Artificial Intelligence Medical Compendium

Joint failures can disrupt gait coordination, velocity tracking, and body stability in quadruped robots by reducing the available control authority. This study investigates faults in which joints remain locked at fixed angles and presents Adjudicate ... read more 

BACKGROUND: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a complex illness lacking objective diagnostic biomarkers and clear pathophysiological understanding. Patients exhibit immune dysregulation and chronic inflammation reminiscen... read more 

Cardiovascular diseases are the most dominant cause of mortality across the entire world, claiming 17.9 million lives every year. According to recent trends, the mortality rate as a result of heart failure continues to increase particularly in low- a... read more 

Analyses routinely conducted in both fundamental research and biomedical studies often report aggregate signals derived from heterogeneous mixtures of cells. These mixtures reflect the intrinsic anatomical and functional complexity of the tissues and... read more 

BACKGROUND: Poststroke seizures (PSS) and poststroke epilepsy (PSE) are important neurological complications associated with poorer functional recovery, increased mortality, and reduced quality of life after stroke. Neuroimaging plays a central role ... read more 

T cell exhaustion is often viewed as a terminal state marked by irreversible loss of function during chronic infection and cancer. However, the rapid recovery of antitumor activity in clinical responders after PD-1 blockade suggests that some exhaust... read more 

An urgent requirement in chimeric antigen receptor (CAR) immune cell therapy [e.g., CAR-natural killer (NK) cells] for solid tumors is to engineer the cells for precise tumor targeting. Meanwhile, medical microrobots can be navigated toward specific ... read more 

BACKGROUND: Recent advancements in digital health technologies have led to the accumulation of large volumes of unstructured text data, particularly in electronic health records. Given that nursing documentation frequently includes detailed descripti... read more 

OBJECTIVE: Machine-learning models can distinguish acromegaly from controls in single photographs, but whether gradual facial change can be measured within the same person from ordinary photographs is unknown. We tested whether a person's face shifts... read more 

BACKGROUND: Clinicians spend a lot of time on electronic health record (EHR) documentation, often at the expense of direct patient interaction. Ambient listening technology uses AI to passively record and summarize clinical encounters. Although early... read more