The Physician Garage (TPG)

Excited to be involved with this brain child of Vineet Tiruvadi (@vineettiruvadi) who has seen this opportunity to synthesize the worlds of engineering and clinical medicine in quite a unique way by trying to formalize clinical reasoning through the use of statistical inference. I believe thinking about clinical reasoning through this lens will be transformative for many reasons but particularly with the creation of artificially intelligent systems in medicine. These discussions are also available on Spotify.

January 12, 2021

Part 2 - Hands on with Bayes

In the Jan 2021 episode of TPG, we continue talking about Bayes Theorem in patient care.

We talk a bit more about how Bayes Theorem and Bayesian Inference are used in “Don’t Drop the Anchor” by Manesh et al.

Work along with us in our Colab notebook. This gives us a chance to tinker with how Bayes Theorem transforms prior information into posteriors that can help you make better decisions in uncertainty.

This wraps up our first “Rounding with Dr. Bayes” case from Part 1. Let us know what you think and what we should do next!

November 30, 2020

In the November 2020 episode of TPG we discuss Bayesian inference in patient care.

Anchoring our discussion in a clinical paper by Manesh et al. “Don’t Drop the Anchor” we focus on how the cost of decisions can affect our ultimate diagnostic and management, and how Bayes Theorem and Bayesian Inference are separate things.

August 19, 2020

Vineet, Bilal Bari (@bari_bilal), and I discuss the basics of inference within a clinical framework.

May 17, 2020

First time Vineet and I touched base and discussed our experiences in clinical medicine as engineers.

May 10, 2020

The first in a series of discussions at the intersection of medicine, engineering, machine learning. Featuring Bilal Bari (MD/PhD at Johns Hopkins) and Vineet Tiruvadi (MD/PhD at Emory/GeorgiaTech). Here we talk a bit about how our engineering backgrounds helped (or hurt) our early medical school training, how math can unify different ideas beautifully, some of the neuroscience underlying anxiety, and a loose constellation of thoughts.

John-William Sidhom
John-William Sidhom
Internal Medicine Resident, PGY-2

Aspiring Physician-Scientist & Oncologist.