Multi-modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report Generation.

In response to the worldwide COVID-19 pandemic, advanced automated technologies have emerged as valuable tools to aid healthcare professionals in managing an increased workload by improving radiology report generation and prognostic analysis. This study proposes a Multi-modality Regional Alignment Network (MRANet), an explainable model for radiology report generation and survival prediction that focuses on high-risk regions. By learning spatial correlation in the detector, MRANet visually grounds region-specific descriptions, providing robust anatomical regions with a completion strategy.

The Emerging Role of Percutaneous Thermal Ablation in the Treatment of Thoracic Malignancies: A Review.

Thoracic malignancies pose a significant public health burden in the United States, with primary lung cancer accounting for nearly 25% of cancer deaths each year. Percutaneous thermal ablation (PTA) for the treatment of lung cancer has evolved from a novel oncologic strategy in the 1970s, to a limited therapeutic option in select patients through the early 2000s, into its current rapidly expanding role as an adjunct therapy, or even standalone treatment, for a diverse group of thoracic malignancies in patients with both localized and disseminated disease. Radiofrequency ablation (RFA) benefits from the largest clinical dataset and greater user experience, but its utility has been limited by a suboptimal heating mechanism in the setting of poor thermal conductive properties within the lung.