Medical Technology

Current search: systems unset machinelearning

@S_LeClainche 12 months ago

Interested in #MachineLearning and #DataScience? ModelFLOWs-app is our #opensource #Software where you can find #Python codes for different #applications (fluid dynamics, non-linear systems, #Engineering, #medicine,...). Download in: https://modelflows.github.io/modelflowsapp/

@birlasoft 1 year ago

With AI disrupting the medical device industry, AI-infused systems and technologies are driving a slew of beneficial changes in disseminating therapeutic benefits to those in need. https://bit.ly/3PZndRn #AI #DataScience #MachineLearning #InternetOfThings #CloudComputing https://t.co/7R7rCiXMXe

@TysonLester 1 year ago

Via @HealthTechMag: "Healthcare Systems: Make #Cybersecurity a Top Priority." https://healthtechmagazine.net/article/2021/11/why-healthcare-systems-need-make-cybersecurity-top-priority "Average hospital rooms contain 15-20 connected medical devices." Sensitive patient data is of paramount importance. #FinTech #HIPAA #AI #MachineLearning #IoT #HR #InsurTech

@PfeiferLab 1 year ago

Nico is now a full member of @MPI_IS's International Max Planck Research School for Intelligent Systems (IMPRS-IS) Faculty! #MedicalInformatics #MachineLearning https://imprs.is.mpg.de/faculty

@CbirtDirector 2 years ago

A Systems Genomics Approach to Identify Hidden Genetic Connections for Precision Medicine https://cbirt.net/2022/05/04/a-systems-genomics-approach-to-identify-hidden-genetic-connections-for-precision-medicine/ via @CbirtDirector #Bioinformatics #medtech #100DaysOfCode #AcademicTwitter #edtech #AI #MachineLearning #code #Algorithms #IBD #SNP #Genomics

@TysonLester 2 years ago

Via @HealthTechMag: "Healthcare Systems Need to Make #Cybersecurity a Top Priority." https://healthtechmagazine.net/article/2021/11/why-healthcare-systems-need-make-cybersecurity-top-priority "The average hospital room contains 15 to 20 connected medical devices." #PHI and sensitive patient data are of significant importance. #HIPAA #AI #MachineLearning #IoT

@TysonLester 2 years ago

Via @HealthTechMag: "Healthcare Systems Need to Make #Cybersecurity a Top Priority." https://healthtechmagazine.net/article/2021/11/why-healthcare-systems-need-make-cybersecurity-top-priority "The average hospital room contains 15 to 20 connected medical devices." #PHI & sensitive patient data are of paramount importance. #HIPAA #AI #MachineLearning #IoT

@Cyber_Valley 2 years ago

Improving the fundamentals of #MachineLearning, but also establishing guidelines for #certification of such #AI systems, thereby enabling safe use in #medicine. Learn more about the new #research project, funded by @CZ_Stiftung: https://cyber-valley.de/en/news/sichere-ki-systeme-und-deren-zertifizierung-im-gesundheitsbereich @uni_tue @ml4science

@sonu_monika 2 years ago

AI Improves Electronic Health Record (EHR) Systems | Psychology Today https://www.psychologytoday.com/us/blog/the-future-brain/202110/ai-improves-electronic-health-record-ehr-systems #healthcare #AI #MachineLearning #Analytics #BigData #DataScience #Linux #Serverless #IoT #flutter #EmergingTech #NLP #EHR #EMR #Medical #DigitalHealth #patient #health @sonu_monika

@nadaloglou 2 years ago

Understanding coordinate systems and #DICOM for #deeplearning #medical image analysis Link: https://theaisummer.com/medical-image-coordinates/ #MachineLearning #ai #ct #mri @dcmsys @theaisummer #3d

@moorejh 3 years ago

The labels attached to images used to train machine-vision systems are often wrong. That could mean bad decisions by self-driving cars and medical algorithms. https://www.wired.com/story/foundations-ai-riddled-errors/ #machinelearning #datascience #deeplearning

@gentackle 3 years ago

MIT’s new “liquid” #NeuralNetwork could improve decision-making in #selfdrivingcars and medical diagnosis The algorithm adjusts to changes experienced by real-world systems by changing their underlying equations as they receive new #data #MachineLearning https://thenextweb.com/neural/2021/01/29/mits-new-liquid-neural-network-learns-on-the-job-so-robots-can-adapt-to-changing-conditions/

@yourICM 3 years ago

5 key principles that should be remembered for smart use of #ArtificialIntelligence as adoption of #MachineLearning systems becomes more widespread in medical imaging: ➡️knowledge base ➡️metrics ➡️bias ➡️model fragility ➡️error-prone behavior #DataScience https://rdcu.be/cdI0d https://t.co/OvNVtwfl94

@SynBioBeta 3 years ago

Researchers at the University of Pittsburgh School of Medicine have combined #syntheticbiology with a #machinelearning algorithm to create human liver organoids with blood- and bile-handling systems. https://bit.ly/36SDl2h #synbio

@Radiology_AI 3 years ago

Check out the blog post: "Combatting #Bias in Medical #AI Systems" https://pubs.rsna.org/page/ai/blog/2020/7/ryai_editorsblog0715 @cekahn @PennRadiology #RadAI #ML #MachineLearning https://t.co/htL02Kupck

@Radiology_AI 3 years ago

@KirkDBorne 3 years ago

.@DeptVetAffairs tests #AI ‘to-go’ delivery model to assist its medical centers during #pandemic — using embeddable AI modules that efficiently integrate across different systems: https://dy.si/5oTQh —— #HealthTech #BigData #DataScience #MachineLearning #DigitalTransformation https://t.co/shzIeiS0ep

@ComputerSociety 4 years ago

#MachineLearning systems identify patterns that are beyond human perception. #LearnFromHome with Amlan Chakrabarti as he explores how these systems are involved in medical image analysis. Register Here: https://bit.ly/2WpETLW #OnlineLearning #DigitalLearning #Webinars #Tech https://t.co/PSapLat6xp

@EdKwedar 4 years ago

Understanding Adversarial Attacks on #MachineLearning Based Medical Image Analysis Systems #BigData #Analytics #DataScience #AI #IoT #IIoT #PyTorch #Python #RStats #JavaScript #ReactJS #Serverless #Linux #Programming #Coding #HealthTech via @gp_pulipaka | https://buff.ly/2VUFXr0 https://t.co/NjlFgVxF3U

@gp_pulipaka 4 years ago

Understanding Adversarial Attacks on #MachineLearning Based Medical Image Analysis Systems. #BigData #Analytics #DataScience #AI #IoT #IIoT #PyTorch #Python #RStats #JavaScript #ReactJS #Serverless #Linux #Programming #Coding #100DaysofCode #HealthTech https://www.sciencedirect.com/science/article/abs/pii/S0031320320301357 https://t.co/37pfxWe3b3

@GnyHighlights 4 years ago

Essential #ArtificialIntelligence & #MachineLearning terms. Real-Time Health Systems (RTHS): Proactive & collaborative #healthcare delivery systems allowing quick decision making. #AI & #ML sensing & responding to the needs of the patients & #MedicalStaff https://bit.ly/3d4Q8Qr

@marcusborba 4 years ago

89% of #healthcare execs say #AI already is creating efficiencies in their #health systems, according KPMG’s new study https://bit.ly/2OXbBQD @SiwickiHealthIT @HealthcareITNew #ArtificialIntelligence #DigitalTransformation #MachineLearning #Innovation #HealthTech #Medicine https://t.co/CNc2NUiEBk

@ProsumerSoft 4 years ago

#MachineLearning based #Medical Information Retrieval Systems ✔️#ArtificialIntelligence ✔️#CognitiveComputing ⚕️ #HealthIT ⚕️ #HealthTech ⚕️ #MedTech ⚕️ #mHealth ⚕️ #Medical #Analytics ⚕️ #Clinical #Informatics ️https://thescholarship.ecu.edu/bitstream/handle/10342/7256/GUDIVADA-MASTERSTHESIS-2019.pdf?sequence=1&isAllowed=y @ProsumerSoft @HubBucket @HubAccess https://t.co/NKNllC86nV

@atulbutte 4 years ago

The @US_FDA has approved nearly 40 #AI or #machinelearning systems for medicine in since 2014!! http://bit.ly/2mQm2dz HT The Medical Futurist @Berci #NAMmtg https://t.co/Qj2ey75kak

@HattieMintz 4 years ago

Very interesting #machinelearning session #ESMO19. Important talk on #AI in medical oncology @rsnfehrmann -‘accuracy does not imply clinical relevance’ #AIchasm. ‘Future is hybrid intelligence, where AI systems and humans collaborate’ Yes! https://t.co/7Hp1T7I4yF