Pulmonology

Pneumonia

Latest AI and machine learning research in pneumonia for healthcare professionals.

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Synbiotic enhances immune responses against infectious bronchitis, infectious bursal disease, Newcastle disease and avian influenza in broiler chickens.

Increased susceptibility of birds to avian pathogens in intensive husbandry system has emphasized on...

Sep 2015 26893807
Moving the mountain: analysis of the effort required to transform comparative anatomy into computable anatomy.

The diverse phenotypes of living organisms have been described for centuries, and though they may be...

May 2015 25972520
Community challenges in biomedical text mining over 10 years: success, failure and the future.

One effective way to improve the state of the art is through competitions. Following the success of ...

May 2015 25935162
A stochastic model for detecting overlapping and hierarchical community structure.

Community detection is a fundamental problem in the analysis of complex networks. Recently, many res...

Mar 2015 25822148
Inferring landscape-scale land-use impacts on rivers using data from mesocosm experiments and artificial neural networks.

Identifying land-use drivers of changes in river condition is complicated by spatial scale, geomorph...

Mar 2015 25775245
Gene Ontology Consortium: going forward.

The Gene Ontology (GO; http://www.geneontology.org) is a community-based bioinformatics resource tha...

Nov 2014 25428369
Functional outcomes after TORS for oropharyngeal cancer: a systematic review.

Summarize functional outcomes after transoral robotic surgery (TORS) ± adjuvant therapy for orophary...

Mar 2014 24643851
Humanoid robotics in health care: An exploration of children's and parents' emotional reactions.

A new non-pharmacological method of distraction was tested with 57 children during their annual flu ...

Oct 2013 24140615
AI Adoption for NCDs in Kenya: A Qualitative Study

Background: Non-communicable diseases (NCDs) represent a critical public health challenge in Kenya, ...

Not All Tokens Matter Equally: Dynamic In-context Vector Distillation with Decisive-Token Supervision for Long-form Medical Report Generation

Distilling demonstration effects into hidden-space interventions offers a lightweight alternative to...

Prospective evaluation of multimodal respiratory failure prediction: Do chest X-rays improve performance beyond EHR signals?

Early prediction of respiratory failure is critical for timely clinical intervention in intensive ca...

The Double Dilemma in Multi-Task Radiology Report Generation: A Gradient Dynamics Analysis and Solution

While multi-task learning based automatic radiology report generation (RRG) is widely adopted to ens...

Domain Incremental Learning for Pandemic-Resilient Chest X-Ray Analysis

Deep learning models achieved high accuracy in pneumonia detection from chest X-rays. However, their...

Medical Context Distorts Decisions in Clinical Vision Language Models

Vision-language models (VLMs) are increasingly proposed for clinical decision support, yet their rel...

Pathogen-specific host responses define distinct pneumonia endotypes in the human lung

Pneumonia is the leading cause of death from infectious disease worldwide. The diagnosis and treatme...

Resilient Vision-Tabular Multimodal Learning under Modality Missingness

Multimodal deep learning has shown strong potential in medical applications by integrating heterogen...

Susagi: A Microbiome World Model

Motivation: Accurately modelling how microbial communities assemble and change across hosts and envi...

CXR-ContraBench: Benchmarking Negated-Option Attraction in Medical VLMs

When a chest X-ray shows consolidation but the question asks which finding is present, a medical vis...

Deep Learning-Based Structure Modeling of the Treponema pallidum Proteome: Insights into Pathogenesis and Syphilis Vaccine Development

Treponema pallidum ssp. pallidum, the causative agent of syphilis, has a small proteome and encompas...

Shortkit-ML: A Unified Multi-Perspective Framework for Detecting Shortcut Learning in Medical Imaging Embeddings

Shortcut learning poses a significant challenge in clinical artificial intelligence, as models may r...

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