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View article: Benchmarking large language models on the United States medical licensing examination for clinical reasoning and medical licensing scenarios
Benchmarking large language models on the United States medical licensing examination for clinical reasoning and medical licensing scenarios Open
Artificial intelligence (AI) is transforming healthcare by assisting with intricate clinical reasoning and diagnosis. Recent research demonstrates that large language models (LLMs), such as ChatGPT and DeepSeek, possess considerable potent…
View article: Multimodal Models in Healthcare: Methods, Challenges, and Future Directions for Enhanced Clinical Decision Support
Multimodal Models in Healthcare: Methods, Challenges, and Future Directions for Enhanced Clinical Decision Support Open
Decision-making in modern healthcare increasingly relies on integrating a variety of data sources, including patient demographics, medical imaging, laboratory results, clinical narratives, and temporal data, all of which are difficult for …
View article: Benchmarking Large Language Models on USMLE: Evaluating ChatGPT, DeepSeek, Grok, and Qwen in Clinical Reasoning and Medical Licensing Scenarios
Benchmarking Large Language Models on USMLE: Evaluating ChatGPT, DeepSeek, Grok, and Qwen in Clinical Reasoning and Medical Licensing Scenarios Open
Artificial intelligence (AI) is transforming healthcare by assisting with intricate clinical reasoning and diagnosis. Recent research demonstrates that large language models (LLMs), such as ChatGPT and DeepSeek, possess considerable potent…
View article: Securing Decentralized Ecosystems: A Comprehensive Systematic Review of Blockchain Vulnerabilities, Attacks, and Countermeasures and Mitigation Strategies
Securing Decentralized Ecosystems: A Comprehensive Systematic Review of Blockchain Vulnerabilities, Attacks, and Countermeasures and Mitigation Strategies Open
Blockchain technology has emerged as a transformative innovation, providing a transparent, immutable, and decentralized platform that underpins critical applications across industries such as cryptocurrencies, supply chain management, heal…
View article: Optimized Approaches to Malware Detection: A Study of Machine Learning and Deep Learning Techniques
Optimized Approaches to Malware Detection: A Study of Machine Learning and Deep Learning Techniques Open
Digital systems find it challenging to keep up with cybersecurity threats. The daily emergence of more than 560,000 new malware strains poses significant hazards to the digital ecosystem. The traditional malware detection methods fail to o…
View article: Leveraging Gene Expression Data and Explainable Machine Learning for Enhanced Early Detection of Type 2 Diabetes
Leveraging Gene Expression Data and Explainable Machine Learning for Enhanced Early Detection of Type 2 Diabetes Open
Diabetes, particularly Type 2 diabetes (T2D), poses a substantial global health burden, compounded by its associated complications such as cardiovascular diseases, kidney failure, and vision impairment. Early detection of T2D is critical f…
View article: Missile detection and destruction robot using detection algorithm
Missile detection and destruction robot using detection algorithm Open
This research is based on the present missile detection technologies in the world and the analysis of these technologies to find a cost effective solution to implement the system in Bangladesh. The paper will give an idea of the missile de…
View article: Early Adoption of Generative Artificial Intelligence in Computing Education: Emergent Student Use Cases and Perspectives in 2023
Early Adoption of Generative Artificial Intelligence in Computing Education: Emergent Student Use Cases and Perspectives in 2023 Open
Because of the rapid development and increasing public availability of Generative Artificial Intelligence (GenAI) models and tools, educational institutions and educators must immediately reckon with the impact of students using GenAI. The…
View article: Invasive Suckermouth catfishes (Siluriformes: Loricariidae) in Bangladesh wetlands: A review on the present status and challenges
Invasive Suckermouth catfishes (Siluriformes: Loricariidae) in Bangladesh wetlands: A review on the present status and challenges Open
The suckermouth catfish (SMF) is an invasive species in Bangladesh that has had a huge negative impact on ecosystems including rivers, lakes and wetlands. Several SMFs had been introduced as aquarium fish in the early 80‘s. The first repor…
View article: The Impact of Machine Learning on Society: an Analysis of Current Trends and Future Implications
The Impact of Machine Learning on Society: an Analysis of Current Trends and Future Implications Open
The Machine learning (ML) is a rapidly evolving field of technology that has the potential to greatly impact society in a variety of ways. However, there are also concerns about the potential negative effects of ML on society, such as job …
View article: Electrochemical Properties of Graphene Oxide Nanoribbons/Polypyrrole Nanocomposites
Electrochemical Properties of Graphene Oxide Nanoribbons/Polypyrrole Nanocomposites Open
Graphene is a highly studied material due to its unique electrical, optical, and mechanical properties. Graphene is widely applied in the field of energy such as in batteries, supercapacitors, and solar cells. The properties of graphene ca…