Public Health & Policy

Clinical Trials

Latest AI and machine learning research in clinical trials for healthcare professionals.

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Multimodal deep learning for predicting PD-L1 biomarker and clinical immunotherapy outcomes of esophageal cancer.

Although the immune checkpoint inhibitors (ICIs) have demonstrated remarkable anti-tumor efficacy in...

Intelligent Robot Interventions for People With Dementia: Systematic Review and Meta-Analysis of Randomized Controlled Trials.

BACKGROUND: The application of intelligent robots in therapy is becoming more and more important for...

Fine-Tuned Deep Transfer Learning Models for Large Screenings of Safer Drugs Targeting Class A GPCRs.

G protein-coupled receptors (GPCRs) remain a focal point of research due to their critical roles in ...

Power-free knee rehabilitation robot for home-based isokinetic training.

Robot-assisted isokinetic training has been widely adopted for knee rehabilitation. However, existin...

Human Reviewers' Ability to Differentiate Human-Authored or Artificial Intelligence-Generated Medical Manuscripts: A Randomized Survey Study.

OBJECTIVE: To assess the ability of humans to differentiate human-authored vs artificial intelligenc...

A systematic review of large language model (LLM) evaluations in clinical medicine.

BACKGROUND: Large Language Models (LLMs), advanced AI tools based on transformer architectures, demo...

Continuous nursing symptom management in cancer chemotherapy patients using deep learning.

To assess the efficacy of a deep learning platform for managing symptoms in chemotherapy patients, a...

AI anxiety and knowledge payment: the roles of perceived value and self-efficacy.

BACKGROUND: The integration of Artificial Intelligence (AI) into daily life raises significant chall...

A machine learning approach to predict treatment efficacy and adverse effects in major depression using CYP2C19 and clinical-environmental predictors.

BACKGROUND: Major depressive disorder (MDD) is among the leading causes of disability worldwide and ...

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