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
👏1