Public Health & Policy

Work Force

Latest AI and machine learning research in work force for healthcare professionals.

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A Multi-Layered Large Language Model Framework for Disease Prediction

Social telehealth has revolutionized healthcare by enabling patients to share symptoms and receive...

GiantHunter: Accurate detection of giant virus in metagenomic data using reinforcement-learning and Monte Carlo tree search

Motivation: Nucleocytoplasmic large DNA viruses (NCLDVs) are notable for their large genomes and e...

Force-Based Robotic Imitation Learning: A Two-Phase Approach for Construction Assembly Tasks

The drive for efficiency and safety in construction has boosted the role of robotics and automatio...

Design and Implementation of a Psychiatry Resident Training System Based on Large Language Models

Mental disorders have become a significant global public health issue, while the shortage of psych...

TLXML: Task-Level Explanation of Meta-Learning via Influence Functions

The scheme of adaptation via meta-learning is seen as an ingredient for solving the problem of dat...

InsTALL: Context-aware Instructional Task Assistance with Multi-modal Large Language Models

The improved competence of generative models can help building multi-modal virtual assistants that...

Can open source large language models be used for tumor documentation in Germany? -- An evaluation on urological doctors' notes

Tumor documentation in Germany is largely done manually, requiring reading patient records and ent...

Med-R$^2$: Crafting Trustworthy LLM Physicians via Retrieval and Reasoning of Evidence-Based Medicine

Large Language Models (LLMs) have exhibited remarkable capabilities in clinical scenarios. Despite...

A New Formulation of Lipschitz Constrained With Functional Gradient Learning for GANs

This paper introduces a promising alternative method for training Generative Adversarial Networks ...

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Embedding-Driven Diversity Sampling to Improve Few-Shot Synthetic Data Generation

Accurate classification of clinical text often requires fine-tuning pre-trained language models, a...

TSVC:Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval

Cross-modal retrieval maps data under different modality via semantic relevance. Existing approach...

Exploring the Use of Contrastive Language-Image Pre-Training for Human Posture Classification: Insights from Yoga Pose Analysis

Accurate human posture classification in images and videos is crucial for automated applications a...

DivTrackee versus DynTracker: Promoting Diversity in Anti-Facial Recognition against Dynamic FR Strategy

The widespread adoption of facial recognition (FR) models raises serious concerns about their pote...

EpiCoder: Encompassing Diversity and Complexity in Code Generation

Existing methods for code generation use code snippets as seed data, restricting the complexity an...

SALE-Based Offline Reinforcement Learning with Ensemble Q-Networks

In this work, we build upon the offline reinforcement learning algorithm TD7, which incorporates S...

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Sentiment-guided Commonsense-aware Response Generation for Mental Health Counseling

The crisis of mental health issues is escalating. Effective counseling serves as a critical lifeli...

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Dr. Tongue: Sign-Oriented Multi-label Detection for Remote Tongue Diagnosis

Tongue diagnosis is a vital tool in Western and Traditional Chinese Medicine, providing key insigh...

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