Results 101 to 110 of about 4,042,759 (279)

A Practical Tutorial on Explainable AI Techniques

ACM Computing Surveys
The past years have been characterized by an upsurge in opaque automatic decision support systems, such as Deep Neural Networks (DNNs). Although DNNs have great generalization and prediction abilities, it is difficult to obtain detailed explanations for ...
Adrien Bennetot, Ivan Donadello, Ayoub El Qadi El Haouari, M. Dragoni, Thomas Frossard, Benedikt Wagner, Anna Sarranti, Silvia Tulli, M. Trocan, Raja Chatila, Andreas Holzinger, Artur d'Avila Garcez, Natalia Díaz-Rodríguez   +12 more
semanticscholar   +1 more source

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito, Chiara Meneghini, Alice Galli, Luca Gallo, Pierfrancesco Mitrotti, Paola Dimartino, Marianna Inglese, Cinzia Zatti, Alessandro Lupini, Andrea Pilotto, Alessandro Padovani, Micol Avenali, Enza Maria Valente, Cristina Tassorelli, Silvia P. Caminiti   +14 more
wiley   +1 more source

Current state and promise of user-centered design to harness explainable AI in clinical decision-support systems for patients with CNS tumors

Frontiers in Radiology
In neuro-oncology, MR imaging is crucial for obtaining detailed brain images to identify neoplasms, plan treatment, guide surgical intervention, and monitor the tumor's response.
Eric W. Prince, Eric W. Prince, Eric W. Prince, David M. Mirsky, David M. Mirsky, Todd C. Hankinson, Todd C. Hankinson, Carsten Görg, Carsten Görg   +8 more
doaj   +1 more source

A comprehensive self-attention melanoma analysis using reliable transformers and explainable AI [PDF]

PeerJ Computer Science
Early detection and accurate identification of melanoma, the most lethal form of skin cancer, are critical for improving patient survival rates. However, conventional diagnostic tools often fail to detect early-stage melanoma due to limited sensitivity ...
Khlood M. Mehdar, Sana Yasin, Umar Draz, Muhammad Irfan, Tariq Ali, Isha Yasin, Sabah Elshafie Mohammed Elshafie, Aisha M. Mashraqi, Hanan T. Halawani, Amal Mohammad Shediwah, Abdullah A. Asiri   +10 more
doaj   +2 more sources

Reliable water quality prediction and parametric analysis using explainable AI models

Scientific Reports
The consumption of water constitutes the physical health of most of the living species and hence management of its purity and quality is extremely essential as contaminated water has to potential to create adverse health and environmental consequences ...
M. K. Nallakaruppan, E. Gangadevi, M. Shri, B. Balusamy, Sweta Bhattacharya, Shitharth Selvarajan   +5 more
semanticscholar   +1 more source

A Scoping Review on Artificial Intelligence–Supported Interventions for Nonpharmacologic Management of Chronic Rheumatic Diseases

Arthritis Care &Research, EarlyView.
This review summarizes artificial intelligence (AI)‐supported nonpharmacological interventions for adults with chronic rheumatic diseases, detailing their components, purpose, and current evidence base. We searched Embase, PubMed, Cochrane, and Scopus databases for studies describing AI‐supported interventions for adults with chronic rheumatic diseases.
Nirali Shah, Alexis Castellanos, Yen Chen, John Piette, Amy Bucher, Susan Murphy   +5 more
wiley   +1 more source

Lived and Care Experiences of Chronic Musculoskeletal Shoulder Pain in Australian Adults: A Qualitative Study

Arthritis Care &Research, EarlyView.
Objective Australian evidence on lived and care experiences of chronic musculoskeletal shoulder pain (CMSP), irrespective of disorder classification or disease, is limited. However, such evidence is important for person‐centered care and informing local service pathways and care guidelines or standards.
Sonia Ranelli, Joanne E. Jordan, Ilana N. Ackerman, Alison Thorpe, Jennifer G. Persaud, Linda J. Woodhouse, Jason Chua, Ben Horgan, Andrew M. Briggs   +8 more
wiley   +1 more source

Clinical Conditions Associated With a High Antinuclear Antibody Titer in Individuals Without Autoimmune Disease

Arthritis Care &Research, EarlyView.
Objective Antinuclear antibodies (ANAs) are present at high titers in 2% of the general population, but their clinical significance in individuals without an autoimmune (AI) disease is not known. We tested the hypothesis that the presence of a high ANA titer in non‐AI conditions is associated with disease.
Matthew Chung, John P. Shelley, Gul Karakoc, John Still, Xiaodi Ruan, Jonathan Mosley, C. Michael Stein, Vivian K. Kawai   +7 more
wiley   +1 more source

A unified ontological and explainable framework for decoding AI risks from news data

Scientific Reports
Artificial intelligence (AI) is rapidly permeating various aspects of human life, raising growing concerns about its associated risks. However, existing research on AI risks often remains fragmented—either limited to specific domains or focused solely on
Chuan Chen, Peng Luo, Huilin Zhao, Mengyi Wei, Puzhen Zhang, Zihan Liu, Liqiu Meng   +6 more
doaj   +1 more source

A literature review of artificial intelligence (AI) for medical image segmentation: from AI and explainable AI to trustworthy AI

Quantitative Imaging in Medicine and Surgery
Background and Objective Medical image segmentation is a vital aspect of medical image processing, allowing healthcare professionals to conduct precise and comprehensive lesion analyses.
Zixuan Teng, Lan Li, Ziqing Xin, Dehui Xiang, Jiang Huang, Hailing Zhou, Fei Shi, Weifang Zhu, Jing Cai, Tao Peng, Xinjian Chen   +10 more
semanticscholar   +1 more source