Most #ML and #AI solutions are developed for general purposes. Therefore, #MLHS would like to share insights from the recent #WebAISummit highlighting our top four tools with potential applications in #MedicalResearch:
🔹Client-Side #DepthEstimation: this tool warrants research to enhance interpretation in 2D #Medicalimaging. Example of such conversion in the attached medical image
🔹Optimizing Web AI Performance with Chrome's Built-In APIs: this advancement translates to more efficient and responsive tools for research.
🔹Applying #BodyPoseEstimation for #Physiotherapy: this approach warrants head-to-head comparisons and further research.
🔹#SimpleML for #GoogleSheets: this add-on enables to perform #MLprediction tasks without extensive coding knowledge.
Many thanks to the #WebAI community for their valuable contributions to future-specific research.
Access the entire session here: https://www.youtube.com/playlist?list=PLNYkxOF6rcIAEVKJ98bDkQRkwvO4grhnt
🔹Client-Side #DepthEstimation: this tool warrants research to enhance interpretation in 2D #Medicalimaging. Example of such conversion in the attached medical image
🔹Optimizing Web AI Performance with Chrome's Built-In APIs: this advancement translates to more efficient and responsive tools for research.
🔹Applying #BodyPoseEstimation for #Physiotherapy: this approach warrants head-to-head comparisons and further research.
🔹#SimpleML for #GoogleSheets: this add-on enables to perform #MLprediction tasks without extensive coding knowledge.
Many thanks to the #WebAI community for their valuable contributions to future-specific research.
Access the entire session here: https://www.youtube.com/playlist?list=PLNYkxOF6rcIAEVKJ98bDkQRkwvO4grhnt
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Introducing latest #MLHS prototype: a #WebAI-controlled in the browser #bionichand, built on the #ESP32 and #proximity sensing, fully adaptable to muscle contractions.
More updates, presale, technical breakdowns coming soon.
Follow for the future of bionics for everyone!
More updates, presale, technical breakdowns coming soon.
Follow for the future of bionics for everyone!
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New MLHS app: ⓇⒺⓉⓇⒶⒸⓉ — trained on real retracted papers.
Screen your paper’s retraction risk (text-pattern signal):
mlhs.ink/retract
Try your own abstract and share your score.
#MLHS #ResearchIntegrity #NLP #BERT #Cardiology
Screen your paper’s retraction risk (text-pattern signal):
mlhs.ink/retract
Try your own abstract and share your score.
#MLHS #ResearchIntegrity #NLP #BERT #Cardiology
The deeper we audit the literature while building ☸️SAIMSARA, the clearer one simple truth becomes: journal prestige is a poor proxy for evidentiary integrity. High-impact platforms provide visibility, speed, and citations, but they do not reliably protect against duplicate publications, abstract inflation, recycled datasets, or the artificial expansion of the evidence base.
That is why the future should not belong to blind trust in journal labels, but to systems that can inspect the actual architecture of evidence: what is truly independent, what is only a preliminary abstract, what is duplicated, and what merely creates the illusion of scientific weight.
#SAIMSARA #MLHS #EvidenceMapping #ScopingReview #MedicalResearch #ScientificIntegrity #ResearchAudit #EvidenceBasedMedicine #AcademicPublishing #MetaResearch #DigitalHealth #MachineGeneratedScience #ReferenceCheck #LiteratureReview #OpenScience
That is why the future should not belong to blind trust in journal labels, but to systems that can inspect the actual architecture of evidence: what is truly independent, what is only a preliminary abstract, what is duplicated, and what merely creates the illusion of scientific weight.
#SAIMSARA #MLHS #EvidenceMapping #ScopingReview #MedicalResearch #ScientificIntegrity #ResearchAudit #EvidenceBasedMedicine #AcademicPublishing #MetaResearch #DigitalHealth #MachineGeneratedScience #ReferenceCheck #LiteratureReview #OpenScience