Published in Frontiers in Artificial Intelligence
Medical vision-language models (VLMs) combine computer vision (CV) and natural language processing (NLP) to analyze visual and textual medical data. Our paper reviews recent advancements in developing VLMs specialized for healthcare, focusing on publicly available models designed for medical report generation and visual question answering (VQA). We...
The increasing prevalence of diabetes worldwide, including in Mexico, presents significant challenges to healthcare systems. This has a notable impact on hospital admissions, as diabetes is considered an ambulatory care-sensitive condition, meaning that hospitalizations could be avoided. This is just one example of many challenges faced in the medi...
Medical Imaging (MI) datasets are fundamental to artificial intelligence in healthcare. The accuracy, robustness, and fairness of diagnostic algorithms depend on the data (and its quality) used to train and evaluate the models. MI datasets used to be proprietary, but have become increasingly available to the public, including on community-contribut...
Umetni nabori podatkov se pogosto uporabljajo za testiranje in evalvacijo modelov strojnega učenja. Za hitra testiranja obstajajo preprosti, predpripravljeni nabori, kot sta Iris ali Wine iz knjižnice Scikit-learn. Za tekmovanja in industrijsko testiranje pa se uporabljajo prečiščene različice resničnih naborov podatkov. Zaradi varovanja osebnih po...
Artificial intelligence has transformed medical diagnostic capabilities, particularly through medical image analysis. AI algorithms perform well in detecting abnormalities with a strong performance, enabling computer-aided diagnosis by analyzing the extensive amounts of patient data. The data serve as a foundation upon which algorithms learn and ma...
Published in Journal of Physics: Conference Series
The mix design of geopolymer concrete includes consideration of several factors and many trail tests. Obviously, to obtain specified target strength different combinations need to be repeatedly adjusted. As a result, this process consumes more time and energy resources. Therefore, from the sustainability of resources it is essential to develop a pr...
This poster introduces a platform addressing challenges in creating a representative environment for IoT wireless protocols. It aims to facilitate experiment repeatability by generating realistic traffic, executing attacks, and monitoring wireless communications. It offers a controlled environment for producing datasets suited for the assessment of...
Vehicular networks have become a critical component of modern transportation systems by facilitating communication between vehicles and infrastructure. Nonetheless, the security of such networks remains a significant concern, given the potential risks associated with cyberattacks. For this purpose, artificial intelligence approaches have been explo...
The interconnection of Operational Technology (OT) and Information Technology (IT) has created new opportunities for remote management, data storage in the cloud, real-time data transfer over long distances, or integration between different OT and IT networks. OT networks require increased attention due to the convergence of IT and OT, mainly due t...
Published in Environmental Research Letters
Validation of observed gridded precipitation datasets sourced from satellites or reanalysis over Africa remains a challenge due to the dearth of in-situ products that can act as a true estimate. To address this gap, this study compares the performance of different precipitation products (gauge, reanalysis, and satellite-based) sourced from the Freq...
