Results 211 to 220 of about 9,107,460 (340)

The future of periodontology: Emerging technologies and conceptual shifts

Journal of Periodontology, EarlyView.
Abstract Periodontology is entering a transformative era driven by advances in diagnostics, therapeutics, and digital integration. Emerging technologies and conceptual shifts are currently reshaping the specialty, with a focus on predictive, preventive, and personalized care.
Michael S. Reddy
wiley   +1 more source

Comparative Cost Evaluation of Managed Entry Agreement Techniques Using Real-World Data from High-Cost Anticancer Drugs in Thailand. [PDF]

J Mark Access Health Policy
Owat P, Sooksriwong C, Ratanabunjerdkul H, Phodha T.   +3 more
europepmc   +1 more source

Upper and small bowel Crohn's disease in Brazilian children: Phenotypic characteristic and surgical risk

Journal of Pediatric Gastroenterology and Nutrition, EarlyView.
Abstract Objectives Upper and small bowel Crohn's disease (U‐SBCD) represents a clinically aggressive phenotype with high complication rates yet remains diagnostically challenging. In low‐ and middle‐income countries (LMICs), limited inflammatory bowel disease (IBD) awareness contributes to diagnostic delays, but their impact on U‐SBCD outcomes remains
Jane Oba, Carlos Walter Sobrado, Elizete Aparecida Lomazi, Mariana Deboni, Michela Cynthia da Rocha Marmo, Vanessa Adriana Scheeffer, Silvio da Rocha Carvalho, Adérson Omar Mourão Cintra Damião, Matheus Freitas Cardoso de Azevedo, Carlos Frederico Sparapan Marques, Eytan Wine, Artur Figueiredo Delgado, Clovis Artur Almeida da Silva Full   +12 more
wiley   +1 more source

Disparities in Access to Cystic Fibrosis Therapy Across Countries. [PDF]

Pediatr Pulmonol
Karadag B.
europepmc   +1 more source

Outcomes and adverse effects of teduglutide treatment with periodic withdrawal in pediatric short bowel patients

Journal of Pediatric Gastroenterology and Nutrition, EarlyView.
Abstract Objectives We evaluated the efficacy and safety of teduglutide in a real‐world cohort in which national reimbursement policies required treatment interruptions. The primary outcomes were reduction in parenteral support (PS) and treatment‐related adverse effects, and the secondary outcome was the impact of the mandated withdrawal periods ...
Riikka Gunnar, Annika Mutanen, Mikko P. Pakarinen, Laura Merras‐Salmio   +3 more
wiley   +1 more source

Pricing models for diagnostic AI based on qualitative insights from healthcare decision makers. [PDF]

NPJ Digit Med
Kirchhoff J, Berns F, Schieder C, Schobel J.   +3 more
europepmc   +1 more source

The persistence of cliques in the post-communist state. The case of deniability in drug reimbursement policy in Poland.

British Journal of Sociology, 2016
P. Ozieranski, L. King
semanticscholar   +1 more source

Efficacy of Lebrikizumab in Patients With Severe Atopic Dermatitis Who Would be Eligible for Treatment Based on the South Korean Reimbursement Criteria

JEADV Clinical Practice, EarlyView.
ABSTRACT Background Lebrikizumab is approved to treat patients with moderate‐to‐severe atopic dermatitis (AD). Objectives This study evaluated the 16‐week efficacy outcomes of lebrikizumab in adults and adolescents with severe AD in ADvocate trials who would be eligible for treatment based on South Korean reimbursement‐like criteria. Methods This was a
Chong Hyun Won, Chun Wook Park, Jiyoung Ahn, Joo Yeon Ko, Sang Hyun Cho, Yang Won Lee, Joo Hee Lee, Khai Jing Ng, Min Young Hong, Jinglin Zhong, Martin Dossenbach, Sang Wook Son   +11 more
wiley   +1 more source

Access and Reimbursement for Artificial Intelligence in Radiology: The Asian Oceanian Society of Radiology Perspective. [PDF]

Korean J Radiol
Chuapetcharasopon C.
europepmc   +1 more source

The Role of Artificial Intelligence in Modern Allergology: A Review of Applications in Diagnosis, Prediction, and Management

JEADV Clinical Practice, EarlyView.
ABSTRACT Artificial Intelligence is rapidly transforming allergology by enhancing diagnosis, risk prediction, automation, patient communication, education, and therapy development. Machine learning approaches, including convolutional neural networks, recurrent architectures, and transformer‐based models, enable analysis of complex datasets from ...
Sebastian Seurig, Stephan Traidl, Sonja Mathes   +2 more
wiley   +1 more source