Browsing Category
AI Health Barriers
7 posts
Lack of transparency in AI research limits reproducibility, renders work ‘worthless’
institute for health transformation (IHT) research, strategy and advisory Joaquim Cardoso MScSenior Advisor, Chief Researcher and EditorJanuary 18, 2023…
AI Healthcare has development, implementation and reproducibility issues — out of ~600 models for COVID-19, almost none were deployed for use in patient care
This is a republication of the paper “Prediction models for diagnosis and prognosis of covid-19: systematic review and…
The reproducibility issues that haunt health-care AI. How to fix them?
institute for continuoushealth transformation Joaquim Cardoso MScSenior Advisor for Continuous Health Transformationand Digital HealthJanuary 10, 2023 EXECUTIVE SUMMARY The…
A retrospective of the past 5 years in Artificial Intelligence (AI) — AI Adoption has more than doubled since 2017 — it’s paying off in the form of actual bottom-line impact
Health Transformation Institute (HTI) institute for continuous health transformation Joaquim Cardoso MSc*Founder, Chief Researcher & EditorDecember 9, 2022 MSc*…
How to Build Good AI Solutions When Data Is Scarce – [including the case of atrial fibrillation with only 6% of the labeled examples]
health, care and tech institute (HCTI) institute for continuous health transformation Joaquim Cardoso MSc*Chief Researcher & Editor, and…
Technical Medicine is the profession of the future: it’ll prove to be essential
That includes Data, AI, Digital, and Wearables and Smartphones, among others. This is a republication of the article below,…
In ten years, AI leading and doctors supporting: reality or madness? — A Challenging View of AI Future
Interview with Prof. Dr. Folkert Asselbergs, cardiologist and Professor Precision Medicine in Cardiovascular Disease at UMC Utrecht and…
