Results 131 to 140 of about 4,098,399 (317)

The burden of intracranial atherosclerosis on cerebral small vessel disease: A community cohort study

Annals of Clinical and Translational Neurology, EarlyView.
Abstract Objective Exploring the prevalence and association between intracranial atherosclerosis (ICAS) and cerebral small vessel diseases (CSVD), this study delved beyond the current scope, utilising high‐resolution vessel wall MRI (HRVW‐MRI) to investigate how subtle changes in intracranial atherosclerotic features influence the various burdens of ...
Joseph Amihere Ackah, Heng Du, Wenjie Yang, Huixing Zeng, Jason Tsz Lok Chan, Michael Lung Cheung Lo, Xiangyan Chen   +6 more
wiley   +1 more source

Editorial: Frugal Innovation (April 2018)

Technology Innovation Management Review, 2018
Chris McPhee, Deepak S. Gupta, Mokter Hossain   +2 more
doaj   +1 more source

SoK: Security and Privacy Risks of Healthcare AI [PDF]

arXiv
The integration of artificial intelligence (AI) and machine learning (ML) into healthcare systems holds great promise for enhancing patient care and care delivery efficiency; however, it also exposes sensitive data and system integrity to potential cyberattacks.
arxiv  

Evaluation of healthcare software from a usability perspective [PDF]

, 1990
Julie C. Lowery, James B. Martin
openalex   +1 more source

Clinical Phenotyping of Long COVID Patients Evaluated in a Specialized Neuro‐COVID Clinic

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To report Long COVID characteristics and longitudinal courses of patients evaluated between 4/14/21–4/14/22 at the University of Pennsylvania Neurological COVID Clinic (PNCC), including clinical symptoms, neurological examination findings, and neurocognitive screening tests from a standardized PNCC neurological evaluation approach ...
Luana D. Yamashita, Neel Desai, Abigail R. Manning, Caitlin Pileggi, Sara Manning Peskin, Danielle K. Sandsmark, Dennis L. Kolson, Matthew K. Schindler   +7 more
wiley   +1 more source

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration [PDF]

arXiv
The wide exploration of large language models (LLMs) raises the awareness of alignment between healthcare stakeholder preferences and model outputs. This alignment becomes a crucial foundation to empower the healthcare workflow effectively, safely, and responsibly.
arxiv  

Measuring performance in healthcare [PDF]

, 2015
Hospitals invest in process management and process optimization from an organizational and patient perspective to increase efficiency and simultaneously the quality of their operations.
De Pourcq, Kaat, Gemmel, Paul, Trybou, Jeroen   +2 more
core   +1 more source

Management and Outcomes in Confirmed or Suspected Acute Symptomatic Seizure: Role of Structured Outpatient Care

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Post‐discharge management and outcomes of acute symptomatic seizures (ASyS) remain underexplored. We analyzed post‐discharge ASM management and outcomes in ASyS patients undergoing continuous EEG (cEEG), including the role of outpatient care through a post‐acute symptomatic seizure (PASS) clinic. Methods We performed a single‐center,
Vineet Punia, MarieElena Byrnes, Nicolas R. Thompson, Neishay Ayub, Clio Rubinos, Sahar Zafar, Adithya Sivaraju, Zhong Ying, Jessica R. Fesler, Stephen Hantus, Post‐Acute Symptomatic Seizure Investigation and Outcomes Network (PASSION) investigators   +10 more
wiley   +1 more source

Developing functional, affordable, clinical information systems: meeting a healthcare challenge of the '90s [PDF]

, 1990
Michael Buckley
openalex   +1 more source

Benefits realisation for healthcare [PDF]

, 2009
Following the emergent importance of benefits realisation applied to healthcare infrastructure and service development programs, HaCIRIC has undertaken a research initiative targeting the development of a robust and comprehensive Benefits Realisation ...
Kagioglou, M, Lima, JB, Sapountzis, S, Yates, KA   +3 more
core