Systematic Review Finds High Bias in AI Models for Tropical Diseases
A systematic review reveals that most artificial intelligence models developed for leprosy, leishmaniasis, and schistosomiasis face high risk of bias ...
A systematic review reveals that most artificial intelligence models developed for leprosy, leishmaniasis, and schistosomiasis face high risk of bias ...
A new comment in BMC Artificial Intelligence argues that integrating AI predictive models is essential for combating the global crisis ...
A comparative analysis indicates that artificial intelligence offers distinct pathways for food security in Nigeria and South Africa, shaped by ...
A review in Cell Division evaluates AI and machine learning models for pancreatic cancer diagnosis, highlighting their high reliability in ...
Artificial intelligence is fundamentally reshaping the field of bioprospecting, a process that has historically relied on labor-intensive extraction and screening ...
A scoping review reveals that while deep learning models demonstrate high accuracy in identifying orthodontically induced root resorption, methodological risks ...
An international synthesis of nine studies examines how artificial intelligence enhances teacher reflection, assessment analytics, and critical literacy in science ...
Texas A&M AgriLife Research scientists used the AI tool AlphaFold-Multimer to identify nearly 2,900 likely mitochondrial protein interactions, revealing potential ...
A study of 30 Chinese provincial-level regions reveals that agricultural artificial intelligence innovation represents the primary efficiency bottleneck in transforming ...
A new empirical study published in the Future Business Journal presents the Entrepreneurial Ecosystem 5.0 (EE 5.0) framework, an integrated ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine