… medical diagnosis, Section IV and Section V present diagnostic systems using machine
learning … VI, we present the review guidelines using the Prisma technique. Research findings, …

… explainability for medical AI from the technological, legal, medical, and patient perspectives.
… , we then conducted an ethical assessment using the “Principles of Biomedical Ethics” by …

… Tools that employ artificial intelligence, machine learning, and … tools, auxiliary diagnostic
systems have expanded greatly … , change the perspective that everyone in the health care field …

… A convolutional neural network (CNN) is a type of ANN used for deep learning that employs
a … Machine learning (ML) is a subtype of AI that employs ML algorithms through data analysis …

… the alternative of using machine learning methods for inferring … From a historical perspective,
it is somewhat premature to call … new principles and regulations to govern medical artificial …

… Using a non-explainable AI system, the human investigator … re-build highly-complex information
using limited training data to … From a technical point of view, only the emergence of deep …

… using efficient artificial intelligence and machine-learning algorithms, and regulators embracing
this change through new collaborations. This perspective … and health care from academy…

… imaging setting from a combined quantitative and qualitative perspective. This entails the …
have begun to outperform radiologists at certain diagnostic tasks using medical images [106…

… In this Perspective, we offer a brief overview on the … be more usefully achieved by using
artificial intelligence (AI) tools … conceptual remote radar sensing diagnostic system setting. The …

… , at least in principle, we could perform diagnosis by fitting our … to the lack of proper perspective
on the problems involved in … on in this volume all employ AI techniques to represent and …