges to #AI for delivering #impact in #clinical settings are huge! This piece on @BMCMedicine comprehensively highlights the issues that need to be addressed for #AI to be successful in real settings. https://t.co/MowDS3vorZ https://t.co/thdSGH3kon
RT @sinhanavin1: Vast majority of #AI studies have been retrospective, meaning that they use historically labelled data to train and test #…
RT @adamcifu: This is a really good article. @VPrasadMDMPH https://t.co/O32UjkfEes
@henninglangberg @Altingetdk @Rigshospitalet 2/4 I en videnskabelige artikel: Der er kun få eksempler på, at teknologi med AI kunne anvendes med succes i klinisk praksis. Der er et overvældende antal studier. Derfor overraskende hvor få eksempler på anvendelsen af algoritmer i praksis. https://t.co/W8PmVs3fo6 https://t.co/rchQkcJmWI
RT @MTH_Pitt: This article explores the main challenges and limitations of #AI in healthcare, and considers the steps required to translate…
This article explores the main challenges and limitations of #AI in healthcare, and considers the steps required to translate these potentially transformative technologies from #research to #clinical practice. From @BioMedCentral https://t.co/ZEaKMJZs6i https://t.co/Gq5KiQN8U9
Key challenges for delivering clinical impact with #ArtificialInteligence - https://t.co/wfnUEXFT8C #AI #MakingAIWork
Key challenges for delivering clinical impact with artificial intelligence https://t.co/ho2SMWzeew
RT @ruchowdh: Article about the use of AI in healthcare, coauthored by DeepMind cofounder Mustafa Suleyman: "...metrics that are intuitive…
RT @ruchowdh: Article about the use of AI in healthcare, coauthored by DeepMind cofounder Mustafa Suleyman: "...metrics that are intuitive…
RT @ruchowdh: Article about the use of AI in healthcare, coauthored by DeepMind cofounder Mustafa Suleyman: "...metrics that are intuitive…
RT @RauhalaMarko: Artikkeli #AI käytöstä terveydenhuollossa, "kliinisten lääkärien kannalta intuitiiviset mittatiedot, jotka ylittävät miel…
RT @ruchowdh: Article about the use of AI in healthcare, coauthored by DeepMind cofounder Mustafa Suleyman: "...metrics that are intuitive…
Der er kun ganske få eksempler på at AI virker i klinisk praksis og i sundhedsvæsenet https://t.co/W8PmVs3fo6 (se mere https://t.co/in8KyFduoh) https://t.co/tn136i7iT8 https://t.co/v8M9ixerMi
RT @ruchowdh: Article about the use of AI in healthcare, coauthored by DeepMind cofounder Mustafa Suleyman: "...metrics that are intuitive…
RT @RauhalaMarko: Artikkeli #AI käytöstä terveydenhuollossa, "kliinisten lääkärien kannalta intuitiiviset mittatiedot, jotka ylittävät miel…
Artikkeli #AI käytöstä terveydenhuollossa, "kliinisten lääkärien kannalta intuitiiviset mittatiedot, jotka ylittävät mieluiten teknisen tarkkuuden mittaukset, joihin sisältyy hoidon laatu ja potilaan tulokset, ovat välttämättömiä" #sote #tekoäly @MKorja https://t.co/9psbPIpvq7 https://t.co/zpzzXt2WxQ
RT @ruchowdh: Article about the use of AI in healthcare, coauthored by DeepMind cofounder Mustafa Suleyman: "...metrics that are intuitive…
RT @ruchowdh: Article about the use of AI in healthcare, coauthored by DeepMind cofounder Mustafa Suleyman: "...metrics that are intuitive…
RT @ruchowdh: Article about the use of AI in healthcare, coauthored by DeepMind cofounder Mustafa Suleyman: "...metrics that are intuitive…
RT @ruchowdh: Article about the use of AI in healthcare, coauthored by DeepMind cofounder Mustafa Suleyman: "...metrics that are intuitive…
RT @ruchowdh: Article about the use of AI in healthcare, coauthored by DeepMind cofounder Mustafa Suleyman: "...metrics that are intuitive…
RT @ruchowdh: Article about the use of AI in healthcare, coauthored by DeepMind cofounder Mustafa Suleyman: "...metrics that are intuitive…
Article about the use of AI in healthcare, coauthored by DeepMind cofounder Mustafa Suleyman: "...metrics that are intuitive to clinicians and ideally go beyond measures of technical accuracy to include quality of care and patient outcomes, is essential"1/ https://t.co/qCxJxQJYnm https://t.co/v5IYrkrkky
Key challenges for delivering clinical impact with #AI https://t.co/CHGxmxDkrB
Why do we see so many papers in #AI in healthcare, and so little #AI in the clinics? Well, we need to fix a few problems first. https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-019-1426-2
Why do we see so many papers in #AI in healthcare, and so little #AI in the clinics? Well, we need to fix a few problems first. https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-019-1426-2
Why do we see so many papers in #AI in healthcare, and so little #AI in the clinics? Well, we need to fix a few problems first. https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-019-1426-2
Why do we see so many papers in #AI in healthcare, and so little #AI in the clinics? Well, we need to fix a few problems first. https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-019-1426-2
Vast majority of #AI studies have been retrospective, meaning that they use historically labelled data to train and test #Algorithms . Prospective studies will understand the true utility of AI systems. more here:- https://t.co/5n2YqWvhEc
To improve understanding, #medical #Students and practicing clinicians should be provided with an easily accessible #AI curriculum to enable them to critically appraise, #Adopt and use AI tools safely in their #practice . more here:- https://t.co/5n2YqWvhEc
RT @MikeTamir: Key challenges for delivering clinical impact with artificial intelligence https://t.co/Ta5nCJ6ntY #AI #DeepLearning #Machin…
RT @MikeTamir: Key challenges for delivering clinical impact with artificial intelligence https://t.co/Ta5nCJ6ntY #AI #DeepLearning #Machin…
RT @MikeTamir: Key challenges for delivering clinical impact with artificial intelligence https://t.co/Ta5nCJ6ntY #AI #DeepLearning #Machin…
Key challenges for delivering clinical impact with artificial intelligence https://t.co/OXznbZNXeV #ai
Why #machinelearning? RT @stanford__ai: Key challenges for delivering clinical impact with artificial intelligence https://t.co/12pCdUun9N #AI… https://t.co/nUnQSOErGa
Key challenges for delivering clinical impact with artificial intelligence https://t.co/P2J9LegqDj #AI #DeepLearning #MachineLearning #DataScience https://t.co/lbMCJFnF09
RT @MikeTamir: Key challenges for delivering clinical impact with artificial intelligence https://t.co/Ta5nCJ6ntY #AI #DeepLearning #Machin…
Key challenges for delivering clinical impact with artificial intelligence https://t.co/Ta5nCJ6ntY #AI #DeepLearning #MachineLearning #DataScience https://t.co/p87fjqZOsU
Translating AI from research to clinical practice..is it possible?https://t.co/p6Nj7FQNBx
Key challenges for delivering clinical impact with artificial intelligence | BMC Medicine | Full Text https://t.co/ojlTpiLn1v
Paper: "Key challenges for delivering clinical impact with artificial intelligence" | @BMCMedicine https://t.co/qAQ7giBkhs #ai #healthcare #health #medicine https://t.co/0mc4dnycsE
RT @MehmetE_Krkmz: Tıpta yapay zeka ile ilgilenler için yansız ve güzel derleme. Algoritmanın kliniğine uygulanmasındaki sorunlar, geçerlil…
RT @chrisck: New paper published!
Before we get caught up in the hype surrounding some of the potential impact of certain technologies in the healthcare space, take a moment to understand the full scope of the challenges and the benefits. https://t.co/zqIl8PTGqy #healthIT #medtech #AI
New in @BMCMedicine "Key challenges for delivering clinical impact with artificial intelligence" -CJ Kelly, @alan_karthi, @mustafasuleymn, @greg_corrado, @Dominic1King https://t.co/P7OIXwurMu
#Reading Key challenges for delivering clinical impact with artificial intelligence https://t.co/oHvn6Uw6Cr
#MachineLearning https://t.co/fbOZ25mLZp
RT @chrisck: New paper published!
Key challenges for delivering clinical impact with artificial intelligence - Docwire News https://t.co/g5i5VUBZXo #ai #ml #dl
Key challenges for delivering clinical impact with artificial intelligence https://t.co/6oQ81eBYzT #translation #vocabridge
RT @into_AI: Key challenges for delivering clinical impact with artificial intelligence - Artificial https://t.co/zOyG1fysCx #ai #intoAInews
Key challenges for delivering clinical impact with artificial intelligence - Artificial https://t.co/zOyG1fysCx #ai #intoAInews
Key challenges for delivering clinical impact with artificial intelligence. #ArtificialIntelligence #aiandthelaw #aiethics https://t.co/f9QZkgl3Hw
Key challenges for delivering clinical impact with artificial intelligence - DocWire News: Key challenges for delivering clinical impact with artificial intelligence DocWire News https://t.co/HzWmbGeuM4 #AI #artificialintelligence #CTO https://t.co/GFJDedbzQe
RT @chrisck: New paper published!
Key challenges for delivering clinical impact with artificial intelligence | BMC Medicine https://t.co/didf2oQc52
RT @AndreEsteva: This is what they call a page-turner. An excellent synopsis of the challenges of medical AI deployment, and a solid overvi…
RT @AndreEsteva: This is what they call a page-turner. An excellent synopsis of the challenges of medical AI deployment, and a solid overvi…
Key challenges for delivering clinical impact with artificial intelligence | BMC Medicine | Full Text https://t.co/EhAwHPDdSF
RT @Dominic1King: In this article with Google Health colleagues (led by @chrisck) we explore the important challenges in translating exciti…
RT @AndreEsteva: This is what they call a page-turner. An excellent synopsis of the challenges of medical AI deployment, and a solid overvi…
RT @chrisck: New paper published!
This is what they call a page-turner. An excellent synopsis of the challenges of medical AI deployment, and a solid overview of the field and applications. Thanks @alan_karthi @mustafasuleymn @Dominic1King @greg_corrado https://t.co/uTmLhWmgp2
RT @chrisck: New paper published!
RT @chrisck: New paper published!
RT @quantrad: Interesting Google Health perspective on implementing medical AI. @AcrDsi @SIIM_tweets Key challenges for delivering clinical…
RT @Dominic1King: In this article with Google Health colleagues (led by @chrisck) we explore the important challenges in translating exciti…
RT @chrisck: New paper published!
Key challenges for delivering clinical impact with artificial intelligence #artificialintelligence https://t.co/vJAww7KAAD
RT @chrisck: New paper published!
RT @chrisck: New paper published!
RT @chrisck: New paper published!
RT @adamcifu: This is a really good article. @VPrasadMDMPH https://t.co/O32UjkfEes
RT @dafyddloughran: Want to understand where we are with clinical AI? Just read this summary. Nails it. https://t.co/vWM3M8S0Tf "...a caut…
RT @chrisck: New paper published!
RT @chrisck: New paper published!
RT @levshapiro: Key challenges for delivering clinical impact with artificial intelligence @biomedcentral @Google #AI #healthcare #digitalh…
Key challenges for delivering clinical impact with artificial intelligence @biomedcentral @Google #AI #healthcare #digitalhealth https://t.co/56wFGeYtQK
RT @adamcifu: This is a really good article. @VPrasadMDMPH https://t.co/O32UjkfEes
RT @chrisck: New paper published!
https://t.co/MDZiRLFLXv
Want to understand where we are with clinical AI? Just read this summary. Nails it. https://t.co/vWM3M8S0Tf "...a cautionary example of how higher accuracy enabled by AI systems doesn't necessarily result in better patient outcomes" @chrisck @Dominic1King @alan_karthi
RT @future_of_AI: Key challenges for delivering clinical impact with artificial intelligence https://t.co/6veQRAF9jw #AI #healthcare via @E…
Key challenges for delivering clinical impact with artificial intelligence https://t.co/6veQRAF9jw #AI #healthcare via @EricTopol
RT @adamcifu: This is a really good article. @VPrasadMDMPH https://t.co/O32UjkfEes
RT @MedAppsAB: Key challenges for delivering clinical impact with #ArtificialIntelligence | #HealthTech #DigitalHealth #AI #ML #HealthData…
RT @MedAppsAB: Key challenges for delivering clinical impact with #ArtificialIntelligence | #HealthTech #DigitalHealth #AI #ML #HealthData…
Key challenges for delivering clinical impact with #ArtificialIntelligence | #HealthTech #DigitalHealth #AI #ML #HealthData #DigitalHealth #eHealth #HealthIT #Healthcare #MedTech #Diagnosis | https://t.co/E8Dx1yLPoA - via @BioMedCentral
Excelente revisión sobre inteligencia artificial en BMC. https://t.co/c6DLP4qNJf
RT @adamcifu: This is a really good article. @VPrasadMDMPH https://t.co/O32UjkfEes
This is a really good article. @VPrasadMDMPH https://t.co/O32UjkfEes
“The safe and timely translation of AI research into clinically validated and appropriately regulated systems that can benefit everyone is challenging. Robust clinical evaluation, using metrics that are... https://t.co/1hnXXlfzeP
RT @chrisck: New paper published!
Key challenges for delivering clinical impact with artificial intelligence https://t.co/cxPn7KFZJU #AI #Research via @jeremyphoward
RT @chrisck: New paper published!
RT @Dominic1King: In this article with Google Health colleagues (led by @chrisck) we explore the important challenges in translating exciti…
RT @chrisck: New paper published!
RT @quantrad: Interesting Google Health perspective on implementing medical AI. @AcrDsi @SIIM_tweets Key challenges for delivering clinical…
RT @chrisck: New paper published!
RT @chrisck: New paper published!
RT @TimotheCynober: Key challenges for delivering #clinical impact with #AI @BMCMedicine https://t.co/Nq42scQ2ei #biais #generalisability…
RT @Dominic1King: In this article with Google Health colleagues (led by @chrisck) we explore the important challenges in translating exciti…
RT @chrisck: New paper published!
RT @Dominic1King: In this article with Google Health colleagues (led by @chrisck) we explore the important challenges in translating exciti…
RT @Allpowersphysio: And... Key challenges for delivering clinical impact with artificial intelligence https://t.co/4WPShtvtj6
And... Key challenges for delivering clinical impact with artificial intelligence https://t.co/4WPShtvtj6
Key challenges for delivering #clinical impact with #AI @BMCMedicine https://t.co/Nq42scQ2ei #biais #generalisability #interoperability
RT @Dominic1King: In this article with Google Health colleagues (led by @chrisck) we explore the important challenges in translating exciti…
RT @chrisck: New paper published!
RT @chrisck: New paper published!
Tıpta yapay zeka ile ilgilenler için yansız ve güzel derleme. Algoritmanın kliniğine uygulanmasındaki sorunlar, geçerlilik güvenirlik sorunları. #Tıp, #YapayZeka https://t.co/AMuPJbCAfU
RT @chrisck: New paper published!
RT @chrisck: New paper published!
RT @chrisck: New paper published!
Key challenges for delivering clinical impact with artificial intelligence (via @BMCMedicine @BioMedCentral) #AI #DL #ML #Algorithms #HealthData #Bias #DigitalMedicine #DigitalHealth #HealthEquity #HealthPolicy https://t.co/PHnoBxbZ0y https://t.co/tprny2Hus3
RT @StephanieCion: Key challenges for delivering clinical impact with artificial intelligence #ehr #emr https://t.co/UkrenHDqSh
Key challenges for delivering clinical impact with artificial intelligence #ehr #emr https://t.co/UkrenHDqSh
"...nature of machine learning models. Proactive regulation will give confidence to clinicians and healthcare systems." Key challenges for delivering clinical impact with artificial intelligence
RT @quantrad: Interesting Google Health perspective on implementing medical AI. @AcrDsi @SIIM_tweets Key challenges for delivering clinical…
Interesting Google Health perspective on implementing medical AI. @AcrDsi @SIIM_tweets Key challenges for delivering clinical impact with artificial intelligence | BMC Medicine | Full Text https://t.co/cc3hTx0fua
Key challenges for delivering clinical impact with artificial intelligence https://t.co/Qcslvpenuf