AIMC Topic: Prospective Studies

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The critical effects of self-management strategies on predicting cancer survivors' future quality of life and health status using machine learning techniques.

PloS one
Despite the significance of enhancing the quality of life (QoL) and overall health status (including physical, mental, social, and spiritual well-being) among individuals who have survived cancer, the existing prediction model for QoL and health stat...

Development and validation of a diagnostic prediction model for pancreatic ductal adenocarcinoma: VAPOR 1, protocol for a prospective multicentre case-control study.

BMJ open
INTRODUCTION: Pancreatic ductal adenocarcinoma (PDAC) continues to have extremely poor patient outcomes, unlike other cancer types which have seen significant improvements in their treatments and survival. A major contributing factor is that PDAC is ...

Robot-assisted gait training after severe traumatic brain injury for walking ability and social participation: protocol for a feasibility study.

BMJ open
INTRODUCTION: Traumatic brain injury (TBI) is a traumatic head injury that can lead to gait-related disabilities, and exoskeleton training may be beneficial for the recovery of this function in these patients. The objective of this study is to determ...

Young infants with bronchiolitis at low risk of respiratory deterioration in an urban, academic emergency department: prospective cohort study protocol.

BMJ open
INTRODUCTION: Bronchiolitis, a viral lower respiratory tract infection, is the leading cause of hospitalisation for infants, with healthcare utilisation highest among young infants (aged ≤90 days). Clinical models to predict respiratory deterioration...

Circulating proteins and metabolites panel for noninvasive preoperative diagnosis of epithelial ovarian cancer.

BMC medicine
BACKGROUND: Existing biomarkers for epithelial ovarian cancer (EOC) have demonstrated limited sensitivity and specificity. This study aimed to investigate plasma protein and metabolite characteristics of EOC and identify novel biomarker candidates fo...

Development and validation of a predictive model for new HIV infection screening among persons 15 years and above in primary healthcare settings in Kenya: a study protocol.

BMJ health & care informatics
INTRODUCTION: This study seeks to determine incidence, comorbidities and drivers for new HIV infections to develop, test and validate a risk prediction model for screening for new cases of HIV.

Predictive model integrating deep learning and clinical features based on ultrasound imaging data for surgical intervention in intussusception in children younger than 8 months.

BMJ open
OBJECTIVES: The objective of this study was to identify risk factors for enema reduction failure and to establish a combined model that integrates deep learning (DL) features and clinical features for predicting surgical intervention in intussuscepti...

AI-Based EMG Reporting: A Randomized Controlled Trial.

Journal of neurology
BACKGROUND AND OBJECTIVES: Accurate interpretation of electrodiagnostic (EDX) studies is essential for the diagnosis and management of neuromuscular disorders. Artificial intelligence (AI) based tools may improve consistency and quality of EDX report...

Integrating miRNA profiling and machine learning for improved prostate cancer diagnosis.

Scientific reports
Prostate cancer (PCa) diagnosis remains challenging due to overlapping clinical features with benign prostatic hyperplasia (BPH) and limitations of existing diagnostic tools like PSA tests, which yield high false-positive rates. This study investigat...