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@SPIEtweets 10 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
@TysonLester 1 year ago
Via @MedicalExpoEMag: "Trust & #ArtificialIntelligence in Healthcare." http://emag.medicalexpo.com/trust-and-artificial-intelligence-in-healthcare/ 3 different categories of trust: -Technical trust -Human trust -Regulatory trust #AI— poised to change #healthcare in monumental ways. #BigData #IoT #InternetOfThings #MachineLearning
@TysonLester 1 year ago
Via @MedicalExpoEMag: "Trust & #ArtificialIntelligence in Healthcare." http://emag.medicalexpo.com/trust-and-artificial-intelligence-in-healthcare/ 3 different categories of trust: -Technical trust -Human trust -Regulatory trust #AI— poised to change #healthcare in monumental ways. #BigData #IoT #InternetOfThings #MachineLearning
@TysonLester 2 years ago
Via @MedicalExpoEMag: "Trust and #ArtificialIntelligence in Healthcare." http://emag.medicalexpo.com/trust-and-artificial-intelligence-in-healthcare/ 3 different categories of trust to be addressed: -Technical trust -Human trust -Regulatory trust #AI is poised to change #healthcare in monumental ways. #BigData #MachineLearning
@TysonLester 3 years ago
Via @MedicalExpoEMag: "Trust and #ArtificialIntelligence in Healthcare." http://emag.medicalexpo.com/trust-and-artificial-intelligence-in-healthcare/ 3 different categories of trust to be addressed: -Technical trust -Human trust -Regulatory trust #AI is poised to change #healthcare in monumental ways. #BigData #MachineLearning
@ndorms 3 years ago
Did you see this? A review of public comments on a proposed FDA regulatory framework for modifications to #AI and #machinelearning based software as a medical device has found that 63% came from parties with financial ties to industry. http://ow.ly/hAWE50C5cIu https://t.co/aFTQHYcLAh
@curtlanglotz 5 years ago
For those interested in applications of AI/machine learning (ML) to precision medicine, drug development and regulatory science, check out the new @StanfordMed @UCSF @fdacder #machinelearning fellowship. cc @Radiology_AI #RSNA18 https://www.zintellect.com/Opportunity/Details/FDA-CDER-2019-0355