Results 211 to 220 of about 20,583 (298)

STELLAR‐CB: Synthetic Temporal LSTM for Livestock Activity Recognition—Cow Behaviour

Veterinary Medicine and Science, Volume 12, Issue 4, July 2026.
This study introduces a novel framework combining LSTM networks with SMOTE to address class imbalance in precision livestock farming. It improves the detection of rare behaviours in livestock, achieving state‐of‐the‐art performance while reducing computational overhead, offering a practical, breed‐agnostic solution for enhancing automated behaviour ...
Ghufran Ahmed, Rauf Ahmed Shams Malick, Ahmad Sami Al‐Shamayleh, Muhammad Adnan Ayub, Usama Antuley, Twaha Ahmed Minai, Muhammad Faisal Khan, Muhammad Faraz Hyder, Muhammad Mubashir Khan, Adnan Akhunzada   +9 more
wiley   +1 more source

Quantitative comparison of explainable AI methods for interpreting deep learning-based classification of 3D gait kinematics. [PDF]

Sci Rep
Lan Z, Lempereur M, Aïssa-El-Bey A, Brochard S, Rousseau F.   +4 more
europepmc   +1 more source

Applications of ChatGPT in the Health Sector: A Systematic Literature Review

Expert Systems, Volume 43, Issue 7, July 2026.
ABSTRACT The integration of large language models, particularly ChatGPT, into healthcare has attracted increasing attention due to their potential to support medical education, clinical decision‐making, administrative workflows, patient communication and clinical documentation.
Alejandro Martínez‐Burgos, Elena Enamorado‐Díaz, Javier Jesús Gutiérrez‐Rodríguez, Julián A. García‐García   +3 more
wiley   +1 more source

A Proposed Participatory Framework for Explainable AI in mHealth: Mixed Methods Study Integrating User and Stakeholder Requirements. [PDF]

J Med Internet Res
Islam F, Islam A, Amin MA, Zaber M.
europepmc   +1 more source

Machine Learning‐Based Loan Approval Automation: Enhancing Efficiency, Accuracy and Fairness in Credit Decision‐Making

Expert Systems, Volume 43, Issue 7, July 2026.
ABSTRACT Traditional loan approval processes are manual, time‐consuming and susceptible to human bias. This research develops a machine learning‐based system to automate loan eligibility assessment while enhancing efficiency, accuracy and fairness in credit decision‐making. We developed and compared multiple supervised ML models—including Random Forest,
Mani Ghahremani, Hellen Amimo Otieno, Mishanil Kazreen, Stavros Shiaeles   +3 more
wiley   +1 more source

A systematic evaluation of explainable AI methods for high-dimensional transcriptome-based cancer survival prediction. [PDF]

Front Physiol
Zuo Y, Yang S, Zhao W.
europepmc   +1 more source

Do Humans and GAI See Eye to Eye? Implications of LLM Scoring Volatility in Supplier Evaluations

Journal of Business Logistics, Volume 47, Issue 3, July 2026.
ABSTRACT This study compares Generative Artificial Intelligence (GAI) to human procurement professionals on supplier evaluation tasks. Using Structural Topic Modeling (STM) on 123 government supplier bids from 31 projects solicited by the State of Ohio between January 2023 and December 2024, we compare evaluations from three reasoning models (o3, Grok ...
Finnegan A. McKinley, Anne E. Dohmen, Vincent E. Castillo   +2 more
wiley   +1 more source

Advancements, challenges, and prospects of explainable AI in sleep disordered breathing. [PDF]

Sleep Breath
Lisik D, Dinh T, Zou D.
europepmc   +1 more source

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

FEBS Open Bio, Volume 16, Issue 6, Page 1048-1059, June 2026.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

Explainable Artificial Intelligence in Healthcare: Current Landscape, Challenges, and Future Directions. [PDF]

Health Sci Rep
Shiddik MAB.
europepmc   +1 more source