Artificial Intelligence Medical Compendium

BACKGROUND: Neoadjuvant therapy can improve the survival outcomes of patients with borderline resectable pancreatic cancer (BRPC). However, standard neoadjuvant regimens remain lacking. This study evaluated the clinical feasibility of tislelizumab pl... read more 

The arrival of publicly-accessible generative-AI tools, such as OpenAI's ChatGPT, has significantly disrupted standard practice in education, research, and publishing. Academic publishers and journals, in particular, have responded by adopting polici... read more 

A growing body of evidence indicates that microRNAs (miRNAs) play essential roles in cancer progression, therapy, and drug resistance. They are increasingly recognized as promising therapeutic targets for overcoming cancer drug resistance. However, e... read more 

Computed Tomography (CT) is one of the largest contributors to radiation exposure from medical imaging, which can induce DNA damage and increase cancer risk. Reducing CT radiation dose to improve patient safety inherently increases image noise and ar... read more 

IMPORTANCE: Phenobarbital use for alcohol withdrawal syndrome is increasing, but its effectiveness and safety have largely been compared with lorazepam rather than against more pharmacokinetically similar long-acting, self-tapering benzodiazepines su... read more 

OBJECTIVE: Sleep disorders are frequent but undercharacterized comorbidities in developmental and epileptic encephalopathies (DEEs). We aimed to estimate the frequency, spectrum, and burden of sleep disturbances across genetic DEE subtypes using real... read more 

Online learning in nonstationary environments is essential for data-stream applications, yet its reliability is often compromised by the coexistence of concept drift and verification latency. Delayed labels may introduce temporal inconsistency in mod... read more 

The integration of Artificial Intelligence (AI) into psychiatry is progressing rapidly, with promising yet underexplored applications in suicide prevention. While most existing studies have focused on suicide risk prediction, AI could be applied more... read more 

BackgroundOccupational accidents in open-pit mining remain a significant workplace safety and public health concern due to hazardous environmental conditions, high-risk tasks, and complex human-organizational interactions. Data-driven risk modeling m... read more 

INTRODUCTION: Electrocardiographic (ECG) criteria for left atrial enlargement (LAE) serve as clinical surrogates for structural and hemodynamic left atrial (LA) overload. Their diagnostic performance compared to echocardiography remains suboptimal, a... read more