Medical Technology

Current search: challenges machinelearning

@SPIEtweets 9 months ago

Regulatory considerations for #MedicalImaging #AI/ML devices: concepts & challenges. Read the #OpenAccess report by @US_FDA in #SPIE_JMI: https://www.spiedigitallibrary.org/journals/journal-of-medical-imaging/volume-10/issue-05/051804/Regulatory-considerations-for-medical-imaging-AI-ML-devices-in-the/10.1117/1.JMI.10.5.051804.full?utm_campaign=twitter&utm_content=1688180400&utm_medium=social_networking&utm_source=customer_centric_multi_product #MachineLearning #MedTwitter https://t.co/nk6L1KvB3Y

@raqini 12 months ago

From 2 May my work on #machineLearning #AIethics exhibited in central London at #HumantoArtificial! I'll show an #AI medical decision tool working & related ethical challenges!So excited🤩 ⏰ 2May-30June Arcade,Bush House @KCLBHI @KingsIoPPN @NIHRMaudsleyBRC @aiatkings https://t.co/AESxyRzuyG

@giemmecci 1 year ago

Join us today at 8 pm ET for this month #RadAIchat discussing opportunities and challenges associated with the use of synthetic data in medical imaging. #MachineLearning #DeepLearning @RSNA @Radiology_AI https://twitter.com/radiology_ai/status/1630977288408793094

@Radiology_AI 1 year ago

The challenges of training a very large medical imaging #transformer model https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #ML #MachineLearning https://t.co/y3sZ38NIZ7

@Radiology_AI 1 year ago

The challenges of training a very large medical imaging #transformer model https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #DeepLearning #ML #MachineLearning https://t.co/zkCddWgOZR

@Radiology_AI 1 year ago

The challenges of training a very large medical imaging #transformer model https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #AI #MachineLearning https://t.co/SlT3r4lHqe

@Radiology_AI 1 year ago

The challenges of training a very large medical imaging #transformer model https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #AI #ML #MachineLearning https://t.co/ij1qLOqOrw

@Radiology_AI 1 year ago

The challenges of training a very large medical imaging #transformer model https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #Transformers #AI #MachineLearning https://t.co/68vIIKCDag

@Radiology_AI 1 year ago

The challenges of training a very large medical imaging #transformer model https://doi.org/10.1148/ryai.210284 @StanfordRad @StanfordMed #BERT #DeepLearning #MachineLearning #AMIA2022 https://t.co/LvndChK6Cw

@freddytn 1 year ago

Shifting #MachineLearning for #healthcare from development to deployment & from models to data By A Zhang, L Xing, J Zou & J Wu Data-centric view of #innovation + challenges #health #medicine #datascience #artificialintelligence @natBME @NaturePortfolio https://www.nature.com/articles/s41551-022-00898-y

@MinaNMincheva 1 year ago

The #AI debate, Con: @PWGTennant beautifully explaining the principles of #MachineLearning before delving into the challenges with AI being applied in modern medicine #ESHRE2022 https://t.co/AhfzihQ67k

@arXiv_Daily 1 year ago

Reinforcement Learning in Medical Image Analysis: Concepts, Applications, Challenges, and Future Directions https://deepai.org/publication/reinforcement-learning-in-medical-image-analysis-concepts-applications-challenges-and-future-directions by Mingzhe Hu et al. #MachineLearning #UnsupervisedLearning

@youldash 1 year ago

After a work that lasted many months with considerable setbacks, I've finally completed the AI for Healthcare #Udacity Nanodegree program. Highly recommended to those interested in applying #MachineLearning, #DeepLearning and #DataScience techniques to solving medical challenges. https://t.co/303Oi07cFO

@gliffai 2 years ago

http://gliff.ai are delighted to be part of the #ScotAISummit. The panel addressing challenges for trustworthy #AI in #healthcare has been a fantastic opportunity to highlight excellent practices, work and learnings. #machinelearning #MLOps #medtech #medicalAI #healthAI https://t.co/BF7O7IJTET

@CellPressNews 2 years ago

In this review, the authors highlight key promises and achievements in integration of #MachineLearning platforms into #ClinicalMedicine and outline limitations and challenges toward enhanced integration of #LearningSystems into the medical realm.

@CellPressNews 2 years ago

@AI4Pathology 2 years ago

Our new @natBME short paper demonstrates utility and identifies key challenges associated with using #synthetic data in #MachineLearning and #AI for medicine. Read link: https://rdcu.be/cmAfk Journal link: https://go.nature.com/3wtgSDr @richarizardd95 https://t.co/igwJTa8EZj

@_SanjayDas 3 years ago

#MachineLearning in #medicine, despite the challenges, can help us to benefit in the following fields: https://bit.ly/35Qgv9F #healthcare #HealthTech #HealthIT CC: @EvanKirstel @mvoller11 @antgrasso @LindaGrass0 @mikequindazzi @evankirstel @iiot_world @ronald_vanloon https://t.co/ALa3t2pCSO

@jamamark3 3 years ago

#MachineLearning in #medicine, despite the challenges, can help us to benefit in a few fields. Details: https://bit.ly/35Qgv9F #healthcare #HealthTech #HealthIT @EvanKirstel @mvoller11 @antgrasso @LindaGrass0 @mikequindazzi @evankirstel @iiot_world @ronald_vanloon https://t.co/VdkICmqsgj

@_SanjayDas 3 years ago

@KirkDBorne 3 years ago

New report from @USGAO and @theNAMedicine — #AI is Promising in #HealthCare, but Challenges Remain: https://dy.si/qMwh9T2 —————— #AIEthics #TrustedAI #XAI #BigData #DataScience #MachineLearning #DeepLearning #AI4good #HealthTech #Medicine #PrecisionMedicine #ClinicalAnalytics https://t.co/Y4UD9dMN8a

@Calsoft_Data 3 years ago

#MachineLearning in #medicine, despite the challenges, can help us to benefit in the following fields: https://bit.ly/35Qgv9F #healthcare #HealthTech #HealthIT #ML CC: @EvanKirstel @mvollmer1 @antgrasso @LindaGrass0 @mikequindazzi @evankirstel @iiot_world @ronald_vanloon https://t.co/1cWBbwLdkC

@sujatvis 3 years ago

#MachineLearning in #medicine, despite the challenges, can help us to benefit in the following fields: https://bit.ly/2YnPojB #healthcare #HealthTech #HealthIT CC: @EvanKirstel @mvoller11 @antgrasso @LindaGrass0 @mikequindazzi @evankirstel @iiot_world @ronald_vanloon https://t.co/J6e3F5yyWH

@Cambridge_Uni 3 years ago

The pandemic has presented huge challenges for #clinicaltrials, but #machinelearning techniques could help improve them, both during the pandemic and beyond. New research from the Cambridge Centre for AI in Medicine @CC4AIM: https://bit.ly/3hX7gIT @MihaelaVDS #COVID19

@sujatvis 3 years ago

@moorejh 3 years ago

Interested applying ML & AI to electronic health record data? Join me at 10:40am EDT for my TransMed 2020 keynote on 20 challenges for AI in medicine as part of #ISMB2020 https://www.iscb.org/cms_addon/conferences/ismb2020/tracks/transmedcosi #artificialintelligence #machinelearning #EHR #informatics #bioinformatics

@imageannotation 4 years ago

The future of #ArtificialIntelligence (#AI) in medical imaging is full of promise as well as challenges. Computer vision can support researchers in diagnosing diseases and in pursuing new routes of treatment. Learn more: https://buff.ly/3aHNmyF #Blockchain #MachineLearning https://t.co/oO1Du8PL8h

@eenork 4 years ago

My superhero #WomenInScience: @GSBS_UMassMed @karlssonlab grad students @tabbloza (as Kitty Pryde) and @shirley_xueli41 (as Blink) fearlessly tackle new challenges in #bioinformatics #MachineLearning #genomics #medicine Future is bright. @broadinstitute https://t.co/hDCSKHn6Rn

@raamana_ 4 years ago

Hi @geoffreyhinton, claiming #DeepLearning will replace radiologists in 5yrs is outrageous. I'll be happy to explain the challenges and why we the domain experts call it computer-AIDED diagnosis, not automated Dx. https://youtu.be/2HMPRXstSvQ #medicine #AI @GaryMarcus #MachineLearning

@ExponentialMed 4 years ago

A.I. Enabled Healthcare, Potential & Challenges... @DeepMind_Health's Dr. @Alan_Karthi at Exponential Medicine on #AI and #MachineLearning being applied to diagnosis & therapy. http://bit.ly/AI-Enabled-Healthcare #xMed #BigData @ExponentialMed @SingularityU

@Nitish_Sharma23 5 years ago

Infographics: Security Challenges That Gives Nightmare To Connected Medical Device Manufacturers. #DeepLearning #KSQL #MQTT #IoT #Sensor #BigData #Analytics #MachineLearning #DataScience #AI #RStats #ReactJS #VueJS #GoLang #CloudComputing #Serverless #100daysofcode #CodeNewbie https://t.co/qrf6f5TtZe

@chiragjp 5 years ago

A brilliant perspective in the era of #BigData and push-button #MachineLearning in biomedicine: opportunities for multiplicity of "biomarkup" and challenges they pose in medical decisions. From powerhouses at @Bos_CHIP @mandl and @arjunmanrai: https://jamanetwork.com/journals/jama/article-abstract/2724793

@EffyVayena 5 years ago

Check out new papers on #MachineLearning in #medicine and #healthcare including ⁦our perspective with ⁦@CohenProf⁩ @a_blasimme “Machine learning in medicine: Addressing ethical challenges” ⁦@PLOSMedicine⁩ ⁦@ETH_en⁩ ⁦⁦ #aiethics https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1002689

@GlockerBen 5 years ago

"How to successfully apply #MachineLearning in #MedicalImaging" My ECR 2018 talks discussing some challenges and successes are now available. Talk 1: https://youtu.be/R1xF4q-aw2Q Talk 2: https://youtu.be/_74_292I-5s @BioMedIAICL @ICComputing

@gp_pulipaka 6 years ago

Three Challenges for #AI in Medicine. #BigData #DeepLearning #MachineLearning #DataScience #HealthTechhttp://buff.ly/2uap6Tj https://t.co/XtGX2fJmjk

@sandimschuh 6 years ago

Three Challenges for Artificial Intelligence in Medicine http://buff.ly/2qM4Oie#SmartMed #AI #MachineLearning… https://twitter.com/i/web/status/864457986818932736

@simonmd 7 years ago

There are several challenges in medical imaging #MachineLearning already. A sample here: https://grand-challenge.org/all_challenges #cmimi #ai