Md. Mostafizer Rahman, Yutaka Watanobe
In recent years, the rise of advanced artificial intelligence technologies has had a profound impact on many fields, including education and research. One such technology is ChatGPT, a powerful large language model developed by OpenAI. This technology offers exciting opportunities for students and e...
Hitesh Chopra, Annu Annu, Dong Kyoo Shin, Kavita Munjal et al.
Clinical trials are the essential assessment for safe, reliable, and effective drug development. Data-related limitations, extensive manual efforts, remote patient monitoring, and the complexity of traditional clinical trials on patients drive the application of Artificial Intelligence (AI) in medic...
Ahnaf Chowdhury Niloy, Salma Akter, Nayeema Sultana, Jakia Sultana et al.
Abstract Background The increasing prevalence of Artificial Intelligence (AI) language models, exemplified by ChatGPT, has sparked inquiries into their influence on creative writing skills in educational contexts. This study aims to quantitatively investigate whether ChatGPT's use negatively affects...
Sohaib Asif, Wenhui Yi, Saif Ur-Rehman, Qurrat- ul-ain et al.
Dejan Ravšelj, Damijana Keržič, Nina Tomaževič, Lan Umek et al.
The paper presents the most comprehensive and large-scale global study to date on how higher education students perceived the use of ChatGPT in early 2024. With a sample of 23,218 students from 109 countries and territories, the study reveals that students primarily used ChatGPT for brainstorming, s...
Yazan Qiblawey, Anas Tahir, Muhammad E. H. Chowdhury, Amith Khandakar et al.
Detecting COVID-19 at an early stage is essential to reduce the mortality risk of the patients. In this study, a cascaded system is proposed to segment the lung, detect, localize, and quantify COVID-19 infections from computed tomography images. An extensive set of experiments were performed using E...
Md. Khabir Uddin Ahamed, Manowarul Islam, Ashraf Uddin, Arnisha Akhter et al.
Coronavirus disease-19 (COVID-19) is a severe respiratory viral disease first reported in late 2019 that has spread worldwide. Although some wealthy countries have made significant progress in detecting and containing this disease, most underdeveloped countries are still struggling to identify COVID...
Tanjim Mahmud, Koushick Barua, Sultana Umme Habiba, Nahed Sharmen et al.
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that affects millions of individuals worldwide, causing severe cognitive decline and memory impairment. The early and accurate diagnosis of AD is crucial for effective intervention and disease management. In recent years, deep lear...
Abdullahi Yusuf, Nasrin Pervin, Marcos Román-González, Norah Md Noor
Abstract Given the potential applications of generative AI (GenAI) in education and its rising interest in research, this systematic review mapped the thematic landscape of 407 publications indexed in the Web of Science, ScienceDirect and Scopus. Using EPPI Reviewer, publication type, educational le...
Kristina Lång, Solveig Hofvind, Alejandro Rodríguez‐Ruiz, Ingvar Andersson
OBJECTIVES: To investigate whether artificial intelligence (AI) can reduce interval cancer in mammography screening. MATERIALS AND METHODS: Preceding screening mammograms of 429 consecutive women diagnosed with interval cancer in Southern Sweden between 2013 and 2017 were analysed with a deep learni...
Muhammad Nazrul Islam, Toki Tahmid Inan, S. Rafi, Syeda Sabrina Akter et al.
Artificial intelligence (AI) and machine learning (ML) have caused a paradigm shift in healthcare that can be used for decision support and forecasting by exploring medical data. Recent studies have shown that AI and ML can be used to fight COVID-19. The objective of this article is to summarize the...
Md. Shahinur Rahman, Md. Mahiuddin Sabbir, Jing Zhang, Iqbal Hossain Moral et al.
Little knowledge is available on students’ attitudes and behavioural intentions towards using ChatGPT, a breakthrough innovation in recent times. This study bridges this gap by adding two relevant less-explored constructs (i.e., perceived enjoyment and perceived informativeness) to the technology ac...
Md Fahimuzzman Sohan, Anas Basalamah
Federated Learning (FL) obtained a lot of attention to the academic and industrial stakeholders from the beginning of its invention. The eye-catching feature of FL is handling data in a decentralized manner which creates a privacy preserving environment in Artificial Intelligence (AI) applications. ...
Md. Masud Rana, Mohammad Safaet Siddiqee, Md. Nazmus Sakib, Md. Rafi Ahamed
The rapid evolution of Artificial Intelligence (AI) and its widespread adoption have given rise to a critical need for understanding the underlying factors that shape users' behavioral intentions. Therefore, the main objective of this study is to explain user perceived behavioral intentions and use ...
Sheikh Mohammed Shariful Islam, Ashis Talukder, Md. Abdul Awal, Md. Muhammad Umer Siddiqui et al.
Background: Hypertension is the most common modifiable risk factor for cardiovascular diseases in South Asia. Machine learning (ML) models have been shown to outperform clinical risk predictions compared to statistical methods, but studies using ML to predict hypertension at the population level are...