Latest AI and machine learning research in infectious disease for healthcare professionals.
A mental health disorder is a clinically significant impairment in a persons intellect, emotional control, or behavior. Mental disorders and outpatient morbidity are a challenge to public health in Kenya. The spatial distribution and study of factors associated with these conditions remain limited. The study aimed to conduct spatial modeling of mental health on outpatient mobility in Kenya. This...
Understanding the prevalence, disparities, and symptom variations of Post COVID-19 Condition (PCC) for vulnerable populations is crucial to improving care and addressing intersecting inequities. This study aims to develop a comprehensive framework for integrating social determinants of health (SDOH) into PCC research by leveraging NLP techniques to analyze disparities and variations in SDOH repr...
With the advent of the COVID-19 pandemic, ultrasound imaging has emerged as a promising technique for COVID-19 detection, due to its non-invasive na...
The proliferation of web agents necessitates advanced navigation and interaction strategies within complex web environments. Current models often st...
When formulating a model there is a trade-off between model complexity and (biological) realism. In the present paper we demonstrate how model reduc...
The widespread use of artificial intelligence deep neural networks in fields such as medicine and engineering necessitates understanding their decis...
LLMs are tuned to follow instructions (aligned) by learning which of two outputs users prefer for a prompt. However, this preference data format doe...
Despite coronary artery calcium scoring being considered a largely solved problem within the realm of medical artificial intelligence, this paper ar...
The coronavirus pandemic corresponds to a serious global health crisis which not only changed the way people used to live but also how people behave...
Medical vision-language pretraining (VLP) that leverages naturally-paired medical image-report data is crucial for medical image analysis. However, ...
Accurately classifying COVID-19 pneumonia in 3D CT scans remains a significant challenge in the field of medical image analysis. Although determinis...
Oncolytic viral therapy (OVT) is an emerging precision therapy for aggressive and recurrent cancers. However, its clinical efficacy is hindered by t...
This study presents a comprehensive review of the potential of multimodal deep learning (DL) in medical diagnosis, using COVID-19 as a case example....
We present a simple approach to make pre-trained Vision Transformers (ViTs) interpretable for fine-grained analysis, aiming to identify and localize...
The proliferation of misinformation on social media platforms has highlighted the need to understand how individual personality traits influence sus...
The ratio of airway tree lumen to lung size (ALR), assessed at full inspiration on high resolution full-lung computed tomography (CT), is a major ri...
The CRISPR/Cas9 system developed from Streptococcus pyogenes (SpCas9) has high potential in gene editing. However, its successful application is hinde...
The viruses threats provoke concerns regarding their sustained epidemic transmission, making the development of vaccines particularly important. In th...
Object removal has so far been dominated by the mask-and-inpaint paradigm, where the masked region is excluded from the input, leaving models relyin...
The COVID-19 pandemic has profoundly impacted billions globally. It challenges public health and healthcare systems due to its rapid spread and seve...