Challenges of Building AI Tools in Healthcare

Update: 2024-12-10

Description

We discuss the challenge of building AI applications targeted to the healthcare industry. From developing a platform to commercializing, we discuss challenges including data collection, patient privacy, providing a unique value proposition and getting widespread adoption.

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In Channel

Bridging patients and platforms - Google

2025-08-2651:57

Transforming MRI from art to science with AI - Vista AI

2025-07-2258:00

Powering global health with AI - Microsoft

2025-07-0701:04:06

Democratizing complex surgeries with AI-powered surgical superpowers - Andromeda Surgical

2025-06-0447:46

Finding light in darkness with a trusted guide on your health journey - Roon

2025-05-0737:06

Redesigning clinical workflows with Voice AI - Suki

2025-04-1659:00

Building a guardian angel for physicians - Vera Health

2025-04-0355:07

Bridging the gap to medical knowledge - OpenEvidence

2025-03-0655:52

Creating the most widely used clinical reference - MDCalc and Offcall

2025-02-1701:01:35

Addressing the limitations of the human brain in medical practice - Glass Health

2025-01-1359:59

Automating Eye Screening to Prevent Blindness - EyeCheq

2024-12-3042:18

Building an AI-Powered Clinical Copilot - Avo

2024-12-1654:31

Automating Medical Documentation and Billing - Knowtex

2024-12-1051:31

Challenges of Building AI Tools in Healthcare

2024-12-1035:39

Intro & Industry Overview

2024-12-1028:52

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Challenges of Building AI Tools in Healthcare

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Challenges of Building AI Tools in Healthcare

Arvind and Pranav

Challenges of Building AI Tools in Healthcare