Pneumonia

Prescriptive analytics decision-making system for cardiovascular disease prediction in long COVID patients using advanced reinforcement learning algorithms.

In recent years Covid-19 impact is causing unprecedented difficulties worldwide, affecting lifestyle choices. The post-pandemic era has made this even more critical.COVID-19 triggers widespread inflammation throughout the body, potentially causing damage to the heart and other vital organs. Mortality data from COVID-19 clearly show that the highest death rates occur in individuals with chronic con...

Application of in-silico approaches in subunit vaccines: Overcoming the challenges of antigen and adjuvant development.

Subunit vaccines are crucial in preventing modern diseases due to their safety, stability, and ability to elicit targeted immune responses. However, challenges in antigen and adjuvant design hinder their development. Recent advancements in in-silico approaches, including reverse vaccinology, structural vaccinology, and machine learning, have revolutionized vaccine development from empirical practi...

The Accuracy of ChatGPT-4o in Interpreting Chest and Abdominal X-Ray Images.

Large language models (LLMs), such as ChatGPT, have emerged as potential clinical support tools to enhance precision in personalized patient care, bu...

Describe Anything in Medical Images

Localized image captioning has made significant progress with models like the Describe Anything Model (DAM), which can generate detailed region-spec...

Automating Infrastructure Surveying: A Framework for Geometric Measurements and Compliance Assessment Using Point Cloud Data

Automation can play a prominent role in improving efficiency, accuracy, and scalability in infrastructure surveying and assessing construction and c...

Chest X-Ray Visual Saliency Modeling: Eye-Tracking Dataset and Saliency Prediction Model.

Radiologists' eye movements during medical image interpretation reflect their perceptual-cognitive processes of diagnostic decisions. The eye movement...

Data Standards in Audiology: A Mixed-Methods Exploration of Community Perspectives and Implementation Considerations

Objective: The purpose of this study was to explore options for data standardisation in audiology and document the global audiology community's curr...

CXR-AD: Component X-ray Image Dataset for Industrial Anomaly Detection

Internal defect detection constitutes a critical process in ensuring component quality, for which anomaly detection serves as an effective solution....

AOR: Anatomical Ontology-Guided Reasoning for Medical Large Multimodal Model in Chest X-Ray Interpretation

Chest X-rays (CXRs) are the most frequently performed imaging examinations in clinical settings. Recent advancements in Large Multimodal Models (LMM...

Diagnostic Uncertainty in Pneumonia Detection using CNN MobileNetV2 and CNN from Scratch

Pneumonia Diagnosis, though it is crucial for an effective treatment, it can be hampered by uncertainty. This uncertainty starts to arise due to som...

Leveraging large language models to compare perspectives on integrating QSP and AI/ML.

Two recent papers offer contrasting perspectives on integrating Quantitative Systems Pharmacology (QSP) and Artificial Intelligence/Machine Learning (...

CLOG-CD: Curriculum Learning based on Oscillating Granularity of Class Decomposed Medical Image Classification

Curriculum learning strategies have been proven to be effective in various applications and have gained significant interest in the field of machine...

Knowledge-Augmented Language Models Interpreting Structured Chest X-Ray Findings

Automated interpretation of chest X-rays (CXR) is a critical task with the potential to significantly improve clinical workflow and patient care. Wh...

A Dataset for Understanding Radiologist-Artificial Intelligence Collaboration.

This dataset, Collab-CXR, provides a unique resource to study human-AI collaboration in chest X-ray interpretation. We present experimentally generate...

Tell me who its founders are and I'll tell you what your online community looks like: Online community founders' personality and community attributes

Online communities are an increasingly important stakeholder for firms, and despite the growing body of research on them, much remains to be learned...

Any-to-Any Vision-Language Model for Multimodal X-ray Imaging and Radiological Report Generation

Generative models have revolutionized Artificial Intelligence (AI), particularly in multimodal applications. However, adapting these models to the m...

Predicting Respiratory Disease Mortality Risk Using Open-Source AI on Chest Radiographs in an Asian Health Screening Population.

Purpose To assess the prognostic value of an open-source deep learning-based chest radiographs algorithm, CXR-Lung-Risk, for stratifying respiratory d...

Artificial Intelligence Assessment of Chest Radiographs for COVID-19.

BACKGROUND: The sensitivity of reverse-transcription polymerase chain reaction (RT-PCR) is limited for diagnosis of severe acute respiratory syndrome ...

Exploring community knowledge, perceptions, and the impacts of anthrax among farming communities living in game management areas in Zambia: A qualitative study using a hybrid approach.

Anthrax remains a neglected zoonotic disease of critical public and animal health significance in Zambia, particularly in regions with active human-wi...

IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports

The development of AI-based methods for analyzing radiology reports could lead to significant advances in medical diagnosis--from improving diagnost...