Artificial Intelligence Medical Compendium

The multi-TI flow-sensitive alternating inversion recovery sequence is a common ASL technique for probing renal perfusion. However, traditional method for quantifying perfusion, bolus arrival time (BAT) and bolus length (BL) from the images faces cha... read more 

Data are crucial for machine learning (ML) applications, yet acquiring large datasets can be costly and timeconsuming, especially in complex, resource-intensive fields like biopharmaceuticals. A key process in this industry is upstream bioprocessing,... read more 

Intracellular optogenetics represents a rapidly advancing biotechnology that enables precise, reversible control of protein activity, signaling dynamics, and cellular behaviours using genetically encoded, light-responsive systems. Originally pioneere... read more 

The strong association between alcohol use disorder (AUD) and driving under the influence of alcohol (DUIA) suggests substantial overlaps across the behavioral, cognitive, and neurobiological domains. Taking advantage of the unsupervised machine lear... read more 

Hyperketonemia is a common metabolic disorder in early-lactation dairy cows that impairs milk performance and health. The gold-standard indicator for diagnosis is the blood metabolite BHB. However, measuring blood BHB on a large scale is cumbersome a... read more 

OBJECTIVES: Early detection of colorectal cancer is critical for improving prognosis. However, assessing invasion depth-distinguishing between superficial cancer (T1a) and deep submucosal invasive cancer (T1b)-remains challenging. Recently, artificia... read more 

Activation functions and their variable gradient action are pivotal in bridging artificial neural networks with the dynamic behavior of biological neurons. This study examines the dynamics of a Hopfield Neural Network (HNN) with heterogeneous activat... read more 

BACKGROUND AND OBJECTIVE: Heart disease is still the top driver of death worldwide, and developing accurate, interpretable, and efficient predictive systems is essential to enable early diagnosis in time for effective intervention. Although significa... read more 

BACKGROUND: Emerging research suggests that emotions alter the way people walk, suggesting gait data may serve as a potential source for emotion recognition. Compared to traditional modalities (i.e., facial expressions, speech), gait-based emotion de... read more 

While aligning large language models (LLMs) with human preferences can prevent undesired outputs, recent research indicates that jailbreak prompts can easily bypass such safeguards, resulting in the generation of prohibited content. To counteract att... read more