Ali Araghi, MD

Exploring Clinical Medicine Through Pathophysiology, Evidence & Education

A physician-educator’s collection of clinical insights, lectures, reviews, illustrations, and teaching resources in pulmonary, critical care, sleep, obesity, and internal medicine.

Medical books and clinical desk for medical education

Areas of Focus

Five clinical disciplines connected by physiology, pathophysiology, evidence, and bedside reasoning.

Pulmonary Medicine

Respiratory physiology, PFT, CPET, pulmonary disease and procedures.

Critical Care

Mechanical ventilation, shock, hemodynamics, ultrasound and ICU physiology.

Sleep Medicine

Sleep physiology, OSA, PAP therapy, insomnia, circadian disorders and testing.

Obesity Medicine

Metabolism, pharmacotherapy, nutrition, exercise, sleep and behavioral science.

Internal Medicine

Diagnostic reasoning, common medical problems, clinical decision-making and teaching.

Pulmonary

Critical Care

Sleep

Obesity

Internal Medicine

Pulmonary

Critical Care

Sleep

Obesity

Internal Medicine

Watch video teaching on YouTube →

Teaching Philosophy

Learn deeply. Stay curious. Follow the evidence.

This website is built around the idea that durable medical knowledge comes from understanding, not memorization. The goal is to ask why a disease behaves the way it does, how physiology becomes pathophysiology, and how those mechanisms explain the findings we see at the bedside. Curiosity is treated as a clinical skill: the habit of questioning assumptions, exploring alternatives, and looking beneath labels for the mechanisms that make a patient’s presentation coherent.

Evidence matters because intuition alone is not enough. Good clinical reasoning requires moving between mechanism and data—building a problem representation, estimating probabilities, testing competing explanations, and changing course when new evidence no longer fits the original hypothesis. The aim of the material here is therefore not simply to provide answers, but to strengthen the reasoning process that produces better questions, better interpretations, and better decisions.

Artificial intelligence can be a powerful tutor and research partner. Used wisely, it can help explain difficult concepts, generate alternative hypotheses, summarize literature, and accelerate exploration of the evidence. But it should augment—not replace—critical thinking. Clinical judgment remains the clinician’s responsibility: verify important claims, return to primary sources when decisions matter, recognize uncertainty, and never surrender reasoning or decision-making to an algorithm.