Artificial Intelligence Medical Compendium

The use of artificial intelligence (AI) in health technology assessment (HTA) is rapidly emerging and evolving worldwide (1;2). While many may tout the potential of AI to enhance efficiency, accuracy, and speed of HTA, these technologies also present... read more 

Genome foundation models hold great potential for advancing biological research, but modeling diverse complex genomes and generating controllable genome-scale sequences remain challenging. We present DeepD, a phylogeny-informed sparse mixture-of-expe... read more 

OBJECTIVE: Event-related potentials (ERPs) may provide objective neurophysiological markers for depression-assisted screening. We benchmarked structured ERP features and strictly paired ERP-audio fusion in small-sample, subject-level settings. APPROA... read more 

OBJECTIVES: Bladder cancer (BC) has a high recurrence rate, requiring invasive procedures such as cystoscopy and histopathological examination. Existing non-invasive methods, including urine cytology, fluorescence in situ hybridization (FISH), and tu... read more 

Targeted therapy has revolutionized the treatment of non-small cell lung cancer (NSCLC) patients harboring oncogenic alterations, and next-generation tyrosine kinase inhibitors (TKIs) significantly increase blood-brain barrier (BBB) penetration, lead... read more 

Lipid nanoparticles (LNPs) have transformed RNA therapeutics through their high delivery efficiency, scalable manufacturing, and favorable safety profiles, as demonstrated by COVID-19 mRNA vaccines and clinically approved small interfering RNA (siRNA... read more 

ObjectivePelvic congestion syndrome (PCS) is a vascular cause of chronic pelvic pain arising from ovarian and pelvic venous insufficiency, typically presenting as dull, aching pelvic pain that worsens with prolonged standing, physical activity, and t... read more 

Optical neural networks face a tradeoff between device footprint and computational expressivity: deep systems are bulky, whereas single-layer hardware lacks intrinsic depth and native negative-weight support. We experimentally demonstrate a single-la... read more 

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Surgical research increasingly relies on computational analysis of large clinical datasets, and major journals now request code availability statements for publication. Yet most surgical trainees and faculty receive no formal training in software ver... read more