Synergizing Deep Learning-Enabled Preprocessing and Human-AI Integration for Efficient Automatic Ground Truth Generation.

The progress of incorporating deep learning in the field of medical image interpretation has been greatly hindered due to the tremendous cost and time associated with generating ground truth for supervised machine learning, alongside concerns about the inconsistent quality of images acquired. Active learning offers a potential solution to these problems of expanding dataset ground truth by algorithmically choosing the most informative samples for ground truth labeling. Still, this effort incurs the costs of human labeling, which needs minimization.

Functional Outcomes in Upper Limb Replantation-A Systematic Review.

Functionality after upper limb replantation is a decisive factor when considering the success of the intervention. Therefore, its evaluation is fundamental. The aim of this article was to conduct a systematic review of upper limb functions after replantation or reimplantation, seeking to identify reported functional outcomes as well as the level and mechanism of injury.

Retrospective Study of Lung Cancer: Evolution in 16 Years in the Burgos Region.

: This study investigates the evolution of lung cancer in the population of Burgos over more than a decade, focusing on key variables such as age, gender, histology, and stage of diagnosis. The aim is to understand how incidence rates and patterns have changed over time, especially in terms of early diagnosis. : Retrospective data were collected from the Burgos University Hospital using histological or clinicoradiological methods.

Language-Independent Acoustic Biomarkers for Quantifying Speech Impairment in Huntington's Disease.

Purpose: Changes in voice and speech are characteristic symptoms of Huntington's disease (HD). Objective methods for quantifying speech impairment that can be used across languages could facilitate assessment of disease progression and intervention strategies. The aim of this study was to analyze acoustic features to identify language-independent features that could be used to quantify speech dysfunction in English-, Spanish-, and Polish-speaking participants with HD.