Research Insights in American hhm – American Healthcare Magazine

Graph theory-based machine learning for automated fibromyalgia diagnosis using fMRI during an emotional task

Fibromyalgia FM is a multifaceted chronic pain disorder presenting with pain throughout the musculoskeletal system alongside chronic fatiguesleep disturbances and cognitive impairments Current diagnostic criteria primarily rely on symptom questionnaires with no specific laboratory markers or definitive tests making diagnosis subjective and often de...

Standardizing wrist x-rays: The human-centered design and evaluation of a wrist x-ray positioning tool

Small amounts of malrotation can significantly decrease the diagnostic utility of a wrist radiograph Poorly positioned wrist radiographs can result in repeat scans additional imaging and missed injuries Tolerance for mistakes must be low Radiographers especially those with limited training experience or resources

Early diagnosis of Mycoplasma pneumoniae pneumonia: Development and validation of a predictive model based on clinical examination indicators

Mycoplasma pneumoniae accounts for a significant proportion of pathogens responsible for communityacquired pneumonia CAP Identifying Mycoplasma pneumoniae pneumonia MPP is challenging but essential for guiding early and appropriate antibiotic use

A preliminary model for estimating mass-specific oxygen uptake during manual wheelchair propulsion from mechanical power and heart rate

Manual wheelchair users may have reduced physical activity and total energy expenditure while wearable devices may not adequately capture external mechanical demand during wheelchair propulsion This pilot study examined whether wheellevel mechanical power combined with heart rate could estimate massspecific oxygen uptake VOkg during manual wheelcha...

Large language models and artificial intelligence for generating, simplifying, and enhancing outpatient clinic letters: A systematic review

Outpatient clinic letters are a cornerstone of clinical communication but frequently exceed recommended reading levels limiting patient comprehension and engagement Large Language Models LLMs

A systematic review of prolonged posture monitoring with accelerometer-based wearable sensors

Prolonged sitting and standing are associated with health risks Unlike generic sedentary behaviour monitoring based on energy expenditure prolonged posture monitoring requires posturespecific detection

A segmentation-guided CNN–Vision transformer feature fusion framework for multi-class breast ultrasound image classification

Breast ultrasound BU imaging is widely used for detecting breast abnormalities because it is costeffective noninvasive and suitable for dense breast tissue However multiclass classification of BU images

A machine learning model for predicting ischemic and bleeding risk after percutaneous coronary intervention: Development and external validation

This study aimed to develop and externally validate a machine learningbased risk prediction model of ischemia and bleeding events in patients receiving percutaneous coronary intervention

A context-aware temporal modeling through unified multi-scale temporal encoding and hierarchical sequence learning for single-channel EEG sleep staging

Automatic sleep staging is a critical task in healthcare due to the global prevalence of sleep disorders This study focuses on singlechannel electroencephalography EEG a practical and widely available signal

Functional alterations of neutrophils from β-thalassemia patients exposed to Pythium insidiosum: An ex vivo study

Patients with thalassemia are highly susceptible to Pythium insidiosum the causative agent of human pythiosis a severe and often lifethreatening disease in tropical regions This vulnerability has been associated