A vision to the future: value-based laboratory medicine

Clinical Chemistry and Laboratory Medicine (CCLM), Journal Year: 2024, Volume and Issue: 62(12), P. 2373 - 2387

Published: Sept. 11, 2024

Abstract The ultimate goal of value-based laboratory medicine is maximizing the effectiveness tests in improving patient outcomes, optimizing resources and minimizing unnecessary costs. This approach abandons oversimplified notion test volume cost, favor emphasizing clinical utility quality diagnostic decision-making. Several key elements characterize medicine, which can be summarized some basic concepts, such as organization vitro diagnostics (including appropriateness, integrated diagnostics, networking, remote monitoring, disruptive innovations), translation data into information measurable sustainability, reimbursement, ethics (e.g., empowerment safety, protection, analysis big data, scientific publishing). Education training are also crucial, along with considerations for future profession, will largely influenced by advances automation, technology, artificial intelligence, regulations concerning diagnostics. collective opinion paper, composed summaries from presentations given at two-day European Federation Laboratory Medicine (EFLM) Strategic Conference “A vision to future: medicine” (Padova, Italy; September 23–24, 2024), aims provide a comprehensive overview projecting profession more clinically effective sustainable future.

Language: Английский

Enhancing Brain Tumor Detection and Diagnosis

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 473 - 500

Published: March 7, 2025

Brain tumors present significant challenges in early detection and precise diagnosis, which are critical for improving patient outcomes. This chapter explores advanced methods enhancing brain tumor diagnosis using image processing convolutional neural networks (CNNs). It delves into the limitations of traditional diagnostic methods, highlighting their lack sensitivity specificity. The integration techniques CNNs is presented as a more effective approach segmentation, classification, improved accuracy. also discusses potential AI-driven systems real-time personalized treatment plans, long-term monitoring. Through comprehensive analysis CNN architectures medical this work emphasizes importance technologies achieving precision healthcare neuro-oncology.

Language: Английский

A systematic review of AI as a digital twin for prostate cancer care

Computer Methods and Programs in Biomedicine, Journal Year: 2025, Volume and Issue: 268, P. 108804 - 108804

Published: May 6, 2025

Language: Английский