Towards trustworthy AI-based algorithms in healthcare: A case of medical images.

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healthcare

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paperposter

Towards trustworthy AI-based algorithms in healthcare: A case of medical images.

Poster presented at the Deep Learning Indaba 2022 by Mbangula Lameck Amugongo

FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare

International audience

This paper describes the FUTURE-AI framework, which pr

When Algorithms Kill Liability for AI Medical Misdiagnosis in India

The rapid integration of artificial intelligence into Indian healthcare has created an unprecedented

Genetic-Based Algorithms Towards Effective Stock Price Prediction: Case Study of Dar es Salaam Stock Exchange

Predicting the movement of stock prices in financial markets has become a challenging task. This is

Medical Image Classification for Monkeypox Case using Deep Learning Algorithms: A Survey

Due to the importance of maintaining public health and preventing the spread of diseases, nowadays,

Exploring Trustworthy AI in Nigeria: A Focus on Safety in Road Traffic

Abstract Safety is paramount in AI systems’ adoption and trust. Much of the work on trus

A Reference Architecture for Trustworthy AI-Enabled Decision Support Systems

Project Description CAMEAL is a Responsible AI reference architecture designed to strengthen climat

Towards trustworthy AI-based algorithms in healthcare: A case of medical images.

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