Results 141 to 150 of about 746,363 (293)
Abstract Purpose Single‐isocenter multitarget (SIMT) radiosurgery has become increasingly popular as advancement in planning and delivery systems have made this approach clinically viable. With targets varying in size and distance from isocenter, SIMT plans are highly complex with dynamic multileaf collimator (MLC) motion.
Hem Moktan+3 more
wiley +1 more source
Optimising remote health care delivery in Antarctica: a review of the current capabilities utilised in the British Antarctic Territory. [PDF]
Lowe J, Warner M.
europepmc +1 more source
NURSING INTERVENTION IN: the Crisis in the Health-Care Delivery System
Mary F. Liston
openalex +1 more source
Unlocking the Potential of Metaverse in Innovative and Immersive Digital Health [PDF]
The concept of Metaverse has attracted a lot of attention in various fields and one of its important applications is health and treatment. The Metaverse has enormous potential to transform healthcare by changing patient care, medical education, and the way teaching/learning and research are done.
arxiv
Abstract Purpose The dual‐layer multileaf collimator (MLC) in Halcyon adds complexities to the dose calculation process owing to the variability of dosimetric characteristics with leaf motion. Recently, an enhanced leaf model (ELM) was developed to refine the MLC model in the Eclipse treatment planning system. This study investigates the performance of
Ryohei Miyasaka+6 more
wiley +1 more source
Household Transmission of Viral Acute Gastroenteritis Among Participants Within an Integrated Health Care Delivery System, 2014-2016. [PDF]
Balachandran N+6 more
europepmc +1 more source
The Educational Programme and Innovative Aspects of Health Care Delivery
E Vayda
openalex +1 more source
PatchCTG: Patch Cardiotocography Transformer for Antepartum Fetal Health Monitoring [PDF]
Antepartum Cardiotocography (CTG) is vital for fetal health monitoring, but traditional methods like the Dawes-Redman system are often limited by high inter-observer variability, leading to inconsistent interpretations and potential misdiagnoses. This paper introduces PatchCTG, a transformer-based model specifically designed for CTG analysis, employing
arxiv
Closing the gap in plan quality: Leveraging deep‐learning dose prediction for adaptive radiotherapy
Abstract Purpose Balancing quality and efficiency has been a challenge for online adaptive therapy. Most systems start the online re‐optimization with the original planning goals. While some systems allow planners to modify the planning goals, achieving a high‐quality plan within time constraints remains a common barrier.
Sean J. Domal+9 more
wiley +1 more source