Explainable AI for healthcare 5.0: opportunities and challenges

D Saraswat, P Bhattacharya, A Verma, VK Prasad… - IEEE …, 2022 - ieeexplore.ieee.org
In the healthcare domain, a transformative shift is envisioned towards Healthcare 5.0. It
expands the operational boundaries of Healthcare 4.0 and leverages patient-centric digital …

[HTML][HTML] Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond

G Yang, Q Ye, J Xia - Information Fusion, 2022 - Elsevier
Abstract Explainable Artificial Intelligence (XAI) is an emerging research topic of machine
learning aimed at unboxing how AI systems' black-box choices are made. This research field …

[HTML][HTML] Unraveling the ethical enigma: artificial intelligence in healthcare

M Jeyaraman, S Balaji, N Jeyaraman, S Yadav - Cureus, 2023 - ncbi.nlm.nih.gov
The integration of artificial intelligence (AI) into healthcare promises groundbreaking
advancements in patient care, revolutionizing clinical diagnosis, predictive medicine, and …

A comprehensive study of explainable artificial intelligence in healthcare

A Mohanty, S Mishra - Augmented intelligence in healthcare: A pragmatic …, 2022 - Springer
The recent development of Artificial intelligence and Machine learning, in general, has
exhibited impressive results in a variety of fields, especially through the introduction of deep …

Explainable artificial intelligence (XAI): concepts and challenges in healthcare

T Hulsen - AI, 2023 - mdpi.com
Artificial Intelligence (AI) describes computer systems able to perform tasks that normally
require human intelligence, such as visual perception, speech recognition, decision-making …

Developing a delivery science for artificial intelligence in healthcare

RC Li, SM Asch, NH Shah - NPJ digital medicine, 2020 - nature.com
Artificial Intelligence (AI) has generated a large amount of excitement in healthcare, mostly
driven by the emergence of increasingly accurate machine learning models. However, the …

A survey on medical explainable AI (XAI): recent progress, explainability approach, human interaction and scoring system

RK Sheu, MS Pardeshi - Sensors, 2022 - mdpi.com
The emerging field of eXplainable AI (XAI) in the medical domain is considered to be of
utmost importance. Meanwhile, incorporating explanations in the medical domain with …

From blackbox to explainable AI in healthcare: existing tools and case studies

PN Srinivasu, N Sandhya, RH Jhaveri… - Mobile Information …, 2022 - Wiley Online Library
Introduction. Artificial intelligence (AI) models have been employed to automate decision‐
making, from commerce to more critical fields directly affecting human lives, including …

Guest editorial explainable AI: towards fairness, accountability, transparency and trust in healthcare

A Shaban-Nejad, M Michalowski… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
The papers in this special section focus on explainable artificial intelligence (AI) in
healthcare services. Recent advances in AI, precision health, and medicine have paved the …

Accessing artificial intelligence for clinical decision-making

C Giordano, M Brennan, B Mohamed… - Frontiers in digital …, 2021 - frontiersin.org
Advancements in computing and data from the near universal acceptance and
implementation of electronic health records has been formative for the growth of …