Welcome to Jibramed.
We believe clinical AI should be built on evidence—not assumptions.
Here we share:
• Clinical questions
• Guideline updates
• Landmark trials
• Medical AI
• Patient pathways
• Healthcare innovation
Built in Saudi Arabia 🇸🇦
Another benchmark for JibraMed.
We don’t measure success by getting the correct option alone—we measure how well the system explains why it’s correct.
result:
✅ Pseudomonas aeruginosa
Every clinician review helps us improve the quality of our reasoning and evidence.
#BuildInPublic #HealthTech #MedicalAI #JibraMed
We tested the same question using the JibraMed Framework.
Diagnosis: Cardiac Tamponade.
We’re actively improving our Evidence Layer to deliver stronger guideline-based explanations and more precise literature retrieval.
We’d really value your feedback from a clinical perspective.
@ajlkfad2333
#JibraMed #MedicalAI #ClinicalDecisionSupport #EvidenceBasedMedicine
@Chiragrx07 Thanks for your response, we also provide clinical evidence from multi sources to support clinical decisions and answers for the same question.
Question of the Day
🧠A 26-year-old male with Type 2 diabetes has elevated HbA1c, fasting glucose, and dyslipidemia.Which treatment has the strongest published evidence for improving both glycemic control and lipid profile?
Today Jibramed searched the literature, ranked the evidence, and compared medications with lifestyle interventions.
The highest-ranked evidence favored modern GLP-1–based therapies, while structured lifestyle interventions remained among the strongest non-pharmacologic options.
Evidence isn't just about finding papers—it's about finding the right papers.#Jibramed #MedicalAI #EvidenceBasedMedicine #Diabetes #HealthcareAI
🧠 Jibramed Evidence Challenge #2
That’s exactly the problem we’re trying to solve with Jibramed Evidence Layer.
Instead of switching between multiple resources, ask your question in plain language (or even a clinical scenario) and get:
• Clinical Guidelines
• Evidence summaries
• Medication information
You can also upload your own books, notes, PDFs, or hospital protocols into your personal knowledge base and ask questions directly from your own content.
🩺 Question of the Day
What published evidence describes the baseline laboratory evaluation and cardiometabolic risk assessment for adults with newly diagnosed Type 2 diabetes mellitus?
Today, we tested this question using the Jibramed Evidence Layer.
The system retrieved 15 publications and ranked them by clinical relevance.
Overall retrieval assessment: 6.7 / 10
Key insight:
The evidence retrieved was useful mainly as supporting/background evidence, not as a direct baseline workup answer.
Why this matters:
Clinical AI should not only retrieve papers — it should understand the intent of the question, distinguish direct evidence from background evidence, and show where the evidence is weak.
This is how we are improving Jibramed:
Evidence retrieved. Evidence ranked. Evidence limitations exposed.
#EvidenceBasedMedicine #ClinicalAI #Type2Diabetes #DigitalHealth #MedicalAI #HealthcareInnovation #Jibramed
🩺 Jibramed Evidence Review
Question of the Day
What is the current evidence on the use of canagliflozin, insulin aspart, and saxagliptin in the management of Type 2 diabetes mellitus in a 53-year-old male patient?
Overall Evidence Retrieval Score
9.2 / 10