Artificial Intelligence

The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence

2020

DSA ADS Course - 2021

Recent research in artificial intelligence and machine learning has largely emphasized general-purpose learning and ever-larger training sets and more and more compute. In contrast, I propose a hybrid, knowledge-driven, reasoning-based approach, centered around cognitive models, that could provide the substrate for a richer, more robust AI than is currently possible.

Key challenges for delivering clinical impact with artificial intelligence

DSA ADS Course - 2021

Machine Learning, Medicine, Artificial Intelligence

Artificial intelligence (AI) research in healthcare is accelerating rapidly, with potential applications being demonstrated across various domains of medicine. However, there are currently limited examples of such techniques being successfully deployed into clinical practice. This article explores the main challenges and limitations of AI in healthcare, and considers the steps required to translate these potentially transformative technologies from research to clinical practice.

Main body

How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals

DSA ADS Course - 2021

Machine Learning, Medicine, Medical Devices, FDA, Medical Device Evaluation

April, 2021

A comprehensive overview of medical AI devices approved by the US Food and Drug Administration sheds new
light on limitations of the evaluation process that can mask vulnerabilities of devices when they are deployed on
patients.

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