Clinical ECG education, ACLS insights, and rhythm interpretation for medical students, nurses, paramedics, and physicians.
From the rule-based algorithms of the 1950s to modern deep learning, here is how artificial intelligence actually interprets an ECG — what it does well, and where a clinician still has to look.
Read articleEpinephrine, amiodarone, atropine, adenosine and the rest — what each ACLS medication does, when it belongs in the algorithm, and the doses to have memorized.
Read articleSix rhythms account for nearly every rhythm-related death you will witness. Learn to spot each one in seconds — and know whether the answer is a shock, a pace, or a search for a reversible cause.
Read articleFrom normal sinus rhythm to life-threatening VF, these are the rhythms every nurse must identify instantly. Master them before you step onto the floor.
Read articleTime is myocardium. Learn the lead groupings, morphology patterns, and STEMI mimics that separate a call to the cath lab from a potential misdiagnosis.
Read articleMisdiagnosing VT as SVT is one of the most common — and dangerous — errors in emergency medicine. The Brugada algorithm gives you a structured 4-step path to the right answer.
Read articleAmbient scribes, imaging triage, risk prediction, patient-facing chatbots — a grounded tour of where AI is genuinely useful in clinical practice, and the failure modes every clinician should watch for.
Read articleTraditional ACLS drills test memorization. MEGA CODES test judgment. Here is why consequence-driven simulations produce better resuscitation teams.
Read articleThree ways to calculate heart rate — with tradeoffs every clinician should know. Master the 6-second method, the 300 rule, and the exact calculation.
Read articleCardioLens brings AI-powered ECG analysis to your phone. Free to download on iOS and Android.