CLEAR Series

Clinical AI explained with no jargon, no coding.

A continuous educational series translating AI concepts into clinical analogies doctors, residents and healthcare teams can retain. Read the whole series inside the website.

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CLEAR Series 1

YOLO - From Intern to Imaging Expert

The opening CLEAR Series article introduces YOLO through a clinical learning curve: from fast but immature intern to experienced imaging expert.

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CLEAR Series 2

SSD vs. R-CNN - The Generalist and the Subspecialist

CLEAR Series 2 explains SSD and R-CNN using the clinical analogy of a fast generalist and a meticulous subspecialist.

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CLEAR Series 3

Tokenization and Word Embedding

CLEAR Series 3 explains tokenization and word embeddings using discharge summaries, referral notes and clinical concept maps.

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CLEAR Series 4

Discriminative, Generative and Reasoning Models

CLEAR Series 4 explains discriminative, generative and reasoning models through diagnosis, report writing and morning rounds.

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CLEAR Series 5

Metrics That Matter

CLEAR Series 5 explains model drift in medical AI as a clinical safety issue that needs audits, revalidation and recalibration.

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CLEAR Series 6

Metrics That Matter - Clinical Analogy Guide

CLEAR Series 6 expands the clinical analogy guide to LLM evaluation metrics and why doctors should care.

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CLEAR Series 7

Tumor Board vs Secure Referral System

CLEAR Series 7 explains ensembles and Model Context Protocol through tumor boards and secure specialist referrals.

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CLEAR Series 8

OPD to GPT: Decoding Transformers, the Doctor’s Way

CLEAR Series 8 explains transformers and attention using the analogy of an Indian OPD and postgraduate clinical reasoning.

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