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Surveys

Latest AI and machine learning research in surveys for healthcare professionals.

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Improving Bond Dissociations of Reactive Machine Learning Potentials through Physics-Constrained Data Augmentation.

In the field of computational chemistry, predicting bond dissociation energies (BDEs) presents well-...

Foundation Model for Advancing Healthcare: Challenges, Opportunities and Future Directions.

Foundation model, trained on a diverse range of data and adaptable to a myriad of tasks, is advancin...

A Survey of Few-Shot Learning for Biomedical Time Series.

Advancements in wearable sensor technologies and the digitization of medical records have contribute...

Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions.

Breast cancer has reached the highest incidence rate worldwide among all malignancies since 2020. Br...

Advanced sleep disorder detection using multi-layered ensemble learning and advanced data balancing techniques.

Sleep disorder detection has greatly improved with the integration of machine learning, offering enh...

Ethical and security challenges in AI for forensic genetics: From bias to adversarial attacks.

Forensic scientists play a crucial role in assigning probabilities to evidence based on competing hy...

Automated vs manual cardiac MRI planning: a single-center prospective evaluation of reliability and scan times.

OBJECTIVES: Evaluating the impact of an AI-based automated cardiac MRI (CMR) planning software on pr...

Functional Disability and Psychological Impact in Headache Patients: A Comparative Study Using Conventional Statistics and Machine Learning Analysis.

: Recent research has focused on exploring the relationships between various factors associated with...

Reliability of artificial intelligence-driven markerless motion capture in gait analyses of healthy adults.

The KinaTrax markerless motion capture system, used extensively in the analysis of baseball pitching...

On spectral bias reduction of multi-scale neural networks for regression problems.

In this paper, we derive diffusion equation models in the spectral domain to study the evolution of ...

National survey on data governance and digital surgery: Challenges and opportunities for surgeons in the era of artificial intelligence.

INTRODUCTION: This study evaluates the knowledge of Spanish surgeons regarding data governance and D...

Addressing Missing Data Challenges in Geriatric Health Monitoring: A Study of Statistical and Machine Learning Imputation Methods.

In geriatric healthcare, missing data pose significant challenges, especially in systems used for fr...

Machine learning algorithms for predicting PTSD: a systematic review and meta-analysis.

This study aimed to compare and evaluate the prediction accuracy and risk of bias (ROB) of post-trau...

Covariate Model Selection Approaches for Population Pharmacokinetics: A Systematic Review of Existing Methods, From SCM to AI.

A growing number of covariate modeling methods have been proposed in the field of popPK modeling, bu...

The application of machine learning approaches to classify and predict fertility rate in Ethiopia.

Integrating machine learning (ML) models into healthcare systems is a rapidly evolving field with th...

Predicting stunting status among under-5 children in Rwanda using neural network model: Evidence from 2020 Rwanda demographic and health survey.

BACKGROUND: Stunting is a serious public health concern in Rwanda, affecting around 33.3% of childre...

Cell clone selection-impact of operation modes and medium exchange strategies on clone ranking.

Bioprocessing has been transitioning from batch to continuous processes. As a result, a considerable...

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