Results 171 to 180 of about 171,044 (293)

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

Optimised Internet of Thing framework based hybrid meta‐heuristic algorithms for E‐healthcare monitoring

IET Networks, EarlyView., 2022
Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi, Shymaa Mohammed Jameel, Firas Husham Almukhtar, Musaddak Maher Abdul Zahra, Refed Adnan Jaleel   +4 more
wiley   +1 more source

Quality of artificial intelligence‐generated responses on pediatric celiac disease: Comparative assessment of Open AI ChatGPT and Google Gemini

JPGN Reports, EarlyView.
Abstract Objectives Many individuals use artificial intelligence tools such as Open AI's ChatGPT and Google's Gemini to assess their symptoms or learn about a disease. However, studies to evaluate responses provided by artificial intelligence tools are lacking.
Ashwin Agrawal, Miri Goodman, Alexander Schosheim, Jonathan E. Teitelbaum   +3 more
wiley   +1 more source

Digital transformation: artificial intelligence and employment anxiety of prospective sports managers. [PDF]

Front Psychol
Kacay Z, Sarikan U, Sunay H, Turgut T, Talaghir LG, Mihaela IT, Coja DM, Florentina C.   +7 more
europepmc   +1 more source

Shear Wave Elastography for Characterization of Breast Lesions in Clinical Routine

Journal of Ultrasound in Medicine, EarlyView.
Objectives Breast cancer remains a major global health challenge, and conventional B‐mode ultrasound frequently encounters limitations in reliably distinguishing benign from malignant lesions, particularly within intermediate Breast Imaging‐Reporting and Data System (BI‐RADS) categories.
Sylvia Kelemen, Tician Schnitzler, Simin Laures, Daniela Schwegler‐Guggemos, Nikki Rommers, Sebastian Schindera, Michael Golatta   +6 more
wiley   +1 more source

The age of authenticity anxiety: Artificial intelligence and emerging questions for mental health. [PDF]

PLOS Ment Health
Brown AD.
europepmc   +1 more source

The Association Between Family Physicians’ Artificial Intelligence Anxiety Levels and Medical Artificial Intelligence Readiness

The Anatolian Journal of General Medical Research
Nazmiye Kaçmaz Ersü, Abdurrahman Ersü, Yeliz Mercan   +2 more
openaire   +1 more source

Should Dermatologists Recommend Direct‐to‐Consumer App‐Based Remote Diagnostics? An Ethical Analysis

JEADV Clinical Practice, EarlyView.
ABSTRACT Background Dermatology patients still face barriers in accessing timely specialist care. As direct‐to‐consumer (DTC) apps for remote dermatological diagnostics proliferate, guidance is lacking. While promising efficiency and efficacy, their clinical—and ethical—legitimacy is not yet well established.
Sonja Mathes, Sebastian Seurig, Theresa Willem, Marta Dechant, Stephan Traidl, Mina Kang, Pedro Marques Pinto, Annette Binder, Tilo Biedermann, Ulf Darsow   +9 more
wiley   +1 more source

Do Robots Improve the Work–Live Balance? Evidence From a Shared Services Center

Knowledge and Process Management, EarlyView.
ABSTRACT This article examines the effects of process automation on the work–life balance of management accounting professionals in a shared services center (SSC), with the intervention of perceived usefulness of automation and upskilling. A single entity survey was carried out in a SSC of a player in the electricity sector listed on the Brazilian ...
Ilse Maria Beuren, Valter Luís Barbieri Colombo, Elionor Farah Jreige Weffort   +2 more
wiley   +1 more source

Optimising Human–AI Decision Performance: A Trust and Capability Framework for Knowledge Management

Knowledge and Process Management, EarlyView.
ABSTRACT Organisations struggle to optimise human–AI collaboration in knowledge‐intensive decision‐making. This paper proposes the Trust–Complementarity Model of Collective Intelligence (TCM‐CI), explaining how calibrated trust and complementary capability utilisation drive superior organisational performance.
Eduardo Carlos Dittmar, Martin Sposato
wiley   +1 more source