Latest AI and machine learning research in pneumonia for healthcare professionals.
Chest X-ray (CXR) imaging remains the most widely used and cost-effective modality for diagnosing thoracic diseases, yet automated multi-disease interpretation remains challenging due to acquisition variability, subtle overlapping pathologies, and multi-class classification complexity. Existing deep learning approaches often lack uncertainty modeling, interpretability, and robustness across hetero...
The National Institute for Health and Care Excellence (NICE), which advises the National Health Service (NHS) on cost-effective resource allocation, introduced its Early Value Assessment (EVA) pathway in 2020 to accelerate access to promising digital and artificial intelligence (AI) technologies while further evidence is generated. However, one of the first EVA cohorts not to receive a conditional...
Interstitial lung disease (ILD) encompasses diverse pulmonary disorders with varied prognoses. Current pathological diagnoses suffer from inter-observ...
Modern viral vaccines are designed to elicit an immune response against viral proteins that mediate infection, making those proteins important targets...
Plants recruit antagonistic microbes to defend against phytopathogens, offering a route to rational biocontrol beyond empirical screening. Here, using...
BACKGROUND AND AIMS: Pharmacists play a key role in managing and mitigating mpox through clinical care, pharmacovigilance, vaccine management, and res...
UNLABELLED: Norovirus is a leading cause of acute gastroenteritis worldwide due to its high contagiousness, widespread transmission, and the lack of t...
BACKGROUND: Preoperative optimization is widely recommended for patients undergoing ventral hernia repair. However, the clinical impact of individual ...
Identifying synergies between dietary fibers and beneficial bacteria holds promise for precision interventions that optimize gut health, yet these int...
The amygdala is a central hub for emotional processing, whose interactions with large-scale brain networks have been implicated in the pathophysiology...
INTRODUCTION: Frailty is a multifactorial geriatric syndrome, and sleep disturbances have emerged as a potential contributing factor. However, convent...
BACKGROUND: The population of adults aged 65 and older is rapidly increasing, while the availability of caregivers is declining. Smart homes that prov...
BACKGROUND: Web-based surveys involving self-reported questionnaires are vulnerable to fraudulent responses. Advancements in artificial intelligence a...
OBJECTIVES: Differential diagnosis of pneumonia, tuberculosis, and lung cancer is highly challenging due to overlapping clinical presentations and hig...
INTRODUCTION: Participation in cancer clinical trials is low in community oncology settings, partly because institution-specific trial information is ...
Despite advancements in therapeutic cancer vaccines, clinical translation has been hindered by limited efficacy, with Sipuleucel-T remaining the only ...
OBJECTIVES: To develop and validate machine learning models for predicting clinician-determined follow-up interval categories in home care services am...
BACKGROUND: Vaccine hesitancy is a major public health problem that threatens global immunisation programmes. The use of artificial intelligence-based...
This study aims to improve pneumonia diagnosis by integrating attention-based U-Net models for lung segmentation with fuzzy logic-enhanced CNNs for cl...
The use of digital health technologies is advancing the provision of community health services, especially in low- and middle-income countries. Howeve...