Medical AIThe most reliable medical AI, ever.
Ask any medical question and get instant, precise, in-depth answers drawn straight from up-to-date guidelines and clinical research, with a citation behind every claim that you can open and verify.
A real answer, with the citations it rests on.
A sample question on co-prescribing, composed with the same rules the app uses: a synthesized reply with its citations rendered inline, the way you would see them in a real session.
Drug interaction profile
Metformin and lisinopril are co-prescribed routinely in patients with type 2 diabetes and hypertension. The clinically meaningful interaction is hemodynamic, not pharmacokinetic - additive risk of acute kidney injury when intercurrent illness or volume depletion is layered on top.[1]
Mechanism
Lisinopril reduces glomerular filtration pressure; metformin is cleared renally. A drop in eGFR therefore raises metformin exposure, increasing lactic-acidosis risk in the presence of hypoperfusion.[2]
Monitoring
Check eGFR within 1–2 weeks of starting or up-titrating either drug; hold both during acute illness with volume loss. Dose-reduce metformin when eGFR is 30–45 mL/min and discontinue below 30.[3]
Three steps. Nothing performed for the room.
State the clinical question.
Type it the way you'd ask a colleague - long-form, specific, with the patient's relevant context.
Sources are pulled, not invented.
The system retrieves from peer-reviewed journals, society guidelines, FDA labels, and indexed clinical references before composing a reply.
Every claim is traceable.
Citations sit inside the answer, not under it. Tap any one to open the source. Disagree with anything? The page is right there.
Where the citations come from.
A non-exhaustive index of the source types Medical AI consults when composing an answer. Each citation in a response carries the source name, publication year, and the evidence grade where one is available.
Why not just ChatGPT?
Generates fluent text from memory. It will invent a citation as readily as a fact, and it cannot reach the journals and guidelines that sit behind paywalls.
Retrieves first - from peer-reviewed research, society guidelines, and FDA labels - then composes an answer where every claim links to the page it came from. You read the source, not a paraphrase. When the evidence is thin, it says so.
Two moments in a working day.
The 60-second look-up.
A finding you don't recognize on a chart. An interaction warning the EMR flagged but didn't explain. A pediatric dose you want to triple-check. Open Medical AI, ask, scan, judge. Three citations and you're back in the room.
The long, considered pull.
A complex presentation that needs a literature scan. An off-label decision you want to defend in the chart. A new guideline you want to read through the lens of your patient. The system stays in the conversation as you narrow the question.
Medical AI does not perform empathy. It does not say "great question". It does not celebrate. It looks up - across thousands of sources - and shows you the page it found.
What doctors and students say.
4.7★ across 1,176 App Store ratings.
"Very efficient and precise. User friendly, convenient, useful to get all the guidelines, protocols and management."
"A very reliable app and a wonderful companion during rounds."
"Best for doctors and medical students."
"Everything based on clinical guidelines - you put your clinical question and it answers with the latest guidance. Recommended."
"The reviews have been great. I'm seeing why the hype."
"Makes medical information easy to understand and quick to access. Like a smart assistant that actually listens."
The questions people ask first.
How is this different from ChatGPT or Gemini?
General chatbots generate text from memory and can fabricate citations. Medical AI retrieves from peer-reviewed research, society guidelines, and FDA labels first, then cites the exact source for each claim so you can verify it yourself. In practice that means far fewer hallucinations on clinical questions.
Can I try it before paying?
Yes. You can ask questions free every day, no card required, to judge the quality of the answers and their citations before deciding on Pro.
Is Medical AI a substitute for clinical judgment?
No. It is a reference. Every answer is intended to be read alongside its citations and judged by you. Where the evidence is conflicting or limited, the answer will say so, in proportion.
How current are the sources?
Drug labels and society guidelines are refreshed continuously from primary sources (DailyMed, NICE, USPSTF, KDIGO, AHA, IDSA, and others). The research corpus is indexed and updated; each citation shows the publication year so you can judge currency at a glance.
What happens to my queries? Are they used to train?
Your conversation history is yours. We do not train models on user chats. Account-bound history is encrypted at rest and removed on request.
I subscribed on iOS. Do I need to pay again on the web?
No. iOS Pro subscribers get web access automatically - sign in with the same account. Entitlements are linked at the account level, not the platform level.
Is this regulated as a medical device?
Medical AI is an information-retrieval and summarization tool intended for use by licensed clinicians; it is not a diagnostic device. We follow the FDA's guidance on clinical decision support software and do not provide specific patient-level recommendations.
Who builds this?
A small team of clinicians and engineers. The product is used by the team's clinical advisors daily; design decisions go through them before they ship.
Curated answers to questions doctors search the most.
SGLT2 inhibitors in HFmrEF and HFpEF.
What EMPEROR-Preserved and DELIVER established, with HFmrEF/HFpEF definitions kept separate from trial entry criteria.
Perioperative management of DOACs.
When to hold apixaban, rivaroxaban, and dabigatran before elective surgery, by bleeding risk and renal function.
Vancomycin: AUC-guided dosing.
Why AUC/MIC monitoring has largely replaced trough-only targets, and how to estimate the area under the curve at the bedside.
Tranexamic acid in major trauma.
What CRASH-2 and CRASH-3 established about treatment timing, and where the early mortality benefit concentrates.
Open a question. Read the answer.
Medical AI returns evidence-grounded answers backed by real citations. It is a reference tool, and these terms describe how it should and should not be used.
01 Educational purpose
Medical AI is an information and reference tool intended for educational use only. The answers it returns are not medical advice, diagnosis, or treatment. Always consult a qualified doctor or healthcare professional with any question concerning a medical condition.
02 Professional use
Medical AI is designed for use by practicing clinicians. It is not intended for direct patient use and is not a substitute for professional clinical judgment. Apply your own training and current guidelines to every decision an answer informs.
03 Privacy and data
We do not collect, store, or process personally identifiable patient information (PHI or PII). Do not enter names, dates of birth, medical record numbers, or any other patient identifiers into the composer.
04 Information currency
Medical knowledge evolves rapidly. Citations carry their publication date, so consult the primary source and the most recent clinical guideline before acting on anything material.