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Artificial intelligence model to predict pregnancy and multiple pregnancy risk following in vitro fertilization-embryo transfer (IVF-ET)

Jen-Yu Wen, Chung-Fen Liu, Ming-Ting Chung, Yung-Chieh Tsai • Taiwanese Journal of Obstetrics & Gynecology (2022)

Objective: To decrease multiple pregnancy risk and sustain optimal pregnancy chance by choosing suitable number of embryos during transfer, this study aims to construct artificial intelligence models to predict the pregnancy outcome and mul...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.tjog.2021.11.038

Investigating the Role of Artificial Intelligence in Management of Diabetes in Iran: A Systematic Review

Fatemeh Bahador, Azam Sabahi, Samaneh Jalali, Fatemeh Ameri • پیاورد سلامت (2023)

Background and Aim: Diabetes is one of the most common metabolic diseases in Iran and the fifth leading cause of death all over the world. Its spread around the world has created new methods in biomedical research, including artificial inte...

DOAJ Open Access (DOAJ)

РОЛЬ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В АВТОМАТИЗАЦИИ НАУЧНЫХ ИССЛЕДОВАНИЙ: ОТ АНАЛИЗА ЛИТЕРАТУРЫ ДО ГЕНЕРАЦИИ ГИПОТЕЗ

Анастас К.В. • Cifra: Компьютерные науки и информатика (2026)

Современная научная деятельность характеризуется экспоненциальным ростом объема публикаций и данных, что создает значительные трудности в систематизации, анализе и интерпретации информации. В этих условиях технологии искусственного интеллек...

DOAJ Open Access (DOAJ) DOI: 10.60797/COMP.2026.9.1

Predicting Choroidal Nevus Transformation to Melanoma Using Machine Learning

Prashant D. Tailor, MD, Piotr K. Kopinski, MD, PhD, Haley S. D’Souza, MD, David A. Leske, MS et al. • Ophthalmology Science (2025)

Purpose: To develop and validate machine learning (ML) models to predict choroidal nevus transformation to melanoma based on multimodal imaging at initial presentation. Design: Retrospective multicenter study. Participants: Patients diagnos...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.xops.2024.100584

Hyperspectral imaging for the detection of plant pathogens in seeds: recent developments and challenges

Luciellen da Costa Ferreira, Ian Carlos Bispo Carvalho, Lúcio André de Castro Jorge, Alice Maria Quezado-Duval et al. • Frontiers in Plant Science (2024)

Food security, a critical concern amid global population growth, faces challenges in sustainable agricultural production due to significant yield losses caused by plant diseases, with a multitude of them caused by seedborne plant pathogen. ...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpls.2024.1387925

Leveraging AI to Estimate Caribou Lichen in UAV Orthomosaics from Ground Photo Datasets

Galen Richardson, Sylvain G. Leblanc, Julie Lovitt, Krishan Rajaratnam et al. • Drones (2021)

Relating ground photographs to UAV orthomosaics is a key linkage required for accurate multi-scaled lichen mapping. Conventional methods of multi-scaled lichen mapping, such as random forest models and convolutional neural networks, heavily...

DOAJ Open Access (DOAJ) DOI: 10.3390/drones5030099

The role of artificial intelligence in achieving the Sustainable Development Goals

Ricardo Vinuesa, Hossein Azizpour, Iolanda Leite, Madeline Balaam et al. • Nature Communications (2020)

The emergence of artificial intelligence (AI) and its progressively wider impact on many sectors requires an assessment of its effect on the achievement of the Sustainable Development Goals. Using a consensus-based expert elicitation proces...

OPENALEX cc-by DOI: https://doi.org/10.1038/s41467-019-14108-y PMC: 6957485

Social and juristic challenges of artificial intelligence

Matjaž Perc, Mahmut Özer, Janja Hojnik • Humanities and Social Sciences Communications (2019)

Abstract Artificial intelligence is becoming seamlessly integrated into our everyday lives, augmenting our knowledge and capabilities in driving, avoiding traffic, finding friends, choosing the perfect movie, and even cooking a healthier me...

OPENALEX cc-by DOI: https://doi.org/10.1057/s41599-019-0278-x

Artificial Intelligence and Big Data in Public Health

Kurt K. Benke, Geza Benke • International Journal of Environmental Research and Public Health (2018)

Artificial intelligence and automation are topics dominating global discussions on the future of professional employment, societal change, and economic performance. In this paper, we describe fundamental concepts underlying AI and Big Data ...

OPENALEX cc-by DOI: https://doi.org/10.3390/ijerph15122796 PMC: 6313588

Artificial intelligence in orthopaedic surgery

Anthony B. Lisacek-Kiosoglous, Amber S. Powling, Andreas Fontalis, Ayman Gabr et al. • Bone and Joint Research (2023)

The use of artificial intelligence (AI) is rapidly growing across many domains, of which the medical field is no exception. AI is an umbrella term defining the practical application of algorithms to generate useful output, without the need ...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1302/2046-3758.127.bjr-2023-0111.r1 PMC: 10329876

Artificial intelligence

Gillian Pocock, M Hugh • Oxford University Press eBooks (1993)

This chapter explores the extensive potential of artificial intelligence (AI), which has been recognized and harnessed by computer scientists, including physics and life sciences. It analyses how AI is applied to those areas of chemistry th...

OPENALEX DOI: https://doi.org/10.1093/hesc/9780198557364.003.0001

Teens, Tech, and Talk: Adolescents’ Use of and Emotional Reactions to Snapchat’s My AI Chatbot

Gaëlle Vanhoffelen, Laura Vandenbosch, Lara Schreurs • Behavioral Sciences (2025)

Due to technological advancements such as generative artificial intelligence (AI) and large language models, chatbots enable increasingly human-like, real-time conversations through text (e.g., OpenAI’s ChatGPT) and voice (e.g., Amazon’s Al...

DOAJ Open Access (DOAJ) DOI: 10.3390/bs15081037