Results 131 to 140 of about 257,297 (347)

Potential for use of Al/machine learning for pharmacovigilance: Is there a role for regulators?

open access: yes
British Journal of Clinical Pharmacology, EarlyView.
Christina Gao   +3 more
wiley   +1 more source

Biopsy for Suspicious Oral Lesions: A Review From the American Head and Neck Society‐Cancer Prevention Service

open access: yesHead &Neck, EarlyView.
ABSTRACT Background Oral cancer is often preceded by a precursor lesion. This presents an opportunity for early diagnosis and intervention. Method of biopsy and interpretation are not well standardized and novel methods of analysis are now being investigated.
James Christopher Gates   +12 more
wiley   +1 more source

Investigating the Effect of Training With the Method of Simulation on the Knowledge and Performance of Nursing Students in the Pre-Hospital Triage [PDF]

open access: diamond, 2018
Roohollah Farhadloo   +9 more
openalex   +1 more source

The Political Determination of Gaza's Health System Destruction and Reconstruction and the Limitations of International Medical Deployments

open access: yesThe International Journal of Health Planning and Management, EarlyView.
ABSTRACT Gaza's health system has been devastated by a confluence of political determinants that long predated the 2023–25 Israeli military assault and were dramatically intensified during it. Using historical, political economy, ethical, and health systems lenses, this article argues that settler colonialism, military occupation, and a protracted ...
Bilal Irfan   +19 more
wiley   +1 more source

Safety and accuracy of digitally supported primary and secondary urgent care telephone triage in England: an observational study using routine data

open access: yesBMC Medical Informatics and Decision Making
Background England’s urgent care telephone triage system comprises non-clinician-led primary triage (NHS111) assessment followed, for approximately 50% patients, by clinician-led secondary triage. Digital decision support is utilised by both.
Vanashree Sexton   +4 more
doaj   +1 more source

Formulating multi diseases dataset for identifying, triaging and prioritizing patients to multi medical emergency levels: Simulated dataset accompanied with codes

open access: gold, 2020
Omar Hussein Salman   +5 more
openalex   +1 more source

Oral cancer risk stratification: A cross‐sectional population‐based screening study in Northeast India

open access: yesInternational Journal of Cancer, EarlyView.
What's New? Oral cancer burden is high in India. Risk stratification for selection of high‐risk individuals could enable early detection through efficient screening programs. We conducted a cross‐sectional screening study in Northeast India to develop and validate an oral precancer/cancer risk prediction model.
Kunal Oswal   +17 more
wiley   +1 more source

Indicators to identify cancer screening providers with suboptimal case detection: A scoping review

open access: yesInternational Journal of Cancer, EarlyView.
What's New? Quality control of cancer screening programs is essential to maintaining high public health standards. Here, the authors reviewed monitoring of case detection in cervical and colorectal cancer screening programs in Europe, and evaluated its effectiveness. They analysed 20 different measures used for this purpose and showed that many of them
Jiayao Lei   +5 more
wiley   +1 more source

Challenges in the future of cancer screening

open access: yesInternational Journal of Cancer, EarlyView.
Abstract The purpose of cancer screening is to reduce mortality, and ideally incidence, from the cancer screened for. Until recently, cancer screening has been offered to all persons in pre‐defined sex‐ and age‐groups. The exception is lung screening which is targeted to high‐risk individuals.
Elsebeth Lynge   +29 more
wiley   +1 more source

Beyond Algorithm: Emergency Department Professionals’ Perspectives on Machine Learning-Based Triage Integration—A Qualitative Study

open access: yesInquiry: The Journal of Health Care Organization, Provision, and Financing
Emergency department (ED) overcrowding has necessitated more efficient triage processes. Traditional methods can struggle to keep up with increasing patient volumes, and interest in machine learning-based triage systems is increasing.
Güvey Emre M. MSc   +2 more
doaj   +1 more source

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