Home »
Academic Articles & Research Papers
Showing 20 of 817 academic articles
Wiktor Stopyra, Oleksiy Voytsekhivskyy, Andrzej Grzybowski • Life
(2025)
Purpose: To compare the accuracy of seven artificial intelligence (AI)-based intraocular lens (IOL) power calculation formulas in medium-long Caucasian eyes regarding the root-mean-square absolute error (RMSAE), the median absolute error (M...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/life15010045
Chun Hian John Yap, Ziying Vanessa Lim • Annals, Academy of Medicine, Singapore
(2026)
Introduction: Artificial Intelligence (AI) is increasingly explored for medical education, and dermatology, with its visual diagnostic focus, holds promise for AI-enhanced learning. However, evidence on its educational effectiveness remains...
DOAJ
Open Access (DOAJ)
DOI: 10.47102/annals-acadmedsg.2026346
Young Joo Yang, Chang Seok Bang • World Journal of Gastroenterology
(2019)
Artificial intelligence (AI) using deep-learning (DL) has emerged as a breakthrough computer technology. By the era of big data, the accumulation of an enormous number of digital images and medical records drove the need for the utilization...
OPENALEX
cc-by-nc
DOI: https://doi.org/10.3748/wjg.v25.i14.1666
PMC: 6465941
Simone Figorilli, Lavinia Moscovini, Simone Vasta, Francesco Tocci et al. • Smart Agricultural Technology
(2025)
Recently banana plantations have been affected by the Black Sigatoka Disease (BSD), producing streaks, lesions and yellow and brown spots on the leaves until the appearance of entire dead parts. The disease causes reductions in yield making...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.atech.2024.100762
Omneya Attallah • Applied Sciences
(2023)
Cervical cancer, among the most frequent adverse cancers in women, could be avoided through routine checks. The Pap smear check is a widespread screening methodology for the timely identification of cervical cancer, but it is susceptible to...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app13031916
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
Iván Claudio Suazo Galdames • Revista Cubana de Estomatología
(2024)
Introduction: The introduction of artificial intelligence-driven applications is revolutionizing dentomaxillofacial imaging.
Objectives: To describe the current status of artificial intelligence applications in dentomaxillofacial diagnosti...
DOAJ
Open Access (DOAJ)
Hongming Peng, Siyu Xiang, Mingju Chen, Hongyang Li et al. • IEEE Access
(2024)
Road segmentation is an important task in the field of semantic segmentation, and the Deeplabv3+ algorithm, which is commonly used for road segmentation, has shortcomings, such as numerous parameters and a tendency to lose detailed informat...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3416468
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
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
Muhammad Aamir, Ziaur Rahman, Uzair Aslam Bhatti, Waheed Ahmed Abro et al. • Scientific Reports
(2025)
Abstract The precise and timely diagnosis of brain tumors is essential for accelerating patient recovery and preserving lives. Brain tumors exhibit a variety of sizes, shapes, and visual characteristics, requiring individualized treatment s...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-025-02209-2
Anantaya Timtong, Atthaphon Ariyarit, Wanwanut Boongsood, Prasert Aengchuan et al. • Results in Engineering
(2024)
This research evaluates the use of artificial intelligence to enhance the accuracy of predictions for mixed-mode I/III fracture toughness in polymethyl methacrylate . Traditionally, assessing fracture toughness relies heavily on destructive...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.rineng.2024.103289
Mortatha Faleh Majed, Ali S. Abed Al Sailawi, Hassan A. Hameed Al-Hamzawi • Next Energy
(2026)
Accurate power forecasting and precise fault diagnosis are critical for the reliable operation of large-scale photovoltaic systems. However, existing data-driven models often fail to capture complex spatiotemporal dependencies and lack phys...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.nxener.2026.101127
Korawege N. C. Jayasena, Battur Batkhishig, Babak Nahid-Mobarakeh, Ali Emadi • IEEE Access
(2025)
Bearing faults are a critical concern in electrical machines, particularly permanent magnet synchronous motors (PMSMs), commonly used in electric vehicles. Early and accurate classification of bearing fault severity is essential for predict...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3589750
A. M. Mutawa, Khalid Sabti, Bibin Shalini Sundaram Thankaleela, Seemant Raizada • Frontiers in Artificial Intelligence
(2026)
Diabetic macular edema (DME) is a primary contributor to visual impairment in diabetic patients, necessitating precise and prompt analysis for optimal treatment. Recent breakthroughs in deep learning (DL) and machine learning (ML) have yiel...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/frai.2026.1684752
Chiara Maria Lavinia Loeffler, Omar S. M. El Nahhas, Hannah Sophie Muti, Zunamys I. Carrero et al. • BMC Biology
(2024)
Abstract Background Homologous recombination deficiency (HRD) is recognized as a pan-cancer predictive biomarker that potentially indicates who could benefit from treatment with PARP inhibitors (PARPi). Despite its clinical significance, HR...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12915-024-02022-9
Cheng-Shen Chang, Yung-Chun Lee • Sensors
(2020)
A tactile position sensing system based on the sensing of acoustic waves and analyzing with artificial intelligence is proposed. The system comprises a thin steel plate with multiple piezoelectric transducers attached to the underside, to e...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s20092619
Vo Phuc Tinh, Hoang Hai Son, Nguyen Hoang Nam, Duc Ngoc Minh Dang et al. • IEEE Access
(2024)
In the large-scale deployment of federated learning (FL) systems, the heterogeneity of clients, such as mobile phones and Internet of Things (IoT) devices with different configurations, constitutes a significant problem regarding fairness, ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3475737
Rui-Fang Lu, Chao-Yin She, Dan-Ni He, Mei-Qing Cheng et al. • npj Digital Medicine
(2025)
Abstract Hepatocellular carcinoma (HCC) ultrasound screening encounters challenges related to accuracy and the workload of radiologists. This retrospective, multicenter study assessed four artificial intelligence (AI) enhanced strategies us...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41746-025-01892-9
Teerachate Nantakeeratipat • Frontiers in Digital Health
(2026)
BackgroundLarge Language Models (LLMs) in healthcare holds immense promise yet carries the risk of perpetuating social biases. While artificial intelligence (AI) fairness is a growing concern, a gap exists in understanding how these models ...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fdgth.2025.1687820