Artificial Intelligence Medical Compendium

The precise prediction of product distribution during crop biomass pyrolysis is critical for its valorization but remains challenging due to complex nonlinear interactions between feedstock heterogeneity and process parameters. This study developed a... read more 

In era of precision medicine, companion diagnostic (CDx) is prominent tool that links the gaps between diagnostics and therapeutics based on biomarker identification which helps to ensure which patient is more likely to benefit for specific treatment... read more 

Abdominal aortic aneurysms (AAAs) are progressive focal dilatations of the abdominal aorta. AAAs may rupture, with fatal consequences in >80% of cases. Current clinical guidelines recommend elective surgical repair when the maximum AAA diameter excee... read more 

While the underlying crosstalk effect between cathode and anode complicates the understanding of lithium metal degradation utilizing asymmetric (full)-cell data, employing a symmetric cell configuration enables isolation of contributions from specifi... read more 

PURPOSE: Transthyretin cardiac amyloidosis (ATTR-CM) is a progressive, underdiagnosed disease with high morbidity and mortality. While disease-modifying therapies (DMTs) slow progression, early treatment response markers remain scarce. This study ass... read more 

BACKGROUND: Clinical trials are essential for advancing cancer care, but identifying eligible patients in surgical clinics can be challenging due to the manual and time-consuming enrollment process. Artificial intelligence tools, such as large langua... read more 

Artificial intelligence (AI) powered mobile health (mHealth) apps are emerging as vital self-triage tools for skin cancer detection. By utilizing smartphone cameras, these apps analyze skin lesions to assess the risk and provide tailored care recomme... read more 

The paper explores the impact of artificial intelligence (AI) in medicine through a three-dimensional model of medical understanding, which encompasses understanding of disease (via the biomedical perspective), illness (through first-person experienc... read more 

BACKGROUND: Use of artificial intelligence chatbots in dental traumatology has increased. However, concerns regarding their reliability are yet to be addressed. This study aims to evaluate the accuracy of a new AI chatbot Dental Trauma Evo in respond... read more 

Atomically thin two-dimensional (2D) ceramics, such as monolayer hexagonal boron nitride (h-BN), present potential for disruptive advances in separations. However, sub-atomic scale separation of hydrogen isotopes (H+/D+) require near pristine 2D mate... read more