Results 221 to 230 of about 63,129 (302)

Transforming healthcare with large language models: Current applications, challenges, and future directions—a literature review

Journal of Intelligent Medicine, EarlyView.
Abstract AI‐based large language models (LLMs) have gradually made their way into various fields, transforming industries and changing the way we solve problems. LLMs have great potential in healthcare, where they can share the burden of data management, retrieval, and decision‐making.
Muhammad Umar, Vanessa Ali, Laiba Shamim, Imshaal Musharaf, Rabia Hafsa, Muhammad Umar Ahsan, Osama Ahmad, Lamea Bint Sabhan, Muhammad Saeed, Somaiya Ahmed, Sana Iftikhar, Noor Ul Ain   +11 more
wiley   +1 more source

Linguistic Disparities in Artificial Intelligence-Generated Patient Education for Total Hip Arthroplasty: A Pilot Study of Cross-Language Analysis of Leading Large Language Models. [PDF]

JB JS Open Access
Ali U, Tareen HK, Pedroza JA, Kanza S, Amjad F, Khan S, García JA, Hasan A, Khan J, Malik MJA.   +9 more
europepmc   +1 more source

Does AI at Work Increase Stress? Text Mining Social Media About Human–AI Team Processes and AI Control

Journal of Organizational Behavior, EarlyView.
ABSTRACT With rising use of artificial intelligence (AI) in organizations, alongside increasing mental health issues, we seek to understand how AI use affects human stress. Drawing on the automation–augmentation perspective, we propose that AI control over decision‐making thwarts human autonomy and thus contributes to stress.
Florian Klonek, Sharon Parker
wiley   +1 more source

Empowering liver cancer diagnosis and treatment with foundation models: technological innovation and clinical practice. [PDF]

Clin Exp Med
Wang J, Xue S, Xia H, Cui P, Yang S, Wang X, Liu J, Li D, Dong J.   +8 more
europepmc   +1 more source

Unlocking Privacy in Healthcare: The Impact of Explanations on Privacy Concerns and Self‐Disclosure to Conversational Technologies

Journal of Operations Management, EarlyView.
ABSTRACT While artificial intelligence (AI)‐based conversational technologies offer exciting prospects in healthcare, the lack of transparency and elevated privacy concerns in using such technologies remain a challenge and make much‐needed information difficult to obtain while administering patient care.
Hashai Papneja, Sarv Devaraj
wiley   +1 more source

Generative Artificial Intelligence and Large Language Models in Paediatric Dentistry: A Scoping Review. [PDF]

Int Dent J
Akitomo T, Hamada M, Hamaguchi S, Kusaka S, Nomura R.   +4 more
europepmc   +1 more source

Performance of large language models in answering frequently‐asked questions on celiac disease

Journal of Pediatric Gastroenterology and Nutrition, EarlyView.
Abstract Objectives Celiac disease (CeD) is a common autoimmune condition requiring lifelong adherence to a gluten‐free diet (GFD). Patients and caregivers increasingly seek information online, and large language models (LLMs) have emerged as potential educational tools. However, their reliability in CeD remains uncertain.
Nadav Peled, Dror S. Shouval, Peter Gillett, Hania Szajewska, Francesco Valitutti, Raanan Shamir, Anat Guz‐Mark   +6 more
wiley   +1 more source

Reliability of Gemini 2.5 Pro, ChatGPT 4.1, DeepSeek V3, and Claude Opus 4 in generating standardized CMR protocols. [PDF]

Eur Radiol Exp
Licu RA, Muscogiuri G, Casartelli D, Bacârea A, Pop M, Licu AM, Sferratore D, Caruso A, Mirchuk M, Tarkowski P, Byczkowski J, Sironi S.   +11 more
europepmc   +1 more source

Applications and Challenges of Digital Health in Rheumatology

iNew Medicine, EarlyView.
Xiao‐Xiao Li, Xue‐Er Cheng, Ming‐Ming Zhang, Peng Wang, Hai‐Feng Pan   +4 more
wiley   +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