Artificial Intelligence Medical Compendium

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

Showing 34,231 to 34,240 of 221,510 articles

Transcranial Doppler ultrasonography in geriatric anesthesia: moving toward personalized brain protection strategies.

Anesthesia and pain medicine
The increasing volume of geriatric surgical procedures presents a critical challenge: protecting the aging brain from perioperative complications such as postoperative delirium and postoperative cognitive dysfunction. Conventional anesthetic manageme... read more 

Artificial intelligence-based detection of acute postoperative airway complications following anterior cervical spine surgery: a retrospective imaging evaluation.

Asian spine journal
STUDY DESIGN: Retrospective imaging evaluation using an artificial intelligence (AI)-generated model. PURPOSE: To develop novel AI software for early prediction and identification of postoperative airway obstruction based on routine post-operative im... read more 

Technology Matters: Emerging technologies in clinical informatics to support child and adolescent mental healthcare safety.

Child and adolescent mental health
Electronic health records (EHRs) can support patient safety across medical settings but require thoughtful adaptation to serve specialty care. This article provides an overview of how EHRs intersect with safety in child and adolescent mental health c... read more 

Quantitative Coronary Atherosclerotic Plaque Burden From CCTA and the Benefit From Lipid-Lowering Medication.

Circulation. Cardiovascular imaging
BACKGROUND: We hypothesized that quantification of coronary atherosclerotic plaque burden by artificial intelligence-guided quantitative computed tomography can identify patients who derive outcome benefit from lipid-lowering medication (LLM). METHOD... read more 

Stability-Based Machine Learning Identifies a Minimal Two-Protein Serum Signature for Early Silicosis.

Journal of proteome research
BACKGROUND: The early diagnosis of silicosis, an irreversible fibrotic lung disease, is challenged by the low sensitivity of current radiological methods in early-stage disease and their susceptibility to interobserver variability. Consequently, a pr... read more 

A multimodal predictive model incorporating transcriptomic-guided blood biomarkers and clinical variables for sepsis-associated acute kidney injury.

Renal failure
Sepsis-associated acute kidney injury (SA-AKI) is a major complication in the intensive care unit (ICU), and early risk stratification remains challenging. This study developed a multimodal predictive model integrating clinical variables with transcr... read more 

Integrated Strategies for Nursing and Rehabilitation in Lung Cancer Patients.

Asia-Pacific journal of clinical oncology
This review delineates the pivotal role of nursing and rehabilitation in perioperative management and chemotherapy support for lung cancer patients, with a focus on complication prevention, nutritional support, pulmonary rehabilitation (PR), and the ... read more 

Accelerating the Design of High-Entropy Alloys for Hydrogen Storage via Generative Adversarial Networks.

Inorganic chemistry
High-entropy alloys (HEAs) have emerged as promising candidates for solid-state hydrogen storage, yet the vast compositional space poses a major challenge for targeted materials discovery. Here, we develop a deep generative framework based on generat... read more 

A Case Study: Testing of an Artificial Intelligence Chatbot Designed for Guiding and Assisting Participants at a Biobank Research Site.

Biopreservation and biobanking
This study investigated if improving a chatbot using user test feedback can enhance the perceived value of a chatbot for a specific biobanking use case. The chatbot was designed to guide participants in a research study around a biobank site to facil... read more 

Building Purpose-Driven Radiology Departments: Distributive and Servant Leadership in Action.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
Radiology is increasingly defined by interdependence: imaging value is created through tightly coupled relationships among radiologists, technologists, nurses, physicists, administrators, and referring clinicians, under escalating expectations for ac... read more