Artificial Intelligence Medical Compendium

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

Showing 45,661 to 45,670 of 224,055 articles

Domain adaptation for low-dose CT denoising via pretraining and self-supervised fine-tuning.

Journal of X-ray science and technology
Deep learning-based methods have become the dominant approach for low-dose CT (LDCT) denoising. However, their performance often degrades on cross-domain datasets due to domain gaps, highlighting the need for effective domain adaptation techniques. W... read more 

Rapid Diagnosis of Bacteremia in Febrile Pediatric Oncology Patients via Host-Response Infrared Spectroscopy of Blood and Machine Learning.

Analytical chemistry
Bacteremia is a life-threatening complication and a leading cause of sepsis and septic shock in patients. Conventional diagnostic methods, such as blood culture, remain the clinical gold standard but require 24-72 h, often necessitating the empirical... read more 

CO2 Capture from Flue Gas: A High-Fidelity Force Field and Machine Learning Framework for Adsorbent Discovery.

Journal of chemical theory and computation
CO2 from flue gas is central to mitigating fossil-fuel-derived emissions, where adsorbent performance directly dictates process energy efficiency and process cost. Although machine learning (ML) has emerged as a powerful tool for accelerating adsorbe... read more 

The feedback loop of social media, AI, and scientific definitions in clinical and counseling psychology: A utilitarian perspective.

The American psychologist
The rapid evolution of digital algorithms has transformed the way psychological concepts are disseminated and understood. While the feedback loop between public discourse and psychological terminology has always existed, social media and artificial i... read more 

JAX Animal Behavior System (JABS), a genetics-informed, end-to-end advanced behavioral phenotyping platform for the laboratory mouse.

eLife
Automated detection of complex animal behavior remains a challenge in neuroscience. Developments in computer vision have greatly advanced automated behavior detection and allow high-throughput preclinical and mechanistic studies. An integrated hardwa... read more 

Nature meets machine: the AI renaissance in natural product drug discovery.

Natural products and bioprospecting
Natural products (NPs) have long served as a cornerstone of drug discovery, yielding landmark therapeutics such as paclitaxel and artemisinin and providing sustained access to biologically relevant chemical space. Despite this legacy, NP-based discov... read more 

ARIMA-based forecasting of cerebral physiologic signals in acute traumatic brain injury: a CAnadian high-resolution TBI (CAHR-TBI) cohort study.

Intensive care medicine experimental
BACKGROUND: Traumatic brain injury (TBI) remains a major global health issue, with limited progress in reducing morbidity and mortality for TBI patients in need of sedation and intensive care. This has led to increased focus on the mechanisms of seco... read more 

Deep learning-based identification and maturation assessment of the zygomaticomaxillary suture in cone-beam computed tomography images.

Progress in orthodontics
OBJECTIVE: This study addresses maxillary deficiency management by developing a deep learning-based system for zygomaticomaxillary suture assessment. As the maturation status serves as a pivotal indicator for optimal maxillary protraction timing, its... read more 

A practical 10-step recipe for conducting radiomic studies.

European radiology experimental
Radiomics is a growing field in medical imaging that transforms images into high-dimensional quantitative data, offering insights into disease diagnosis, prognosis, and treatment planning. Using advanced computational techniques, radiomics uncovers p... read more