Artificial Intelligence Medical Compendium

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

Showing 4,271 to 4,280 of 173,705 articles

SCORCH2: A Generalized Heterogeneous Consensus Model for High-Enrichment Interaction-Based Virtual Screening.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
The discovery of effective therapeutics remains a complex, costly, and time-consuming endeavor, characterized by high failure rates and significant resource investments. A central bottleneck in early-stage drug discovery is identifying suitable hit c... read more 

Evaluating Retrieval-Augmented Generation vs. Long-Context Input for Clinical Reasoning over EHRs

arXiv
Electronic health records (EHRs) are long, noisy, and often redundant, posing a major challenge for the clinicians who must navigate them. Large language models (LLMs) offer a promising solution for extracting and reasoning over this unstructured t... read more 

Artificial Intelligence in Systematic Literature Reviews: Social Work Ethics, Application, and Feasibility.

Journal of evidence-based social work (2019)
PURPOSE: This study explores the alignment between themes identified by Artificial Intelligence (AI)-powered tools and those from a traditional, manual scoping review, focusing on generative AI's role in streamlining time-intensive research processes... read more 

Quantum Transport Informed Machine Learning Mapping of Current-Voltage Characteristics for Precision Deoxyribonucleic Acid Sequencing.

The journal of physical chemistry. A
Quantum tunneling-based DNA sequencing promises to transform genomic analysis by improving long-read accuracy and enabling high-throughput sequencing, particularly the precise measurement of electrical conductance and tunneling current signatures ass... read more 

Precise and dexterous robotic manipulation via human-in-the-loop reinforcement learning.

Science robotics
Robotic manipulation remains one of the most difficult challenges in robotics, with approaches ranging from classical model-based control to modern imitation learning. Although these methods have enabled substantial progress, they often require exten... read more 

TCFNet: Bidirectional face-bone transformation via a Transformer-based coarse-to-fine point movement network

arXiv
Computer-aided surgical simulation is a critical component of orthognathic surgical planning, where accurately simulating face-bone shape transformations is significant. The traditional biomechanical simulation methods are limited by their computat... read more 

Evaluating forecasting models for health service demand during the COVID-19 pandemic.

Scientific reports
We combine daily internet search data and monthly information on medical expenditures for anti-depressants to test two distinct hypotheses in eight Australian states, covering the period from 2020 to 2022. First, whether using daily search data can h... read more 

Early photoreceptor assessment as a predictor for visual acuity gain after vitrectomy for macula-off retinal detachment.

International journal of retina and vitreous
BACKGROUND: Visual recovery after macula-off rhegmatogenous retinal detachment (RRD) remains limited in many cases, largely due to photoreceptor damage. This study aimed to assess the predictive value of early outer retinal findings on optical cohere... read more 

Accurate machine learning model for human embryo morphokinetic stage detection.

Journal of assisted reproduction and genetics
PURPOSE: The ability to detect, monitor, and precisely time the morphokinetic stages of human pre-implantation embryo development plays a critical role in assessing their viability and potential for successful implantation. Therefore, there is a need... read more 

Enhancing classification of a large lower-limb motor imagery EEG dataset for BCI in knee pain patients.

Scientific data
Chronic knee osteoarthritis pain significantly impacts patients' quality of life and motor function. While motor imagery (MI)-based brain-computer interface (BCI) systems have shown promise in rehabilitation, their application to lower-limb condition... read more