Continued advances in machine learning could enable robots to solve tasks on a human level and adapt to changing conditions.
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http://dx.doi.org/10.1126/scirobotics.abe2547 | DOI Listing |
Nucl Med Mol Imaging
February 2025
Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351 Republic of Korea.
Abstract: This guideline outlines the use of F-fluoro-2-deoxyglucose positron emission tomography / computed tomography for the diagnosis and management of infectious and inflammatory diseases. It provides detailed recommendations for healthcare providers on patient preparation, imaging procedures, and the interpretation of results. Adapted from international standards and tailored to local clinical practices, the guideline emphasizes safety, quality control, and effective use of the technology in various conditions, including spinal infections, diabetic foot, osteomyelitis, vasculitis, and cardiac inflammation.
View Article and Find Full Text PDFNucl Med Mol Imaging
February 2025
Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351 Republic of Korea.
This guideline outlines the use of 3,4-dihydroxy-6-F-fluoro-L-phenylalanine positron emission tomography / computed tomography for the diagnosis and management of neuroendocrine tumors, brain tumors, and other tumorous conditions. It provides detailed recommendations on patient preparation, imaging procedures, and result interpretation. Based on international standards and adapted to local clinical practices, the guideline emphasizes safety, quality control, and the effective application of 3,4-dihydroxy-6-F-fluoro-L-phenylalanine positron emission tomography / computed tomography for various tumors such as insulinomas, pheochromocytomas, and medullary thyroid carcinoma.
View Article and Find Full Text PDFBMC Med Educ
January 2025
Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Background: Although artificial intelligence (AI) has gained increasing attention for its potential future impact on clinical practice, medical education has struggled to stay ahead of the developing technology. The question of whether medical education is fully preparing trainees to adapt to potential changes from AI technology in clinical practice remains unanswered, and the influence of AI on medical students' career preferences remains unclear. Understanding the gap between students' interest in and knowledge of AI may help inform the medical curriculum structure.
View Article and Find Full Text PDFCien Saude Colet
January 2025
Programa de Pós-Graduação em Assistência Farmacêutica, Universidade Federal do Rio Grande do Sul. R. São Luís 150, Santana. 90620-170 Porto Alegre RS Brasil.
Ir J Med Sci
January 2025
Department of Clinical Pharmacy, College of Pharmacy, King Khalid University, Abha, Saudi Arabia.
Aim: This study aimed to identify the most commonly used tools by recent pharmacy graduates who successfully passed the Saudi Pharmacists Licensure Examination (SPLE). It also sought to evaluate which tools were perceived as the most useful and representative of the exam content, while considering their monetary value and offering recommendations for future candidates.
Methods: A cross-sectional design was used, involving licensed pharmacists who graduated in 2019 or later and had successfully passed the SPLE.
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