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Showing 17 of 277 academic articles

Evidence for Dynamical Filtering: High Binary Fraction, Hard-binary Excess, and Unresolved Triples in the Surviving Core of NGC 6791

Huanbin Chi, Zhi Li, Feng Wang, Xuefen Tian et al. • The Astrophysical Journal (2026)

We present a deep photometric analysis of the main-sequence (MS) population in the old, metal-rich open cluster (OC) NGC 6791 using Gaia Data Release 3 data. After correcting for differential reddening, we use the Bayesian model comparison ...

DOAJ Open Access (DOAJ) DOI: 10.3847/1538-4357/ae690f

Artificial Intelligence in Nuclear Medicine

Felix Nensa, Aydın Demircioğlu, Christoph Rischpler • Journal of Nuclear Medicine (2019)

Despite the great media attention for artificial intelligence (AI), for many health care professionals the term and the functioning of AI remain a "black box," leading to exaggerated expectations on the one hand and unfounded fears on the o...

OPENALEX Open Access DOI: https://doi.org/10.2967/jnumed.118.220590

Oxytocin Signalling in Lower Urinary Tract Symptoms Associated with Benign Prostatic Hyperplasia and Overactive Bladder Syndrome: A Narrative Review

Masroor Badshah, Jibriil Ibrahim, Khaled A. Elnahriry, Ralf Middendorff et al. • Biomedicines (2026)

Lower urinary tract symptoms (LUTSs) associated with benign prostatic disease and overactive bladder syndrome (OAB) substantially impair quality of life. This narrative review evaluates oxytocin receptor (OXTR) localisation, signalling, and...

DOAJ Open Access (DOAJ) DOI: 10.3390/biomedicines14102306

Spatio-temporal assessment of Toumeyella parvicornis spread in mediterranean coastal pine forests through sentinel-2 data

Giovanni D’Amico • European Journal of Remote Sensing (2026)

Mediterranean coastal pine forests offer vital ecological and cultural benefits but face threats from climate change, urbanization, and pests. Among invasive agents, Toumeyella parvicornis is a severe threat to Pinus pinea along Italy's coa...

DOAJ Open Access (DOAJ) DOI: 10.1080/22797254.2026.2709014

Enhancing Explainable Artificial Intelligence: Using Adaptive Feature Weight Genetic Explanation (AFWGE) with Pearson Correlation to Identify Crucial Feature Groups

Ebtisam AlJalaud, Manar Hosny • Mathematics (2024)

The ‘black box’ nature of machine learning (ML) approaches makes it challenging to understand how most artificial intelligence (AI) models make decisions. Explainable AI (XAI) aims to provide analytical techniques to understand the behavior...

DOAJ Open Access (DOAJ) DOI: 10.3390/math12233727

A Scalo Gram-Based CNN Ensemble Method With Density-Aware SMOTE Oversampling for Improving Bearing Fault Diagnosis

Muhammad Irfan, Zohaib Mushtaq, Nabeel Ahmed Khan, Salim Nasar Faraj Mursal et al. • IEEE Access (2023)

Machine learning (ML) based bearing fault detection is an emerging application of Artificial Intelligence (AI) that has proven its utility in effectively classifying various faults for timely measures. There are myriad studies dedicated to ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3332243

Artificial Intelligence for Intraoperative Guidance

Amin Madani, Babak Namazi, Maria S. Altieri, Daniel A. Hashimoto et al. • Annals of Surgery (2020)

OBJECTIVE: The aim of this study was to develop and evaluate the performance of artificial intelligence (AI) models that can identify safe and dangerous zones of dissection, and anatomical landmarks during laparoscopic cholecystectomy (LC)....

OPENALEX Open Access DOI: https://doi.org/10.1097/sla.0000000000004594 PMC: 8186165

Unsupervised machine learning identifies distinct ALS molecular subtypes in post-mortem motor cortex and blood expression data

Heather Marriott, Renata Kabiljo, Guy P Hunt, Ahmad Al Khleifat et al. • Acta Neuropathologica Communications (2023)

Abstract Amyotrophic lateral sclerosis (ALS) displays considerable clinical and genetic heterogeneity. Machine learning approaches have previously been utilised for patient stratification in ALS as they can disentangle complex disease lands...

DOAJ Open Access (DOAJ) DOI: 10.1186/s40478-023-01686-8

A Study on the Effectiveness of Deep Learning-Based Anomaly Detection Methods for Breast Ultrasonography

Changhee Yun, Bomi Eom, Sungjun Park, Chanho Kim et al. • Sensors (2023)

In the medical field, it is delicate to anticipate good performance in using deep learning due to the lack of large-scale training data and class imbalance. In particular, ultrasound, which is a key breast cancer diagnosis method, is delica...

DOAJ Open Access (DOAJ) DOI: 10.3390/s23052864

Artificial Intelligence

Ibragim Esenovich Suleimenov, Yelizaveta Sergeevna Vitulyova, Akhat Serikuly Bakirov, Oleg Gabrielyan • International Conference on Computer Technology Applications (ICCTA) (2020)

Based on the principle of dialectic symmetry formulated by the philosophy of dialectic positivism, an interpretation of the concept of "artificial intelligence" is proposed. This principle assumes the existence of a hierarchy of information...

OPENALEX DOI: https://doi.org/10.1145/3397125.3397141

Imago Imaginis

Marjana Dolšina Delač • Ars & Humanitas (2026)

Teaching formal analysis in art history often reveals gaps between students’ visual perception and their analytical articulation. This study explores the pedagogical potential of AI image generators in art history education, focusing on the...

DOAJ Open Access (DOAJ) DOI: 10.4312/ars.20.1.159-177

Artificial intelligence and echocardiography

Maryam Alsharqi, William J. Woodward, J. A. Mumith, D. C. Markham et al. • Echo Research and Practice (2018)

Echocardiography plays a crucial role in the diagnosis and management of cardiovascular disease. However, interpretation remains largely reliant on the subjective expertise of the operator. As a result inter-operator variability and experie...

OPENALEX cc-by DOI: https://doi.org/10.1530/erp-18-0056 PMC: 6280250

AI-assisted neurocognitive assessment protocol for older adults with psychiatric disorders

Diego D. Díaz-Guerra, Marena de la C. Hernández-Lugo, Yunier Broche-Pérez, Carlos Ramos-Galarza et al. • Frontiers in Psychiatry (2025)

IntroductionEvaluating neurocognitive functions and diagnosing psychiatric disorders in older adults is challenging due to the complexity of symptoms and individual differences. An innovative approach that combines the accuracy of artificia...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpsyt.2024.1516065

Penerapan Artificial Intelligence pada Non Player Character Menggunakan Algoritma Collision Avoidance System dan Random Number Generator pada Game 2D "Balap Egrang"

Asep Saeful Milak, Eka Wahyu Hidayat, Aldy Putra Aldya • Jurnal Teknologi Informasi dan Ilmu Komputer (2020)

Game adalah salah satu media teknologi yang populer di kalangan masyarakat baik dari anak kecil maupun orang dewasa sebagai media hiburan. game itu sendiri memiliki banyak sekali genre atau jenisnya. Penelitian ini mengembangkan game dengan...

DOAJ Open Access (DOAJ) DOI: 10.25126/jtiik.2020711816

The impact of digitization of the cost accounting system on organizational efficiency and effectiveness in the healthcare sector of the Republic of Serbia

Kristina Spasić, Bojana Novićević Čečević, Ljilja Antić • BizInfo (2024)

The new industrial era has brought new opportunities and chances for the entire business development. Smart machines, artificial intelligence, cloud computing, the Internet of Things, big data are taking over many jobs and roles, thus leavi...

DOAJ Open Access (DOAJ) DOI: 10.5937/bizinfo2402039S