Assessment of awareness of keratoconus and its relation to eye rubbing among Saudi Arabia population by Nuwayyir Abdullah Alqasimi, Lujain Hatim Aljohani, Renato Ambrósio, Renato Ambrósio, Renato Ambrósio, Renato Ambrósio, Renato Ambrósio, Bader Saad AlQahtani, Bader Saad AlQahtani, Nasser Saleh Al Haydar, Bdour Raja Alanazi, Danah Tariq Alfurayhan, Lina Sami Hussain Saber, Fatemah Saleh Alsalem, Nawaf Abdullah Alqahtani, Jose Manuel Vargas

Get full text

Comparison and verification of detection accuracy for late deceleration with and without uterine contractions signals using convolutional neural networks by Ikumi Sato, Ikumi Sato, Yuta Hirono, Yuta Hirono, Eiri Shima, Hiroto Yamamoto, Kousuke Yoshihara, Chiharu Kai, Chiharu Kai, Akifumi Yoshida, Fumikage Uchida, Naoki Kodama, Satoshi Kasai

“…Since obstetricians evaluate potential LD signals only from the FHR signal when the UC signal quality is poor, we hypothesized that LD could be detected by capturing the morphological features of the FHR signal using Artificial Intelligence (AI). Therefore, this study compares models using FHR only (FHR-only model) and FHR with UC (FHR + UC model) constructed using a Convolutional Neural Network (CNN) to examine whether LD could be detected using only the FHR signal.MethodsThe data used to construct the CNN model were obtained from the publicly available CTU-UHB database. …”
Get full text

The MyFlex-ζ Foot: A Variable Stiffness ESR Ankle-Foot Prosthesis by Johnnidel Tabucol, Vera G. M. Kooiman, Marco Leopaldi, Ruud Leijendekkers, Giacomo Selleri, Marcello Mellini, Nico Verdonschot, Magnus Oddsson, Raffaella Carloni, Andrea Zucchelli, Tommaso M. Brugo

Get full text

Perbandingan Arsitektur Convolutional Neural Network Pada Klasifikasi Pneumonia, COVID-19, Lung Opacity, dan Normal Menggunakan Citra Sinar-X Thoraks by Agung Wahyu Setiawan

“…In recent years, artificial intelligence-based classification approaches have been widely used. …”
Get full text

Call to Action: Lead Pharmacy into the Next Decade by Kerry K Fierke, Gardner Lepp, Bridget McGugan, Marta Brooks, Gregory Zumach

“…At the same time, our current environment requires attention to new challenges such as a multigenerational workforce and artificial intelligence. Call to Action Through our work as scholars, we can provide evidence-based, pertinent, timely solutions to address these issues, in ways that make it easily transferable to broad audiences. …”
Get full text

MXene-based materials for enhanced water quality: Advances in remediation strategies by Ali Mohammad Amani, Milad Abbasi, Atena Najdian, Farzaneh Mohamadpour, Seyed Reza Kasaee, Hesam Kamyab, Shreeshivadasan Chelliapan, Mostafa Shafiee, Lobat Tayebi, Ahmad Vaez, Atefeh Najafian, Ehsan Vafa, Sareh Mosleh-Shirazi

Get full text

DEVELOPING INFORMATION AND TECHNOLOGICAL COMPETENCE OF PROSPECTIVE MILITARY SAILORS by Ruslan Shevchenko, Oleh Cherniavskyi, Vasyl Shemchuk, Olena Zlobina, Natalia Benkovska, Nataliia Terentieva, Андрій Гуралюк

“…In the framework of our research we understand this competence as an integral quality of a person which combines motivation, knowledge, skills, experience in the use of modern information technologies during professional activities related to the performance of duties of future officers of the Ukrainian Navy of the Armed Forces of Ukraine (including  management of combat modules, unmanned aerial vehicles, digital weapons, the possibility of using artificial intelligence in combat systems, ensuring cyber security of weapons and military equipment, etc.). …”
Get full text

Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism by Avi Deb Raha, Mrityunjoy Gain, Rameswar Debnath, Apurba Adhikary, Yu Qiao, Md. Mehedi Hassan, Anupam Kumar Bairagi, Sheikh Mohammed Shariful Islam

Get full text

Sistem Identifikasi Penyakit Paru Obstruktif Kronik (PPOK) Berdasarkan Suara Paru-Paru Menggunakan Jaringan Saraf Tiruan Berbasis Raspberry Pi by Lindhu Parang Kusuma, Barlian Henryranu Prasetio, Eko Setiawan

“…The system also uses an artificial intelligence system so that the diagnosis process is faster, precise, and consistent so that it does not depend on the sensitivity of the ear and the doctor's expertise. …”
Get full text

Accurate phenotype-to-genotype mapping of high-diversity yeast libraries by heat-shock-electroporation (HEEL) by Marcus Wäneskog, Emma Elise Hoch-Schneider, Shilpa Garg, Christian Kronborg Cantalapiedra, Elena Schäfer, Michael Krogh Jensen, Emil Damgaard Jensen

“…This advancement holds significant promise for the fields of molecular biology and protein engineering.IMPORTANCEWith the recent expansion of artificial intelligence in the field of synthetic biology, there has never been a greater need for high-quality data and reliable measurements of phenotype-to-genotype relationships. …”
Get full text

AI-Assisted Compressed Sensing Enables Faster Brain MRI for the Elderly: Image Quality and Diagnostic Equivalence with Conventional Imaging by Gu W, Yang C, Wang Y, Hu W, Wu D, Cai S, Hong G, Hu P, Zhang Q, Dai Y

“…This study aims to assess the feasibility of using artificial intelligence-assisted compressed sensing (ACS) to reduce brain MRI scan time while maintaining image quality and diagnostic accuracy compared to a conventional imaging protocol.Patients and Methods: Seventy patients from the department of neurology underwent brain MRI scans using both conventional and ACS protocols, including axial and sagittal T2-weighted fast spin-echo sequences and T2-fluid attenuated inversion recovery (FLAIR) sequence. …”
Get full text

Advancements in 3D printing technologies for personalized treatment of osteonecrosis of the femoral head by Tingting Chen, Lincong Luo, Jiaying Li, Jiamin Li, Tao Lin, Mingrui Liu, Hang Sang, Xinyu Hong, Jiahao Pu, Wenhua Huang

“…In the future, the potential of 3D printing extends to combining with artificial intelligence for optimizing treatment plans, developing materials with enhanced bioactivity and compatibility, and translating these innovations from the laboratory to clinical practice. …”
Get full text

The Effects of Presenting AI Uncertainty Information on Pharmacists’ Trust in Automated Pill Recognition Technology: Exploratory Mixed Subjects Study by Jin Yong Kim, Vincent D Marshall, Brigid Rowell, Qiyuan Chen, Yifan Zheng, John D Lee, Raed Al Kontar, Corey Lester, Xi Jessie Yang

“…Participants completed a block of 100 verification trials without any help, and another block of 100 trials with the help of an imperfect artificial intelligence (AI) aid recommending acceptance or rejection of a filled medication bottle. …”
Get full text

Proficiency, Clarity, and Objectivity of Large Language Models Versus Specialists’ Knowledge on COVID-19's Impacts in Pregnancy: Cross-Sectional Pilot Study by Nicola Luigi Bragazzi, Michèle Buchinger, Hisham Atwan, Ruba Tuma, Francesco Chirico, Lukasz Szarpak, Raymond Farah, Rola Khamisy-Farah

“…In addition, the advent of generative artificial intelligence (AI), such as large language models (LLMs), offers promising support in health care. …”
Get full text

Health and Experiences During the COVID-19 Pandemic Among Children and Young People: Analysis of Free-Text Responses From the Children and Young People With Long COVID Study by Natalia K Rojas, Sam Martin, Mario Cortina-Borja, Roz Shafran, Lana Fox-Smith, Terence Stephenson, Brian C F Ching, Anaïs d'Oelsnitz, Tom Norris, Yue Xu, Kelsey McOwat, Emma Dalrymple, Isobel Heyman, Tamsin Ford, Trudie Chalder, Ruth Simmons, Snehal M Pinto Pereira

“…MethodsA total of 8224 free-text responses from children and young people were analyzed using InfraNodus, an artificial intelligence–powered text network analysis tool, to determine the most prevalent topics. …”
Get full text

Surgical Outcomes and Sociodemographic Disparities Across All Races: An ACS-NSQIP and NHIS Multi-Institutional Analysis of Over 7.5 Million Patients by Dany Y. Matar, BA, Samuel Knoedler, Anthony Y. Matar, BS, Sarah Friedrich, PhD, Harriet Kiwanuka, MD, Ryoko Hamaguchi, MD, Carla M. Hamwi, BS, Gabriel Hundeshagen, MD, MMS, Valentin Haug, MD, Ulrich Kneser, MD, PhD, Keisha Ray, PhD, Dennis P. Orgill, MD, PhD, Adriana C. Panayi, MD, PhD

Get full text

Presenting a Prediction Model for CEO Compensation Sensitivity using Meta-heuristic Algorithms (Genetics and Particle Swarm) by Saeed Khaljastani, Habib Piri, Reza Sotoudeh

“…These methods offer the potential to improve CEO performance and the quality of services provided by organizations by leveraging existing data and artificial intelligence algorithms. Furthermore, this research can assist investors and economic decision-makers in more accurately analyzing and predicting the sensitivity of CEO compensation using deep neural networks and meta-heuristic algorithms.…”
Get full text

Zipper Pattern: An Investigation into Psychotic Criminal Detection Using EEG Signals by Gulay Tasci, Prabal Datta Barua, Dahiru Tanko, Tugce Keles, Suat Tas, Ilknur Sercek, Suheda Kaya, Kubra Yildirim, Yunus Talu, Burak Tasci, Filiz Ozsoy, Nida Gonen, Irem Tasci, Sengul Dogan, Turker Tuncer

“…Moreover, a cortical connectome diagram related to psychotic criminal detection was created using a DLob-based explainable artificial intelligence (XAI) method. <b>Conclusions:</b> In this regard, the proposed ZPat-based XFE model achieved both high classification performance and interpretability. …”
Get full text

Digital Surveillance of Mental Health Care Services in Saudi Arabia: Cross-Sectional Study of National e-Referral System Data by Abdullah A Alharbi, Nawfal A Aljerian, Meshary S Binhotan, Hani A Alghamdi, Ali K Alsultan, Mohammed S Arafat, Abdulrahman Aldhabib, Yasser A Alaska, Eid B Alwahbi, Mohammed A Muaddi, Ahmad Y Alqassim, Ronnie D Horner

“…Saudi Arabia has pioneered the nationwide Saudi Medical Appointments and Referrals Centre (SMARC), a centralized e-referral system using artificial intelligence and predictive analytics. …”
Get full text

Call to Action: Lead Pharmacy into the Next Decade by Gregory Zumach, Kerry K Fierke, Gardner Lepp, Bridget McGugan, Marta Brooks, Anthony Olson, Andrew Bartlett, Nilushi Karunaratne, Betty Exintaris

“…At the same time, our current environment requires attention to new challenges such as a multigenerational workforce and artificial intelligence. Call to Action Through our work as scholars, we can provide evidence-based, pertinent, timely solutions to address these issues, in ways that make it easily transferable to broad audiences. …”
Get full text