Artificial Intelligence Medical Compendium

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

Showing 2,481 to 2,490 of 235,381 articles

Understanding cell fate decisions with temporal attention.

PLoS computational biology
Understanding non-genetic determinants of cell fate is critical for developing and improving cancer therapies, as genetically identical cells can exhibit divergent outcomes under the same treatment conditions. In this work, we present a deep learning... read more 

Strategic leadership in patient safety through AI-enabled fall prevention technology.

Nursing management
BACKGROUND: Inpatient falls present significant clinical and financial challenges, yet traditional prevention strategies, like bed alarms, often fail due to a multitude of reasons, such as alarm fatigue and high operational costs. PURPOSE: Evaluate t... read more 

Ambient Digital Scribes as Educational Mirrors: Closing the Feedback Gap in Physician Communication.

The American journal of bioethics : AJOB
Healthcare systems are rapidly adopting ambient digital scribe (ADS) technologies to reduce documentation burden and improve efficiency in clinical care. Although these systems are typically framed as technical tools that listen to patient dialogue, ... read more 

Learning dissipative chaotic dynamics with boundedness guarantees.

Proceedings of the National Academy of Sciences of the United States of America
Chaotic dynamics, commonly seen in weather systems and fluid turbulence, are characterized by their sensitivity to initial conditions, which makes accurate prediction challenging. Recent approaches have focused on developing data-driven models that a... read more 

Multidimensional vulnerabilities of informal settlements in the Urban South.

Proceedings of the National Academy of Sciences of the United States of America
Informal settlements are widespread and rapidly growing, often associated with high vulnerabilities. However, global-scale understanding on their spatial distribution and complexity of vulnerability is limited. Here, we delineate the informal settlem... read more 

Novel Tool to Predict Primary Tumor Location in the Setting of Metastatic Cancer With Unknown Primary.

JCO oncology practice
PURPOSE: This study aimed to develop and validate a tool to predict the primary tumor site in patients with metastatic cancer of unknown primary using demographic and clinical variables, including imaging-derived sites of metastasis, without patholog... read more 

AI advancements can advance environmental inequities and health harms.

Journal of the National Medical Association
In recent years, artificial intelligence (AI) is progressively being utilized in many industries. In order to meet the increasingly computational AI demands, more data centers are being developed. Unfortunately, health concerns related to climate cha... read more 

Predicting multidimensional quality of life among autistic people and people with intellectual disability in Saudi Arabia: An explainable machine-learning study.

Research in developmental disabilities
BACKGROUND: Quality of life (QoL) among autistic people with or without co-occurring intellectual disability (ID) and people with ID without autism is multidimensional and shaped by interacting individual and contextual factors. METHODS: A multi-regi... read more 

Patch-based querying identifies structures of interest in electron microscopy.

Computers in biology and medicine
Volume electron microscopy (vEM) has emerged as an essential sensing technique in biomedical research, allowing the three-dimensional imaging of biological cells and tissues at nanometer-scale resolution. The ability to generate extensive datasets ha... read more