Results 141 to 150 of about 18,891 (267)

Toward generalizable and interpretable machine learning models in healthcare: Insights from ICU outcome predictions. [PDF]

Health Care Manag Sci
Bohlen L, Rosenberger J, Hambauer N, Zähringer D, Franz V, Zschech P, Kraus M.   +6 more
europepmc   +1 more source

Self‐reported mental health and the Dobbs decision: Variation by State abortion laws

Contemporary Economic Policy, Volume 43, Issue 2, Page 199-225, April 2025.
Abstract When a US Supreme Court ruling allowed states to ban abortion, women of childbearing age in the states where abortion became illegal reported higher rates of anxiety symptoms compared to similar‐aged women in other states and older women in the same states.
J. Michael Collins, Vivekananda Das
wiley   +1 more source

Quick assessment of quality‐of‐life in itch: An exploratory validation of the 5‐item pruritus life quality

JDDG: Journal der Deutschen Dermatologischen Gesellschaft, EarlyView.
Summary Background and objectives Chronic pruritus (CP) significantly impairs quality of life (QoL), but existing patient‐reported QoL tools are either not specific for CP or are very extensive. Patients and methods The 5‐item pruritus life quality (5PLQ, range: 5–25, 7‐day recall) was developed to assess key itch‐related QoL domains (sensory symptoms,
Claudia Zeidler, Simone Garcovich, Svetlana Bobko, Franz J. Legat, Andrey Lvov, Emilie Brenaut, Adam Reich, Esther Serra‐Baldrich, Laurent Misery, Jacek C. Szepietowski, Martin Dugas, Felix Aulenbacher, Pascale Salameh, Sonja Ständer, Manuel P. Pereira   +14 more
wiley   +1 more source

Determinants of Severe Financial Distress in U.S. Acute Care Hospitals: A National Longitudinal Study. [PDF]

Healthcare (Basel)
Langabeer JR, Vega FR, Cohen AS, Champagne-Langabeer T, Yatsco AJ, Lalani K.   +5 more
europepmc   +1 more source

Reframing Justice in Healthcare AI: An Ubuntu‐Based Approach for Africa

Developing World Bioethics, EarlyView.
ABSTRACT There is an ongoing debate on how to balance the benefits and risks of artificial intelligence (AI), especially in healthcare. In resource‐constrained settings, such as Africa, where access to quality care remains a challenge, AI has the potential to improve efficiency, accessibility, and patient outcomes.
Aloysius Ochasi, Abdoul Jalil Djiberou Mahamadou, Russ B. Altman, Levi U. C. Nkwocha   +3 more
wiley   +1 more source

Towards sustainable implementation of robotic surgery: an interregional strategic framework from Norway. [PDF]

J Robot Surg
Basso T, Bjerke LM, Bretthauer M, Christiansen O, Dahl T, Fosse E, Gaustad F, Grimsgaard C, Hammerstad L, Haram PM, Majak G, Strønen E, Thoresen C, Tjomsland O.   +13 more
europepmc   +1 more source

AI and Epigenetics: A New Opportunity for Early Pancreatic Cancer Detection in Australia

ANZ Journal of Surgery, EarlyView.
Jaswinder S. Samra, Krishna Kotecha, Anubhav Mittal   +2 more
wiley   +1 more source

Machine learning approaches in automated infant General Movements Assessment: A scoping review

Developmental Medicine &Child Neurology, EarlyView.
Automated infant General Movements Assessment increasingly uses machine‐ and deep‐learning approaches to classify movement patterns and estimate cerebral palsy risk from video or sensor data. This scoping review highlights how dataset characteristics, recording environment, pose‐estimation accuracy, feature extraction, and model design influence system
Manpreet Kaur, Hamid Abbasi, Sîan A. Williams, Thor F. Besier, Angus J. C. McMorland   +4 more
wiley   +1 more source

The evolving role of DICOM in digital pathology. [PDF]

J Pathol Inform
Cornish TC, Dayal S, Ferber D, Chiweshe J, Monroe R.   +4 more
europepmc   +1 more source

Continuous Intraperitoneal Insulin Infusion for People With Type 1 Diabetes: A Literature Review and International Position Statement

Diabetes, Obesity and Metabolism, EarlyView.
ABSTRACT Achieving glucose targets without hypoglycaemia is the treatment goal in type 1 diabetes. Structured education, intensified insulin injection regimens, continuous glucose monitoring, automated insulin delivery, and ongoing support from a multidisciplinary team all support people with type 1 diabetes to achieve this goal. Despite these advances,
Nick Oliver, Bernhard Gehr, Rayhan Lal, Peter R. van Dijk, Eric Renard   +4 more
wiley   +1 more source