Academic paper vs. ML model: Past vs. Future. Feed publishers vs. enhance human wellbeing. Discuss this with your preferred AI agent. The choice is obvious. #AI #MachineLearning #AcademicPublishing #FutureTech

📢 New Editorial Released!
Read it and participate in our 📊 poll:

#AI #AcademicWriting #Science3 #DeSci #Web3Publishing

https://doi.org/10.62487/6edvq792

🎉 Exciting News! 🎉

We are very proud that our latest healthcare #WebAI model has been recognized and featured in the latest issue of the Web AI Monthly Newsletter by Jason Mayes and #Google .

This milestone underscores our commitment to leveraging client side AI technology to advance medical research and patient care.

Join us to ✍️ write and 🖥️ develop the next chapter of medical research together!

#AI #WebAI #HealthcareInnovation #MedicalResearch #TechnologyForGood

https://www.linkedin.com/newsletters/web-ai-monthly-6895540524061736960

💡Exciting Announcement!

We are proud to introduce our next healthcare #WebAI application: Varicose Veins AI Consultant! 🩺

🧠 This custom hybrid AI is powered by a #Tensorflow.js neural network, enhanced with #Gemini Flash and #Deepseek.

🔍 What does it do?
✅ Provides individual risk estimation for developing varicose veins over a lifetime 🏥
✅ Delivers up-to-date insights on diagnosis, treatment, and prevention of the disease 📊💊
✅ Supports patients and healthcare professionals with the latest scientific knowledge 🔬📚

🌐 Try it out now! 👉

#AI #HealthTech #MedTech #MachineLearning #VaricoseVeins #MedicalAI


https://mlhs.ink/varicose/

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

☸️ SAIMSARA — AI for Medical Research
🔍 Delivers more than just Google links
💬 Provides stronger evidence than ChatGPT’s unsystematic data
📚 Utilises proven biomedical libraries with 50M+ abstracts and papers
⏱️ 1 minute of SAIMSARA = 5 hours of human evidence extraction
💡 €99/year vs. 💸 €100k/year for human-based research
✅ No fatigue
✅ No bias
✅ No missed data

👉 Start here: mlhs.ink/saimsara


#AI #HealthcareAI #MedTech #DigitalHealth #SystematicReview #EvidenceBased

Not every LLM is best for every task.

At SAIMSARA, one scientific review is built through a multi-model pipeline, where each model is chosen for what it does best.

Gemini Flash-Lite helps us with fast first-pass filtering and scientific session building.
Grok supports evidence mapping and direction-based vote counting.
ChatGPT and Gemini Pro help analyze the session and turn selected evidence into the backbone of the paper.
Claude handles deep finalization, limitations, and conclusion writing.

One review. Four LLMs. One evidence-driven workflow:
https://youtu.be/gteBO4GLBQM

#SAIMSARA #LLM #AI #ScientificResearch #EvidenceBasedMedicine #MachineGeneratedScience #ChatGPT #Gemini #Grok #Claude #AIinScience #DigitalHealth