Quo vadis autoimmune hepatitis? - Summary of the 5th international autoimmune hepatitis group research workshop 2024Keypoints by Bastian Engel, David N. Assis, Mamatha Bhat, Jan Clusmann, Joost PH. Drenth, Alessio Gerussi, María-Carlota Londoño, Ye Htun Oo, Ida Schregel, Marcial Sebode, Richard Taubert

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A crossover operator for objective functions defined over graph neighborhoods with interdependent and related variables by Jaume Jordan, Javier Palanca, Victor Sanchez-Anguix, Vicente Julian

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Possibilities and limitations of applying ChatGPT in the educational process by Namesztovszk Zsolt B., Glušac Dragana R., Arsović Branka B., Kovacs Elvira I.

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Types of Unmanned Aerial Vehicles (UAVs), Sensing Technologies, and Software for Agricultural Applications by Sri Charan Kakarla, Yiannis Ampatzidis

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ChatGPT in Higher Education and Science: a Threat or a Valuable Resource? by E. N. Ivakhnenko, V. S. Nikolskiy

Subjects: “…artificial intelligence…”
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The use of AI tools and their impact on the assessment of postgraduate courses in the technological field by Susana Hernando-Castro, Juan Diego López-Arquillo, Martín Perea-Álvarez-de-Eulate

Subjects: “…artificial intelligence…”
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Development of an automated foot contact area measurement program for podoscopes using ChatGPT-4: a case report by Min Cheol Chang

Subjects: “…artificial intelligence…”
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Leveraging ChatGPT to Produce Patient Education Materials for Common Hand Conditions by George Abdelmalek, MD, Harjot Uppal, MBA, Daniel Garcia, BS, Joseph Farshchian, MD, Arash Emami, MD, Andrew McGinniss, MD

Subjects: “…Artificial intelligence…”
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The Lawfulness of Using Copyrighted Works for Generative AI Training : A Case Study of a US Lawsuit against OpenAI and Perplexity AI by Stefany Ismantara, Wilma Silalahi

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Evaluation of effectiveness of a virtual AI-based dental assistant in recognizing mixed dentition on panoramic radiographs by Karolina Futyma-Gąbka, Magdalena Piskórz, Kamila Smala, Weronika Miazek, Maria Moskwa, Ingrid Różyło-Kalinowska

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Evaluation of Health Science Students’ Knowledge, Attitudes, and Practices Toward Artificial Intelligence in Northern Saudi Arabia: Implications for Curriculum Refinement and Healthcare Delivery by ALruwail BF, Alshalan AM, Thirunavukkarasu A, Alibrahim A, Alenezi AM, Aldhuwayhi TZA

Subjects: “…artificial intelligence…”
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Are conventional methods sufficient to calculate growth parameters of Pontastacus leptodactylus (Eschscholtz, 1823)? A case study of artificial intelligence from Keban Dam Lake by Benzer Semra, Benzer Recep

“…In this study, the length–weight relationships of Pontastacus leptodactylus, a freshwater crayfish species found in the Keban Dam Lake, were assessed using both conventional methods and artificial intelligence techniques. Throughout the research process, all biometric measurements of the crayfish were meticulously recorded, including TL, TW, and other biometric data. …”
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'Medical Minds and Machine Learning': Awareness and Opinions on Artificial Intelligence in Healthcare among Undergraduate Medical Students of a Tertiary Care Institute of Kolkata, India by Pattanayak Shalini, Basu Mausumi, Sinha Debasish, Kerketta Prince

Subjects: “…artificial intelligence…”
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Optimizing Parkinson’s Disease Prediction: A Comparative Analysis of Data Aggregation Methods Using Multiple Voice Recordings via an Automated Artificial Intelligence Pipeline by Zhengxiao Yang, Hao Zhou, Sudesh Srivastav, Jeffrey G. Shaffer, Kuukua E. Abraham, Samuel M. Naandam, Samuel Kakraba

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Racial and Socioeconomic Disparities in Out-Of-Hospital Cardiac Arrest Outcomes: Artificial Intelligence-Augmented Propensity Score and Geospatial Cohort Analysis of 3,952 Patients by Dominique J. Monlezun, Alfred T. Samura, Ritesh S. Patel, Tariq E. Thannoun, Prakash Balan

“…We sought to perform the first large artificial intelligence- (AI-) guided statistical and geographic information system (GIS) analysis of a multiyear and multisite cohort for OHCA outcomes (incidence and poor neurological disposition). …”
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THE USE OF ARTIFICIAL INTELLIGENCE ON COLPOSCOPY IMAGES AND SEGMENTAL VOLUMES, CONSTRUCTED FROM MRI AND CT IMAGES, IN THE DIAGNOSIS AND STAGING OF PRECANCERS, CERVICAL CANCERS AND THYROID CANCERS by Hlescu Cristian Stefan, Tudor Florin Ursuleanu, Roxana Grigorovici, Andreea Roxana Luca, Ramona Elena Teiu, Maria Paula Comanescu, Alina Ionela Calin, Alexandru Grigorovici

“…Aim of the study For the accurate diagnosis and staging of precancers and cervical and thyroid cancer, we aim to create a diagnostic method optimized by artificial intelligence (AI) algorithms and validated by the notable positive results of a randomized, controlled, 17-month trial.. …”
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Corrections to “Information Security and Artificial Intelligence-Assisted Diagnosis in an Internet of Medical Thing System (IoMTS)” by Pi-Yun Chen, Yu-Cheng Cheng, Zi-Heng Zhong, Feng-Zhou Zhang, Neng-Sheng Pai, Chien-Ming Li, Chia-Hung Lin

“…Presents corrections to the paper, (Corrections to “Information Security and Artificial Intelligence-Assisted Diagnosis in an Internet of Medical Thing System (IoMTS)”).…”
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Exploring Key Considerations for Artificial Intelligence Robots in Home Healthcare Using the Unified Theory of Acceptance and Use of Technology and the Fuzzy Analytical Hierarchy Process Method by Keng-Yu Lin, Kuei-Hu Chang, Yu-Wen Lin, Mei-Jin Wu

Subjects: “…artificial intelligence robots…”
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A quality control method based on physical constraints and data-driven collaborative artificial intelligence for wind observations along high-speed railway lines by X. Xiong, J. Chen, Y. Zhang, X. Chen, Y. Zhang, X. Ye

“…<p>This study proposed a new quality control method via physical constraints and data-driven collaborative artificial intelligence (PD-BX) to reduce wind speed measurement errors caused by the complex environment along high-speed railway lines, achieving enhanced accuracy and reliability. …”
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Diagnosis-Based Hybridization of Multimedical Tests and Sociodemographic Characteristics of Autism Spectrum Disorder Using Artificial Intelligence and Machine Learning Techniques: A Systematic Review by M. E. Alqaysi, A. S. Albahri, Rula A. Hamid

“…It is challenging to discover autism in the early stages of life, which prompted researchers to intensify efforts to reach the best solutions to treat this challenge by introducing artificial intelligence (AI) techniques and machine learning (ML) algorithms, which played an essential role in greatly assisting the medical and healthcare staff and trying to obtain the highest predictive results for autism spectrum disorder. …”
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