Results 131 to 140 of about 5,796 (260)

Evaluating Large Language Model‐Assisted Emergency Triage: A Comparison of Acuity Assessments by GPT‐4 and Medical Experts

Journal of Clinical Nursing, EarlyView.
ABSTRACT Aim To evaluate the accuracy of the Emergency Severity Index (ESI) assignments by GPT‐4, a large language model (LLM), compared to senior emergency department (ED) nurses and physicians. Method An observational study of 100 consecutive adult ED patients was conducted. ESI scores assigned by GPT‐4, triage nurses, and by a senior clinician. Both
Gal Ben Haim, Mor Saban, Yiftach Barash, David Cirulnik, Amit Shaham, Ben Zion Eisenman, Livnat Burshtein, Orly Mymon, Eyal Klang   +8 more
wiley   +1 more source

Let's chat (GPT) about adolescent idiopathic scoliosis: accuracy and reliability of chat responses to frequently asked questions. [PDF]

BMC Musculoskelet Disord
Giray E, Korkmaz MD, Illeez OG, Capan N, Karadag Saygi E, Aydin AR.   +5 more
europepmc   +1 more source

Reflection on whether Chat GPT should be banned by academia from the perspective of education and teaching. [PDF]

Front Psychol, 2023
Yu H.
europepmc   +1 more source

Occlusal Dysesthesia: Identifying Knowledge Gaps to Advance Clinical Care

Journal of Oral Rehabilitation, EarlyView.
This scoping review highlights major knowledge gaps in the understanding of occlusal dysesthesia, including limited evidence on sensory, psychological and neurobiological mechanisms. Current theories remain largely unverified, underscoring the need for integrated biopsychosocial research to improve diagnosis and patient care.
Sara A. Esmat, Helen He, Iacopo Cioffi
wiley   +1 more source

Revolutionizing Educational Assessment: The Role of Bing Chat GPT-4 Chatbot in Increasing Efficiency in Grading Open-Ended Questions. [PDF]

Cureus
Abadam-Eremeev D, Seng RP, Srinivasan J, Knouna K, Bogaudo JR, Rodriguez De La Nuez PA, Podcheko A.   +6 more
europepmc   +1 more source

Number of Teeth and Posterior Occlusal Pairs by Sociodemographic Factors in the Finnish Adult Population, Results From the Healthy Finland 2023 Study

Journal of Oral Rehabilitation, EarlyView.
In Healthy Finland 2023‐study, edentulism prevalence was 4.2%, mean number of teeth 24.8, and POPs (posterior occlusal pairs) 6.5. POPs and number of teeth had likewise associations with sociodemographic background factors: older age, lower education, lower income, and being widowed were associated with lower number of teeth and POPs.
Irene Uski, Konsta Naumanen, Ritva Näpänkangas, Ulla Harjunmaa, Anna Liisa Suominen   +4 more
wiley   +1 more source

Pharm D student's Knowledge, perception, and practice of CHAT-GPT in clinical training: a web-based cross-sectional survey in India. [PDF]

Sci Rep
Easwaran V, Orayj K, Bommireddy BR, Mantargi MJS, Mulla MA, Thammisetty DP, Magham SR, Bandaru V, Bhupalam P, Goruntla N.   +9 more
europepmc   +1 more source

Chat GPT testissä

Dialogi, 2023
openaire   +2 more sources

Assessing the ability of large language models to summarize and generate maxillofacial prosthetic treatment options

Journal of Prosthodontics, EarlyView.
Abstract Purpose The aim was to evaluate the ability of four large language models (LLMs) (OpenAI's ChatGPT‐3.5, Microsoft 365 Copilot, DeepSeek‐R1, and Google Gemini 2.5 Pro) to develop treatment options when presented with clinical cases published in the maxillofacial prosthodontics literature.
Leila M. Sears, Merve Koseoglu, Stavroula Antonopoulou, Sarah Kay Youny Lee, Michael Kase, Amanda Colebeck, Yu‐Chun (Jessie) Lin, Heidi Huber, Maribeth Krzesinski, Alvin G. Wee, Cortino Sukotjo   +10 more
wiley   +1 more source

Chat GPT vs. Clinical Decision Support Systems in the Analysis of Drug-Drug Interactions. [PDF]

Clin Pharmacol Ther
Bischof T, Al Jalali V, Zeitlinger M, Jorda A, Hana M, Singeorzan KN, Riesenhuber N, Stemer G, Schoergenhofer C.   +8 more
europepmc   +1 more source