Artificial Intelligence Medical Compendium

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The effective treatment of bladder cancer depends on early evaluation through cystoscopy. Given the clinical importance of distinguishing the tumor grade, we report the application of the AI-assisted NBI Cystoscopy Diagnostic System (AINCDS). The AIN... read more 

BACKGROUND: Body image and eating behaviours are common areas of concern for early adolescents. Artificial Intelligence (AI) interactions are becoming commonplace, including with chatbots that provide human-like communication. Adolescents may prefer ... read more 

All-solid-state Li metal batteries (ASSLBs) are coming with sulfide solid-state electrolytes (S-SSEs) for superior Li+ conductivity, but irregular particles and interfaces lead to disorder Li+ flux in S-SSEs that hinder pure Li as an anode. Specially... read more 

OBJECTIVE: To use low-field MRI to produce reconstructions and 3D models of the cervix and to automate measurements for correlation with demographics and birth outcomes. DESIGN: Prospective cohort study. SETTING: KCL Advanced Imaging Centre, St Thoma... read more 

The diagnostic problem of grading evaluation of ultrasonic images of Metacarpophalangeal rheumatoid arthritis (RA) is mostly dependent on the skills of sonographers with training. A grading system is used to identify and evaluate the geometric and te... read more 

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BACKGROUND: Accurate pathological classification of lung cancer is essential for informing treatment strategies. However, invasive biopsy procedures are not feasible for high-risk patients or those with inaccessible lesions. This study aimed to devel... read more 

BACKGROUND: Predicting clinical and radiological outcomes of epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) in patients with non-small cell lung cancer (NSCLC) and brain metastases (BMs) is crucial for effective patient manag... read more