Implementation and evaluation of a mentoring and counseling program for medical students at Shahid Beheshti University of Medical Sciences by Vahid Ehsanian, Fateme Derijani, Mohammad Khorraminia, Shiva Eiliaei

“…Additionally, 78.26% stated that mentoring had a positive impact on their academic and career decision-making, with overall satisfaction reaching 91.30%. …”
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Automated classification of midpalatal suture maturation using 2D convolutional neural networks on CBCT scans by Mahshid Nik Ravesh, Nazila Ameli, Manuel Lagravere Vich, Hollis Lai

“…Its compact architecture and strong performance suggest it is suitable for real-time clinical decision-making, particularly in identifying cases that may benefit from surgical intervention. …”
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Stakeholder theory and shareholder theory application in construction field: systematic scoping review by Eunice Achina Agyemang, Innocent Musonda, Sam Zulu

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Thyroid differentiation profile for differentiated thyroid cancer by Anthony J McGoron, Jose M Garcia, Burulça Uluvar, Seza A Gulec

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Reliability of Upper Extremity Functional Performance Tests for Overhead Sports Activities by Bryan L Riemann, Kevin E Wilk, George J Davies

“…# Background There is lack of consensus on which tests, particularly upper extremity functional performance tests (FPT) that should be used for clinical decision making to progress a patient through a rehabilitation program or criteria for return to sport (RTS). …”
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Index pregnancy emotional fertility intention and its correlates in Ethiopia: evidence from a national women and newborns baseline survey by Solomon Abrha Damtew, Tariku Dejene Demissie, Assefa Seme, Niguse Tadele Atnafu, Fitsum Tariku Fantaye, Mahari Yihdego Gidey, Kelemua Mengesha Sene, Bezawork Ayele Kassa, Hailay Gebremichael Gebrekidan, Tariku Tesfaye Bekuma, Aynaw Amogne, Solomon Shiferaw

“…Besides, intentions to conceive and emotional fertility intention on pregnancy are the integral parts of women reproductive health (RH) right and can be considered as women decision-making ability over their fertility. Moreover, in low and middle-income countries including Ethiopia where the sole male´s dominance is culturally accepted and socially constructed, males take the lead in each decision making process including household-level decision, determining the family´s fertility and reproductive health service use. …”
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Improving the Incident Management Process Based on a Use Case Approach by A. A. Mikryukov, A. V. Kuular

“…This method does not require large computational costs and provides the required degree of reliability (error) of the decision. …”
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Wheat Powdery Mildew Severity Classification Based on an Improved ResNet34 Model by Meilin Li, Yufeng Guo, Wei Guo, Hongbo Qiao, Lei Shi, Yang Liu, Guang Zheng, Hui Zhang, Qiang Wang

“…In addition, interpretability techniques such as channel masking and Grad-CAM were employed to visualize the model’s decision-making process. Experimental validation demonstrated that QY-SE-MResNet34 achieved an 89% classification accuracy, outperforming established models such as ResNet50, VGG16, and MobileNetV2 and surpassing the original ResNet34 by 11%. …”
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Automated Distal Radius and Ulna Skeletal Maturity Grading from Hand Radiographs with an Attention Multi-Task Learning Method by Xiaowei Liu, Rulan Wang, Wenting Jiang, Zhaohua Lu, Ningning Chen, Hongfei Wang

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The Potential of Artificial Intelligence in Pharmaceutical Innovation: From Drug Discovery to Clinical Trials by Vera Malheiro, Beatriz Santos, Ana Figueiras, Filipa Mascarenhas-Melo

“…AI systems work through algorithms based on rules or instructions that enable the machine to make decisions. With the advancement of science, more sophisticated AI techniques, such as machine learning and deep learning, have been developed, allowing machines to learn from large amounts of data and improve their performance over time. …”
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Gated-LNN: Gated Liquid Neural Networks for Accurate Water Quality Index Prediction and Classification by Sreeni Chadalavada, Suleyman Yaman, Abdulkadir Sengur, Abdul Hafeez-Baig, Ru-San Tan, Prabal Datta Barua, Ravinesh C. Deo, Makiko Kobayashi, U. Rajendra Acharya

“…Recent advances in machine learning (ML) have brought new approaches to predicting water quality index (WQI) and classifying water quality in real time to enhance decision-making in environmental management. In this study, we propose a novel gated liquid neural network (gated-LNN) that can predict WQI and classify water quality with high accuracy. …”
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On using dynamical seasonal forecasts to develop management-driven wildland fire outlooks in Alaska by Cecilia Borries-Strigle, Uma S. Bhatt, Peter A. Bieniek, Mitchell Burgard, Eric Stevens, Heidi Strader, Richard L. Thoman, Alison York, Robert H. Ziel

“…Throughout this work, we have taken an operational perspective, aiming to keep methods computationally efficient to accommodate the large data volumes and time-sensitive decision-making. …”
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Segmentation and finite element analysis in orthopaedic trauma by Kevin Y. Wang, Alexander R. Farid, Simon Comtesse, Arvind G. von Keudell

“…It plays a pivotal role in predicting fracture risk, assessing construct stability, and informing surgical decision-making. …”
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AI Innovations in Liver Transplantation: From Big Data to Better Outcomes by Eleni Avramidou, Dominik Todorov, Georgios Katsanos, Nikolaos Antoniadis, Athanasios Kofinas, Stella Vasileiadou, Konstantina-Eleni Karakasi, Georgios Tsoulfas

“…This literature review investigates the application of AI in LT, focusing on its role in pre-implantation biopsy evaluation, development of recipient prognosis algorithms, imaging analysis, and decision-making support systems, with the findings revealing that AI can be applied across a variety of fields within LT, including diagnosis, organ allocation, and surgery planning. …”
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Stratified Multisource Optical Coherence Tomography Integration and Cross-Pathology Validation Framework for Automated Retinal Diagnostics by Michael Sher, Riah Sharma, David Remyes, Daniel Nasef, Demarcus Nasef, Milan Toma

“…The methodology integrates biomimetic data partitioning, deep biomarker extraction via pretrained VGG16 networks, and automated model selection optimized for clinical decision-making. Stratified data curation preserved pathological distributions across training, validation, and testing subsets, while SMOTE optimization mitigated class imbalance. …”
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Research advances in evaluation methods for neoadjuvant therapy of tumors by Zien Yuan, Ting Chen, He Zhang, Jiatong Li, Juntan Li, Guanning Shang

“…The Miller–Payne criteria focus on changes in the number and density of tumor cells and provide a reference for surgical decision-making. Nevertheless, it does not consider lymph node metastasis. …”
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Patellar Non-Traumatic Pathologies: A Pictorial Review of Radiologic Findings by Zahra Masroori, Sara Haseli, Elahe Abbaspour, Alireza Pouramini, Arash Azhideh, Marjan Fathi, Fatemeh Kafi, Majid Chalian

“…Furthermore, this review highlights specific radiologic features for a range of non-traumatic patellar conditions, including patellar tendinopathy, chondromalacia patellae, and trochlear dysplasia, emphasizing how distinct radiologic findings facilitate precise diagnosis and clinical assessment. Ultimately, it provides a practical guide for clinicians in diagnosing non-traumatic patellar pathologies through a comprehensive review of key radiologic features while also discussing advancements in imaging technologies and management strategies to support accurate diagnosis and effective clinical decision-making.…”
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An In-depth overview of artificial intelligence (AI) tool utilization across diverse phases of organ transplantation by Shiva Arjmandmazidi, Hamid Reza Heidari, Tohid Ghasemnejad, Zeinab Mori, Leila Molavi, Amir Meraji, Shadi Kaghazchi, Elnaz Mehdizadeh Aghdam, Soheila Montazersaheb

“…Abstract Artificial Intelligence (AI) offers a revolutionary approach to improve decision-making in medicine through the use of advanced computational tools. …”
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Modeling Temperature and Moisture Dynamics in Corn Storage Silos: A Comparative 2D and 3D Approach by Fernando Iván Molina-Herrera, Luis Isai Quemada-Villagómez, Mario Calderón-Ramírez, Gloria María Martínez-González, Hugo Jiménez-Islas

“…The findings support informed decision-making in silo design, optimization, and management, enhancing grain storage strategies globally.…”
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2025 Korean Thyroid Association Clinical Management Guideline on Active Surveillance for Low-Risk Papillary Thyroid Carcinoma by Eun Kyung Lee, Min Joo Kim, Seung Heon Kang, Bon Seok Koo, Kyungsik Kim, Mijin Kim, Bo Hyun Kim, Ji-hoon Kim, Shinje Moon, Kyorim Back, Young Shin Song, Jong-hyuk Ahn, Hwa Young Ahn, Ho-Ryun Won, Won Sang Yoo, Min Kyoung Lee, Jeongmin Lee, Ji Ye Lee, Kyong Yeun Jung, Chan Kwon Jung, Yoon Young Cho, Dong-Jun Lim, Sun Wook Kim, Young Joo Park, Dong Gyu Na, Jee Soo Kim

“…Patient characteristics, including age, comorbidities, and the capacity for long-term follow-up, should be thoroughly assessed. Shared decision-making should carefully weigh the benefits and risks of surgery versus AS, considering expected oncologic outcomes, potential complications, quality of life, anxiety, medical costs, and patient preference. …”
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