Results 201 to 210 of about 2,085,409 (278)

Examining the Relationship between Land Use/Land Cover (LULC) and Land Surface Temperature (LST) Using Explainable Artificial Intelligence (XAI) Models: A Case Study of Seoul, South Korea. [PDF]

Int J Environ Res Public Health, 2022
Kim M, Kim D, Kim G.
europepmc   +1 more source

Deep Learning Models for Detection of Periapical Radiolucent Lesions on Panoramic Radiographs: A Systematic Review and Meta‐Analysis

International Endodontic Journal, EarlyView.
ABSTRACT Background Panoramic radiographs are used routinely to screen dental conditions and treatment patterns. Recently, numerous studies have suggested that deep learning (DL) models can be utilized for analysing panoramic radiographs. Objective This review aimed to evaluate the accuracy of DL models in detecting periapical radiolucent lesions (PRLs)
Ibrahim Ali Ahmad, Raidan Ba‐Hattab, Sadeq Ali Al‐Maweri, Faleh Tamimi   +3 more
wiley   +1 more source

A systematic review of EEG-based biomarkers for depression, anxiety, and bipolar disorder: trends in explainable artificial intelligence (XAI). [PDF]

BMC Psychiatry
Zhai L, Zhao M, Zhang J, Jamil M, Naz R, Li C.   +5 more
europepmc   +1 more source

Classification and Automated Interpretation of Spinal Posture Data Using a Pathology-Independent Classifier and Explainable Artificial Intelligence (XAI). [PDF]

Sensors (Basel), 2021
Dindorf C, Konradi J, Wolf C, Taetz B, Bleser G, Huthwelker J, Werthmann F, Bartaguiz E, Kniepert J, Drees P, Betz U, Fröhlich M.   +11 more
europepmc   +1 more source

Open‐Weight Deep Learning for Periapical Index Scoring: Training and Comparison of Convolutional Neural Network Models Based on Three Distinct Architectures and an Ensemble Approach

International Endodontic Journal, EarlyView.
ABSTRACT Aim This study aimed to (i) train and compare three convolutional neural network (CNN) architectures for Periapical Index (PAI) scoring on intraoral radiographs, and (ii) assess whether an ensemble of these models improves performance compared with any single architecture.
Gerald Torgersen, Karianne Winsnes, Trude Handal, My Tien Diep, Dag Ørstavik, Pia Titterud Sunde   +5 more
wiley   +1 more source

Explainable artificial intelligence (XAI) for exploring spatial variability of lung and bronchus cancer (LBC) mortality rates in the contiguous USA. [PDF]

Sci Rep, 2021
Ahmed ZU, Sun K, Shelly M, Mu L.
europepmc   +1 more source

Bridging the implementation gap in MCABC inventory management: from a taxonomy to practical archetypes

International Transactions in Operational Research, EarlyView.
Abstract Despite increasing demands for resilient and sustainable supply chains, inventory management often relies on outdated single‐criterion analyses. While multi‐criteria ABC (MCABC) analyses provide a theoretically mature assessment of resilience‐sustainability‐benefit trade‐offs in inventory, their adoption remains limited due to fragmented ...
Lukas Grützner, Michael H. Breitner
wiley   +1 more source

AI‐enhanced decision support for fall patients: streamlining inpatient flow in the emergency department

International Transactions in Operational Research, EarlyView.
Abstract Emergency department (ED) overcrowding and inefficient patient flow are significant operational challenges, often amplified by the volume of patients sustaining fall‐related injuries. This study predicts hospital admission for these encounters by leveraging unstructured clinical text: triage chief complaints (reasons for seeking care) and ...
Dinesh R. Pai, Usha Ananthakumar, Shruti Sureshan   +2 more
wiley   +1 more source

Utilization of Explainable Artificial Intelligence (XAI)-Powered Computer-Aided Detection (CAD) System on Chest X-Ray Abnormalities in Health Check-Ups. [PDF]

Yonago Acta Med
Nishii S, Tomita K, Touge H, Yamamoto H, Shigeshiro K, Yamasaki A.   +5 more
europepmc   +1 more source

Developing AI‐driven decision support for the proactive identification and evaluation of financially distressed companies by Belgian commercial courts

International Transactions in Operational Research, EarlyView.
Abstract The early identification and accurate evaluation of financially distressed companies by commercial courts is crucial for maintaining a healthy economic fabric. This enables timely support for struggling companies with recovery potential while also facilitating the swift winding up of those unlikely to recover.
Stijn Van Ruymbeke, Joke Baeck, Klaas Mulier, Thomas Demeester   +3 more
wiley   +1 more source