Public Health & Policy

Clinical Trials

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

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Broadening the Net: Overcoming Challenges and Embracing Novel Technologies in Lung Cancer Screening.

Lung cancer is one of the leading causes of cancer-related mortality worldwide, with most cases diag...

Jun 2025 40334182
A deployment safety case for AI-assisted prostate cancer diagnosis.

Deep learning (DL) has the potential to deliver significant clinical benefits. In recent years, an i...

Jun 2025 40345136
Artificial intelligence applications in rare and intractable diseases: Advances, challenges, and future directions.

Rare and intractable diseases affect an estimated 3.5% to 5.9% of the global population but remain l...

May 2025 40485885
Bootstrapping LLM Robustness for VLM Safety via Reducing the Pretraining Modality Gap

Ensuring Vision-Language Models (VLMs) generate safe outputs is crucial for their reliable deploym...

UPP: Unified Path Planner with Adaptive Safety and Optimality

We are surrounded by robots helping us perform complex tasks. Robots have a wide range of applicat...

AgentAlign: Navigating Safety Alignment in the Shift from Informative to Agentic Large Language Models

The acquisition of agentic capabilities has transformed LLMs from "knowledge providers" to "action...

Prediction of clinical stages of cervical cancer via machine learning integrated with clinical features and ultrasound-based radiomics.

To investigate the prediction of a model constructed by combining machine learning (ML) with clinica...

May 2025 40442164
GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control

Recent advancements in world models have revolutionized dynamic environment simulation, allowing s...

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control

Recent advancements in world models have revolutionized dynamic environment simulation, allowing s...

Test-Time Immunization: A Universal Defense Framework Against Jailbreaks for (Multimodal) Large Language Models

While (multimodal) large language models (LLMs) have attracted widespread attention due to their e...

SAGE-Eval: Evaluating LLMs for Systematic Generalizations of Safety Facts

Do LLMs robustly generalize critical safety facts to novel situations? Lacking this ability is dan...

Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen

Traffic safety science has long been hindered by a fundamental data paradox: the crashes we most w...

SOSBENCH: Benchmarking Safety Alignment on Scientific Knowledge

Large language models (LLMs) exhibit advancing capabilities in complex tasks, such as reasoning an...

OVERT: A Benchmark for Over-Refusal Evaluation on Text-to-Image Models

Text-to-Image (T2I) models have achieved remarkable success in generating visual content from text...

Exploring the Application Capability of ChatGPT as an Instructor in Skills Education for Dental Medical Students: Randomized Controlled Trial.

BACKGROUND: Clinical operative skills training is a critical component of preclinical education for ...

May 2025 40424023
Benign-to-Toxic Jailbreaking: Inducing Harmful Responses from Harmless Prompts

Optimization-based jailbreaks typically adopt the Toxic-Continuation setting in large vision-langu...

VSCBench: Bridging the Gap in Vision-Language Model Safety Calibration

The rapid advancement of vision-language models (VLMs) has brought a lot of attention to their saf...

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