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Deep Learning and Multidisciplinary Imaging in Pediatric Surgical Oncology: A Scoping Review.
Cancer Med
January 2025
Department of Pediatric Surgery, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Background: Medical images play an important role in diagnosis and treatment of pediatric solid tumors. The field of radiology, pathology, and other image-based diagnostics are getting increasingly important and advanced. This indicates a need for advanced image processing technology such as Deep Learning (DL).
View Article and Find Full Text PDFEmerging trends in the optimization of organic synthesis through high-throughput tools and machine learning.
Beilstein J Org Chem
January 2025
Institute of Materials Research and Engineering (IMRE), Agency for Science Technology and Research (A*STAR), 2 Fusionopolis Way, Singapore 138634, Republic of Singapore.
The discovery of the optimal conditions for chemical reactions is a labor-intensive, time-consuming task that requires exploring a high-dimensional parametric space. Historically, the optimization of chemical reactions has been performed by manual experimentation guided by human intuition and through the design of experiments where reaction variables are modified one at a time to find the optimal conditions for a specific reaction outcome. Recently, a paradigm change in chemical reaction optimization has been enabled by advances in lab automation and the introduction of machine learning algorithms.
View Article and Find Full Text PDFComputer-aided robotics for applications in fracture reduction surgery: Advances, challenges, and opportunities.
iScience
January 2025
The First Clinical College, Shandong University of Traditional Chinese Medicine, Jinan 250013, P.R. China.
The advancement of information technology and AI has boosted global economic and social development. Robot systems (RS) and computer-aided technology (CAT) are used in various domains, including social production and human existence. Traditional fracture reduction surgery relies on the expertise and surgical skills of surgeons to realign fractures in patients.
View Article and Find Full Text PDFA Structured, Anatomy-Based Chest CT Interpretation Curriculum for Pulmonary Fellows Covering the Main Patterns of Parenchymal Lung Disease.
MedEdPORTAL
January 2025
Associate Professor, Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington School of Medicine; Staff Physician, Pulmonary, Critical Care and Sleep Medicine Section, Veterans Affairs Puget Sound Healthcare System.
Introduction: Chest computed tomography (CT) interpretation is a key competency for pulmonary fellows, with many resources intended for radiologists but very few for this specific group. We endeavored to create a curriculum to teach chest CT interpretation to first-year pulmonary fellows.
Methods: We assembled a team of two pulmonologists, one radiologist, and a fellow with computer drafting software experience.
How to Integrate Neuroethics into a Neuroscience Course - And Drive Student Engagement with Core Concepts.
J Undergrad Neurosci Educ
December 2024
Berman Institute of Bioethics, Johns Hopkins University, Baltimore, MD 21205; Center for Teaching Excellence and Innovation, Johns Hopkins University, Baltimore, MD 21205.
Students are thinking about ethical, moral, and societal implications of science-as individuals and communities- regardless of whether these topics are part of formal curricula. Ethical questions can arise from broad neuroscientific questions (What is consciousness?), emerging topics (e.g.
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