Artificial Intelligence Medical Compendium

We focus on exploring the inherent energy flow for time series prediction in this paper, i.e., we consider the inherent energy of time series data as a sequence measuring properties such as fluctuations, oscillations, and trends. Distinctive with mai... read more 

Artificial intelligence (AI)-assisted thermostability prediction of proteins can significantly alleviate the burden of mutation screening, thereby enhancing the efficiency of protein engineering. To further improve prediction accuracy and shorten the... read more 

Large language models (LLMs) require domain-specific fine-tuning for real-world deployment, yet face critical barriers of data privacy and computational constraints. Federated learning (FL) provides an indispensable solution by enabling collaborative... read more 

Large language models (LLMs) learn massive knowledge through pre-training, and they have demonstrated strong reasoning capabilities by leveraging the knowledge. However, LLMs often make mistakes due to the failure of using necessary and sufficient kn... read more 

Brain tumors represent a significant neurological challenge, affecting individuals across all age groups. Accurate and timely diagnosis of tumor types is critical for effective treatment planning. Magnetic Resonance Imaging (MRI) remains a primary di... read more 

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Biomechanical analysis is essential for assessing subjects interacting with robotic setups and platforms. However, in industrial scenarios, workers' biomechanics are assessed mainly through questionnaires and scales which provide limited objectivity.... read more 

This critical review explores two interrelated trends: the rapid increase in studies on machine learning (ML) applications within health informatics and the growing concerns about the reproducibility of these applications across different healthcare ... read more 

OBJECTIVE: Half of all adult emergency department (ED) visits with a complaint of dyspnea involve acute heart failure (AHF), exacerbation of chronic obstructive pulmonary disease (eCOPD), or pneumonia, which are often misdiagnosed. We aimed to create... read more 

Dysregulated microRNAs (miRNAs) play a significant role in cancer development and metastasis. In literature, miRNAs have been used for the survival prediction of different types of cancers using AI. Although AI is useful for diagnosis and prognosis p... read more