Latest AI and machine learning research in product alert for healthcare professionals.
Vision loss compromises the quality of life of millions of people worldwide. Currently, vision-resto...
To improve safety in Large Language Models (LLMs) we can either perform post-training alignment or e...
Background Large Language Models (LLMs) are increasingly explored for pharmacovigilance tasks, inclu...
Current VLM evaluations often conflate language priors with genuine spatial reasoning. To address th...
Medical device recalls are a critical regulatory mechanism for protecting patient safety. The growin...
General-purpose models often struggle to reliably identify and understand real-world multimodal risk...
Background: Manual review of 30-day hospital readmissions can identify actionable quality and safety...
Curvilinear object segmentation, including vessels and cracks, is challenging due to extreme spatial...
The clinical and molecular heterogeneity observed in amyotrophic lateral sclerosis (ALS) presents a ...
Drug-induced liver injury (DILI) remains one of the most pressing challenges in drug development, co...
With 890,000 annual new cases globally, head and neck squamous cell carcinoma has one of the highest...
Fine-tuning can adapt pretrained medical imaging models to new clinical datasets, but device-specifi...
Abstract Purpose Radiologic surveillance is essential for oropharyngeal cancer (OPC) survivors, guid...
Reinforcement learning (RL) post-training of Diffusion Transformers (DiTs) is prohibitively expensiv...
Background Drug-tolerant persister (DTP) cell states have been implicated in relapse across multiple...
Distinguishing causal adverse drug events (ADEs) from spurious correlations remains a central challe...
Standard on-policy distillation (OPD) for large language models estimates the reverse-KL objective u...
Abstract Purpose: Brain metastases (BM) far exceed primary CNS tumours and constitute the majority w...
Deep neural networks have achieved strong performance in medical image classification, but often wor...
Scientific reasoning models for biology combine language models with foundation models trained on mu...
Large Language Models (LLMs) are increasingly deployed in healthcare settings, yet their tendency to...