Artificial Intelligence Medical Compendium

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

Showing 2,671 to 2,680 of 167,235 articles

HealthFlow: A Self-Evolving AI Agent with Meta Planning for Autonomous Healthcare Research

arXiv
The efficacy of AI agents in healthcare research is hindered by their reliance on static, predefined strategies. This creates a critical limitation: agents can become better tool-users but cannot learn to become better strategic planners, a crucial... read more 

Leveraging geographic information system for dengue surveillance: a scoping review.

Tropical medicine and health
BACKGROUND: Vector-borne diseases caused by Aedes mosquitoes remain a major public health concern across tropical and subtropical regions. Geographic Information Systems (GIS) have become integral in surveillance by enabling spatial analysis, risk ma... read more 

Digital Twin Technology In Radiology.

Journal of imaging informatics in medicine
A digital twin is a computational model that provides a virtual representation of a specific physical object, system, or process and predicts its behavior at future time points. These simulation models form computational profiles for new diagnosis an... read more 

Colorimetric detection of bisphenol A in water: a smartphone-based sensor using inverse opal molecularly imprinted photonic crystal hydrogel.

The Analyst
Molecularly imprinted photonic crystal hydrogel (MIPCH) serves as a highly effective platform for the sensitive and selective detection of various analyte molecules. In this study, we present a smartphone-based inverse opal MIPCH (IOMIPCH) sensor des... read more 

varCADD: large sets of standing genetic variation enable genome-wide pathogenicity prediction.

Genome medicine
BACKGROUND: Machine learning and artificial intelligence are increasingly being applied to identify phenotypically causal genetic variation. These data-driven methods require comprehensive training sets to deliver reliable results. However, large unb... read more 

ByteGen: A Tokenizer-Free Generative Model for Orderbook Events in Byte Space

arXiv
Generative modeling of high-frequency limit order book (LOB) dynamics is a critical yet unsolved challenge in quantitative finance, essential for robust market simulation and strategy backtesting. Existing approaches are often constrained by simpli... read more 

Framework to Select Multi-Cancer Detection Assays in the National Cancer Institute's Vanguard Study.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
BACKGROUND: The Cancer Screening Research Network (CSRN) is a new clinical trials network funded by the National Cancer Institute. The first CSRN study, the Vanguard Study, will assess the feasibility of using multi-cancer detection (MCD) tests in fu... read more 

Deep-learning-based gene perturbation effect prediction does not yet outperform simple linear baselines.

Nature methods
Recent research in deep-learning-based foundation models promises to learn representations of single-cell data that enable prediction of the effects of genetic perturbations. Here we compared five foundation models and two other deep learning models ... read more 

Novel artificial intelligence algorithm for soft tissue balancing and bone cuts in robotic total knee arthroplasty improves accuracy and surgical duration.

Arthroplasty (London, England)
BACKGROUND: Robotic Total Knee Arthroplasty (rTKA) has become increasingly popular. Intraoperative manual planning of femur and tibia implant positions in all degrees of freedom to achieve surgeon-defined targets and limits of bone cuts, gaps, and al... read more