Artificial Intelligence Medical Compendium

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

Showing 10,111 to 10,120 of 208,952 articles

Correction: AI-powered detection of cyberbullying in short-form video content: A hybrid deep learning framework.

PloS one
[This corrects the article DOI: 10.1371/journal.pone.0338799.]. read more 

DREAMER-S: Deep leaRning-Enabled Attention-based Multiple-instance approaches with Explainable Representations for Spatial biology.

PLoS computational biology
Identifying image features that associate strongly with diagnostic or prognostic classes in large-scale, multi-channel spatial imaging is challenging without pixel-level annotations. We present DREAMER-S, an attention-based multiple-instance learning... read more 

A hybrid machine learning and explainable AI framework for optimizing risk-based authentication.

PloS one
As online platforms continue to grow, the need for strong authentication mechanisms becomes increasingly important to protect sensitive information and networks. Risk-Based Authentication (RBA) is an adaptive approach that dynamically adjusts authent... read more 

Deepfake perpetrator conversation for adults with sexual abuse-related posttraumatic stress disorder: intervention development and multiple baseline study protocol.

European journal of psychotraumatology
Background: A conversation between a victim and a perpetrator of sexual abuse has the potential to reduce posttraumatic stress disorder (PTSD) symptoms in the victim. However, an actual conversation may not always be possible or feasible. Deepfake te... read more 

High-resolution automated mapping of potential Aedes larval container habitats using drone imagery and supervised machine learning in Dar es Salaam, Tanzania.

PLoS neglected tropical diseases
Larval source management is a key strategy to control the spread of Aedes-borne viral diseases including dengue, Zika, chikungunya, and yellow fever. However, locating potential larval habitats through traditional field methods is challenging and lab... read more 

Enhancing products performance evaluation through hybrid DistilRoBERTa and BiGRU models.

PloS one
Online reviews have a direct bearing on what prospective customers will choose to buy. Consumers need help to make effective use of online reviews for purchasing decisions. The current sentiment analysis methods often overlook the complexity and usab... read more 

Enhancing Osteosarcoma Survival Predictions: A Comparative Study of a Multicomponent-Model Machine Learning Approach Integrating SEER and NCDB Data Sets Versus Conventional Single-Data-Set Modeling.

The Journal of bone and joint surgery. American volume
BACKGROUND: Osteosarcoma treatment decisions require accurate prognostic assessment, yet utilization of machine learning (ML) models is problematic because performance degrades consistently when models are applied across data sets. Current single-dat... read more 

A large-scale framework for estimating soil carbon, nitrogen, pH, and salinity dynamics for 1985-2023.

Proceedings of the National Academy of Sciences of the United States of America
Soil is fundamental to sustaining life on Earth, providing ecosystem services, regulating climate, and playing a central role in global food systems. In the last decades, due to human activities and climate change, soils worldwide have experienced su... read more