Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 48,481 to 48,490 of 224,199 articles

CSF proteomics identifies ADGRG1 as a predictive biomarker of intrathecal immune checkpoint inhibitor response in leptomeningeal metastasis.

Journal for immunotherapy of cancer
BACKGROUND: Leptomeningeal metastasis (LM) is a fatal complication of advanced cancer with limited therapeutic options and poor prognosis. Immune checkpoint inhibitors (ICIs) have shown promise in systemic disease, but intrathecal ICIs efficacy and i... read more 

Clinical Factors Associated With Current Relevance in Allergic Contact Dermatitis: Development of Predictive Models Based on Data From the Spanish Contact Dermatitis Register (REIDAC).

Contact dermatitis
BACKGROUND: Current relevance of positive patch-test reactions guides management in allergic contact dermatitis (ACD), yet its clinical predictors and the use of predictive models in clinical practice remain underused. OBJECTIVES: To identify demogra... read more 

Deciphering the Interfacial Catalysis of Metal-Oxide Nanocatalysts in CO2 Hydrogenation through a Machine Learning Approach.

Journal of the American Chemical Society
Understanding the structure-property relationship is of pivotal importance for the rational design of efficient solid catalysts yet persists as a significant challenge due to the inherent complexity of solid materials. Here, we present an efficient s... read more 

A New Dawn: Resident Recruitment in the United States in the Post-COVID Era.

Seminars in neurology
The widespread adoption of virtual residency interviews in response to the COVID-19 pandemic led to an explosion in literature comparing the pros and cons of virtual and in-person interviews, but also led to an explosion in already-high residency app... read more 

Artificial Intelligence in Analytical Chemistry: Towards Yet Undiscovered Opportunities.

Analytical chemistry
Artificial intelligence (AI) has become deeply embedded in analytical chemistry, supporting data processing, chemometric modeling, and experimental design. Yet, its potential can be extended far beyond these familiar applications. This Perspective ou... read more 

AI-assisted cryo-dose estimation and tissue injury modeling for assessing side effects in MRI-guided prostate cryoablation: a retrospective study.

Physics in medicine and biology
Focal therapy offers a middle ground between active surveillance and whole-gland treatment for patients with low- and intermediate-risk prostate cancer, aiming to eliminate tumor tissue while preserving surrounding structures. Among available fo... read more 

A biologically inspired neural network for optic flow-based reactive navigation with dual depth encoding.

Bioinspiration & biomimetics
Animals and humans rely on optic flow to navigate cluttered and unknown environments. While most previous studies have focused on how organisms achieve self-motion perception through optic flow information, biological neural networks for navigation b... read more 

Deep learning-based estimation of lung collapse in electrical impedance tomography: A simulation and phantom study.

Physiological measurement
Inhomogeneity of air volume distribution in the lungs of mechanically ventilated patients can lead to lung collapse and overdistention, increasing the risk of ventilator-induced lung injury. While Electrical Impedance Tomography (EIT) enables bedside... read more 

Investigating explainable arrhythmia classification using class-specific ensemble model from segmented ECG signals.

Medical engineering & physics
Accurate arrhythmia classification from short clinical ECGs is hard to achieve and explain. Prior studies are often single-lead, use uniform model fusion, or report point estimates without uncertainty. To address this, we propose a novel class-specif... read more 

Securing Federated Learning With Blockchain in the Medical Field: Systematic Literature Review.

Journal of medical Internet research
BACKGROUND: The exponential growth of medical data and advancements in artificial intelligence (AI) have accelerated the development of data-driven health care. However, the secure and efficient sharing of sensitive medical data across institutions r... read more