[HTML][HTML] A survey, review, and future trends of skin lesion segmentation and classification

MK Hasan, MA Ahamad, CH Yap, G Yang - Computers in Biology and …, 2023 - Elsevier
Abstract The Computer-aided Diagnosis or Detection (CAD) approach for skin lesion
analysis is an emerging field of research that has the potential to alleviate the burden and …

Machine and deep learning for longitudinal biomedical data: a review of methods and applications

A Cascarano, J Mur-Petit… - Artificial Intelligence …, 2023 - Springer
Exploiting existing longitudinal data cohorts can bring enormous benefits to the medical
field, as many diseases have a complex and multi-factorial time-course, and start to develop …

Addressing fairness in artificial intelligence for medical imaging

MA Ricci Lara, R Echeveste, E Ferrante - nature communications, 2022 - nature.com
A plethora of work has shown that AI systems can systematically and unfairly be biased
against certain populations in multiple scenarios. The field of medical imaging, where AI …

Artificial intelligence–based image analysis in clinical testing: lessons from cervical cancer screening

D Egemen, RB Perkins, LC Cheung… - JNCI: Journal of the …, 2024 - academic.oup.com
Novel screening and diagnostic tests based on artificial intelligence (AI) image recognition
algorithms are proliferating. Some initial reports claim outstanding accuracy followed by …

Why do errors arise in artificial intelligence diagnostic tools in histopathology and how can we minimize them?

H Evans, D Snead - Histopathology, 2024 - Wiley Online Library
Artificial intelligence (AI)‐based diagnostic tools can offer numerous benefits to the field of
histopathology, including improved diagnostic accuracy, efficiency and productivity. As a …

AI reporting guidelines: how to select the best one for your research

ME Klontzas, AA Gatti, AS Tejani… - Radiology: Artificial …, 2023 - pubs.rsna.org
Tailored to studies pertaining to radiomics Include detail regarding: Image protocol quality
Reproducibility of segmentation Imaging at multiple time points Cost-effectiveness analysis …

Explainable artificial intelligence and cardiac imaging: toward more interpretable models

A Salih, I Boscolo Galazzo, P Gkontra… - Circulation …, 2023 - Am Heart Assoc
Artificial intelligence applications have shown success in different medical and health care
domains, and cardiac imaging is no exception. However, some machine learning models …

Trustworthy artificial intelligence in Alzheimer's disease: state of the art, opportunities, and challenges

S El-Sappagh, JM Alonso-Moral, T Abuhmed… - Artificial Intelligence …, 2023 - Springer
Abstract Medical applications of Artificial Intelligence (AI) have consistently shown
remarkable performance in providing medical professionals and patients with support for …

[HTML][HTML] Ethics of AI in radiology: a review of ethical and societal implications

M Goisauf, M Cano Abadía - Frontiers in Big Data, 2022 - frontiersin.org
Artificial intelligence (AI) is being applied in medicine to improve healthcare and advance
health equity. The application of AI-based technologies in radiology is expected to improve …

Developing medical imaging AI for emerging infectious diseases

SC Huang, AS Chaudhari, CP Langlotz, N Shah… - nature …, 2022 - nature.com
Advances in artificial intelligence (AI) and computer vision hold great promise for assisting
medical staff, optimizing healthcare workflow, and improving patient outcomes. The COVID …