Artificial Intelligence Medical Compendium

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

Showing 2,011 to 2,020 of 213,633 articles

Can a history of crop rotations improve the prediction of soil organic carbon in the Andes? integrating machine learning multi-annual crop classification as a proxy of soil management.

PloS one
Soil organic carbon (SOC) is a crucial component related to various processes that ensure soil health and function. Its modeling is vital for assessing and monitoring soil degradation caused by the potential impact of agricultural activities.This stu... read more 

Publicly Accessible Large Language Model Responses to Frequently Asked Questions About Spondylodiscitis: Preliminary Expert Evaluation.

Journal of medical Internet research
BACKGROUND: Patients increasingly use large language models (LLMs) to obtain medical information, but the quality of LLM-generated information on complex spinal infections such as spondylodiscitis remains uncertain. Existing evaluations in spine surg... read more 

AI-Enhanced Predictive Analytics to Optimize Tele-Oncology Implementation in Rural Settings: Scoping Review.

JMIR cancer
BACKGROUND: Tele-oncology addresses geographic barriers to cancer care, but implementation challenges persist in rural settings. AI-enhanced predictive analytics offer opportunities for optimizing deployment through personalized, data-driven strategi... read more 

Preferred synthesis of armchair transition metal dichalcogenide nanotubes.

Science (New York, N.Y.)
Nanotubes represent an important class of crystalline materials but controlling their structures, particularly chiralities, remains a fundamental challenge. In this work, we report a strategy for synthesizing transition-metal dichalcogenide nanotubes... read more 

Structure and evolution-guided design of minimal RNA-guided nucleases.

Science (New York, N.Y.)
The design of RNA-guided nucleases with properties not limited by evolution can expand programmable genome-editing capabilities. However, generating diverse multidomain proteins with robust enzymatic properties remains challenging. Here, we use a pro... read more 

AI in scientific publishing: Slower, worse, and more expensive.

Science (New York, N.Y.)
There's a saying in the management world, popularized by NASA administrator Daniel Goldin in the 1990s, that the goal of technological improvements is to make products faster, better, and cheaper. Although this strategy had some success in the aerosp... read more 

Reprogramming synthesis.

Science (New York, N.Y.)
General-purpose artificial intelligence agents are at work in the materials chemistry laboratory. read more 

The Therabot will see you now.

Science (New York, N.Y.)
Generative artificial intelligence can scale precision evidence-based psychotherapy. read more 

An Acceptance Criteria Framework for Determining the Implementation Fit of Custom Large Language Models in Public Health Interventions.

Journal of medical Internet research
Large language models (LLMs) are increasingly embedded in clinical and population health workflows, including conversational agents such as health chatbots. As chatbots evolve from rule-based approaches to hybrid and LLM-enabled designs, risks and co... read more 

Familywise Feature Importance Stability in Chemical and Materials Machine Learning.

Journal of chemical information and modeling
While feature importance analysis in chemical and materials machine learning can often be sensitive to both the predictive model and the attribution rule, the robustness of these rankings is rarely quantified before they are used to gain physical ins... read more