Results 51 to 60 of about 4,042,759 (279)
IEEE Access, 2023 Chronic Kidney Disease (CKD) is currently experiencing a growing worldwide incidence and can lead to premature mortality if diagnosed late, resulting in rising costs to healthcare systems.
Pedro A. Moreno-Sanchez
doaj +1 more source
Explainable AI: The New 42? [PDF]
, 2018 Explainable AI is not a new field. Since at least the early exploitation of C.S. Pierce’s abductive reasoning in expert systems of the 1980s, there were reasoning architectures to support an explanation function for complex AI systems, including applications in medical diagnosis, complex multi-component design, and reasoning about the real world.
Goebel, R. +7 more
openaire +3 more sources
Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology
Molecular Oncology, EarlyView.Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts +8 more
wiley +1 more source
Aggressive prostate cancer is associated with pericyte dysfunction
Molecular Oncology, EarlyView.Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero +11 more
wiley +1 more source
Explainable & Safe Artificial Intelligence in Radiology
Journal of the Korean Society of RadiologyArtificial intelligence (AI) is transforming radiology with improved diagnostic accuracy and efficiency, but prediction uncertainty remains a critical challenge.
Synho Do
doaj +1 more source
Allergology InternationalBackground: Artificial intelligence (AI) is a promising new technology that has the potential of diagnosing allergic conjunctival diseases (ACDs). However, its development is slowed by the absence of a tailored image database and explainable AI models ...
Michiko Yonehara +22 more
doaj +1 more source
THE RIGHT TO EXPLANATION IN THE PROCESSING OF PERSONAL DATA WITH THE USE OF AI SYSTEMS
International Journal of Law in Changing World, 2023 Transparency is one of the basic principles enshrined in the General Data Protection Regulation (GDRP). Achieving transparency in automated decision-making processing especially when artificial intelligence (AI) is involved is a challenging task on many
Eleftheria Papadimitriou
doaj +1 more source
An Explainable AI Paradigm for Alzheimer’s Diagnosis Using Deep Transfer Learning
DiagnosticsAlzheimer’s disease (AD) is a progressive neurodegenerative disorder that affects millions of individuals worldwide, causing severe cognitive decline and memory impairment.
Tanjim Mahmud +5 more
semanticscholar +1 more source
Molecular Oncology, EarlyView.Clinical trials on PARP inhibitors in urothelial carcinoma (UC) showed limited efficacy and a lack of predictive biomarkers. We propose SLFN5, SLFN11, and OAS1 as UC‐specific response predictors. We suggest Talazoparib as the better PARP inhibitor for UC than Olaparib.
Jutta Schmitz +15 more
wiley +1 more source
Recent Applications of Explainable AI (XAI): A Systematic Literature Review
Applied SciencesThis systematic literature review employs the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology to investigate recent applications of explainable AI (XAI) over the past three years.
Mirka Saarela, Vili Podgorelec
semanticscholar +1 more source