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Educational·10 episodes total

AI Medical── How AI moves in the medical and pharma field — implementations and unusual applications, in 10 episodes

Medical AI is no longer just about image diagnosis. Finding causation from Real World Evidence, pre-simulating reactions through KOL virtual personas, learning without moving data via Federated Learning ── this series covers, in 10 episodes, how AI actually moves in the medical and pharmaceutical field, including implementations not yet in textbooks.

The landscape
01

Where Medical AI Stands Today

Imaging, documents, data, robotics ── drawing a map of medical AI where each domain progresses at a different pace. The frontier of regulation and implementation.
Overview
In preparation
02

Real World Evidence × AI

EHRs, claims data, wearables ── how to use AI to draw "causal inference" from real-world data. The technique that changes the quality of observational research.
Overview
In preparation
Implementation — unusual applications
03

KOL Persona Generation — Virtual Reaction Simulation

Build a persona model from a key physician's talks, papers, and SNS posts, then simulate "advance reactions" to new messages. A new at-bat to take before the real advisory board meeting.
Applied
In preparation
04

AI Support for Clinical Trials

Synthetic Control Arm, predictive enrollment, patient recruitment optimization ── AI applications that structurally change the cost and time of clinical trials.
Applied
In preparation
05

AI Drafting of Clinical Trial Documents

Protocol, ICF, CSR ── the era when AI drafts clinical trial documents. What to delegate, what humans must medically review.
Applied
In preparation
06

Medical Affairs × AI

Support for MSL (Medical Science Liaison) work, HCP question handling, efficient insight gathering. AI use in the department that connects sales and research.
Applied
In preparation
07

Medical Insights Deep Dive — Cross-Analyzing Papers, Conferences, SNS with AI

KOL talks, latest papers, conference sessions, physician SNS ── using AI to cross-analyze, summarize, and connect scattered sources to extract insights not yet public.
Applied
In preparation
Data, imaging, regulation
08

Federated Learning — Training Without Moving Data

A mechanism to train AI models without taking data outside the hospital. The practical solution for running AI under PHI regulations.
Infra
In preparation
09

Medical Imaging AI

Diagnostic image AI is a flagship application, but the walls to clinical deployment are many. The realities of performance evaluation, liability boundaries, clinician workflow integration.
Infra
In preparation
10

Medical AI Regulation — FDA / PMDA / EU MDR

Who approves AI-equipped medical-device software (SaMD)? The latest from three major regulators and strategy for global deployment.
Infra
In preparation

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