[HTML][HTML] Current challenges and future opportunities for XAI in machine learning-based clinical decision support systems: a systematic review
Machine Learning and Artificial Intelligence (AI) more broadly have great immediate and
future potential for transforming almost all aspects of medicine. However, in many …
future potential for transforming almost all aspects of medicine. However, in many …
Artificial intelligence in the embryology laboratory: a review
I Dimitriadis, N Zaninovic, AC Badiola… - Reproductive …, 2022 - Elsevier
The goal of an IVF cycle is a healthy live-born baby. Despite the many advances in the field
of assisted reproductive technologies, accurately predicting the outcome of an IVF cycle has …
of assisted reproductive technologies, accurately predicting the outcome of an IVF cycle has …
Artificial intelligence in medical sensors for clinical decisions
Due to the limited ability of conventional methods and the limited perspective of human
diagnostics, patients are often diagnosed incorrectly or at a late stage as their disease …
diagnostics, patients are often diagnosed incorrectly or at a late stage as their disease …
When conscientious employees meet intelligent machines: An integrative approach inspired by complementarity theory and role theory
Over the past century, conscientiousness has become seen as the preeminent trait for
predicting performance. This consensus is due in part to these employees' ability to work …
predicting performance. This consensus is due in part to these employees' ability to work …
The EU medical device regulation: Implications for artificial intelligence-based medical device software in medical physics
R Beckers, Z Kwade, F Zanca - Physica Medica, 2021 - Elsevier
Medical device manufacturers are increasingly applying artificial intelligence (AI) to innovate
their products and to improve patient outcomes. Health institutions are also developing their …
their products and to improve patient outcomes. Health institutions are also developing their …
Regulatory aspects of the use of artificial intelligence medical software
F Zanca, C Brusasco, F Pesapane, Z Kwade… - Seminars in radiation …, 2022 - Elsevier
The rapidly evolving scenario of Artificial intelligence (AI) in medicine comes with new
regulatory challenges, including certification, ownership, and control of data sharing, privacy …
regulatory challenges, including certification, ownership, and control of data sharing, privacy …
How machine learning is impacting research in atrial fibrillation: implications for risk prediction and future management
There has been an exponential growth of artificial intelligence (AI) and machine learning
(ML) publications aimed at advancing our understanding of atrial fibrillation (AF), which has …
(ML) publications aimed at advancing our understanding of atrial fibrillation (AF), which has …
AI and machine learning ethics, law, diversity, and global impact
K Drabiak, S Kyzer, V Nemov… - The British journal of …, 2023 - academic.oup.com
Artificial intelligence (AI) and its machine learning (ML) algorithms are offering new promise
for personalized biomedicine and more cost-effective healthcare with impressive technical …
for personalized biomedicine and more cost-effective healthcare with impressive technical …
Determinants of implementing artificial intelligence-based clinical decision support tools in healthcare: a scoping review protocol
Introduction Artificial intelligence (AI), the simulation of human intelligence processes by
machines, is being increasingly leveraged to facilitate clinical decision-making. AI-based …
machines, is being increasingly leveraged to facilitate clinical decision-making. AI-based …
[HTML][HTML] Artificial intelligence and the medical physicist: welcome to the machine
Artificial intelligence (AI) is a branch of computer science dedicated to giving machines or
computers the ability to perform human-like cognitive functions, such as learning, problem …
computers the ability to perform human-like cognitive functions, such as learning, problem …