Results 171 to 180 of about 37,984 (216)

The Fatty Pancreas: Current Evidence, Treatment Implications, and Future Directions. [PDF]

Gastro Hep Adv
Syed KA, Manoj MA, Forsmark CE, Hughes SJ, Grajo JR, Feely MM, Novikov AA.   +6 more
europepmc   +1 more source

What Are Computer‐Assisted Methods Achieving in Fine‐Needle Aspiration Cytology of the Pancreas? A Systematic Review and Meta‐Analysis

Cytopathology, EarlyView.
This meta‐analysis demonstrates high diagnostic accuracy of computer‐assisted methods in pancreatic EUS‐FNA cytology (AUC 0.92–0.96) and supports an integrated, cytopathologist‐led workflow in which artificial intelligence functions as an adjunct to diagnostic interpretation and on‐site evaluation (ROSE). Created in BioRender. Mohamed Mirzan, A. (2026)
Al‐Amaan Mohamed Mirzan, Roberto Dina
wiley   +1 more source

A sensor-fault resilient artificial pancreas using type-3 fuzzy logic and predictive controls. [PDF]

Sci Rep
Mai VT, Alattas KA, Khani A, Mohammadzadeh A.   +3 more
europepmc   +1 more source

Semiological features of epilepsy seizures and paroxysmal non‐epileptic events in children: A systematic review and meta‐analysis

Developmental Medicine &Child Neurology, EarlyView.
Pediatric paroxysmal non‐epileptic events (PNEs) are frequently misdiagnosed as epilepsy. We systematically reviewed and synthesized 40 studies, including 3123 video‐EEG monitored pediatric patients. Epileptic seizures in infants (1 month–3 years) typically presented as arrest, while in children and adolescents (1 month–21 years) they manifested as ...
Tímea Lőrincz‐Molnár, Márk Viktor Hernádfői, Krisztina Szalkay, Réka Tóth, Marie Anne Engh, Péter Kiss, Miklós Garami, Péter Hegyi, András Fogarasi   +8 more
wiley   +1 more source

Trustworthy artificial intelligence in predictive medicine: cancer survival analysis using ethical-by-design and explainable artificial intelligence models. [PDF]

JAMIA Open
Farahani S, Siddiqui IA, Taheri A, Fox C, Einhorn A, Helman S, Mathew J, Harshman K, Myers N, Koleck TA, Weiss KR, Lohse I, Tafti AP.   +12 more
europepmc   +1 more source

Clustering of technological attitudes and reasons for device (non‐)uptake among Dutch people with type 1 diabetes, family members and health professionals

Diabetic Medicine, EarlyView.
Abstract Background Pump and sensor technology contributes to glucose management and quality of life for people with type 1 diabetes (PWD). However, not everyone uses these technologies. This commonly relates to technological attitudes, experiences and expectations. Also, parents and partners (P/P) and healthcare providers (HCPs) may impactful decision‐
M. Horsselenberg, J. B. Prins, M. Boenink, H. J. Aanstoot, G. Nefs   +4 more
wiley   +1 more source

Editorial: Organ transplantation by 2040. [PDF]

Front Transplant
Kupiec-Weglinski JW, Busuttil RW.
europepmc   +1 more source

Prevalence, duration, and clinical implications of continuous glucose monitor measurement limit capping in type 1 diabetes

Diabetic Medicine, EarlyView.
Abstract Aims CGM devices report glucose only within fixed limits (typically 40–400 mg/dL; 2.2–22.2 mmol/L), truncating extreme values to a boundary (‘capping’). We characterised prevalence, duration, and consequences of capping in type 1 diabetes trial data.
John F. Mulley
wiley   +1 more source

Machine learning and artificial intelligence in liquid biopsy-based early detection of pancreatic cancer: a scoping review. [PDF]

BJC Rep
Ku J, Singhal M, Burnette M, Hegazy SA.
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