Performance of GPT-4 Turbo and GPT-4o in Korean Society of Radiology In-Training Examinations DOI
Arum Choi, Hyun Gi Kim, Moon Hyung Choi

и другие.

Korean Journal of Radiology, Год журнала: 2025, Номер 26

Опубликована: Янв. 1, 2025

Despite the potential of large language models for radiology training, their ability to handle image-based radiological questions remains poorly understood. This study aimed evaluate performance GPT-4 Turbo and GPT-4o in resident examinations, analyze differences across question types, compare results with those residents at different levels. A total 776 multiple-choice from Korean Society Radiology In-Training Examinations were used, forming two sets: one originally written other translated into English. We evaluated (gpt-4-turbo-2024-04-09) (gpt-4o-2024-11-20) on these temperature set zero, determining accuracy based majority vote five independent trials. analyzed using type (text-only vs. image-based) benchmarked them against nationwide residents' performance. The impact input (Korean or English) model was examined. outperformed both (48.2% 41.8%, P = 0.002) text-only (77.9% 69.0%, 0.031). On questions, showed comparable that 1st-year (41.8% 48.2%, respectively, 43.3%, 0.608 0.079, respectively) but lower than 2nd- 4th-year (vs. 56.0%-63.9%, all ≤ 0.005). For performed better years (69.0% 77.9%, 44.7%-57.5%, 0.039). Performance English- Korean-version no significant either (all ≥ 0.275). types. models' matched higher-year residents. Both demonstrated superior compared questions. consistent performances English inputs.

Язык: Английский

Phages as potential life-saving therapeutic option in the treatment of multidrug-resistant urinary tract infections DOI Creative Commons
Beata Zalewska-Piątek,

Michalina Nagórka

Acta Biochimica Polonica, Год журнала: 2025, Номер 72

Опубликована: Фев. 11, 2025

Urinary tract infections (UTIs) are among the most common bacterial worldwide and increasing antimicrobial resistance (AMR) challenges conventional antibiotic treatments. Phage therapy (PT) has emerged as a promising alternative due to its specificity, safety efficacy against multidrug-resistant (MDR) pathogens causing infectious diseases. PT demonstrates significant potential in treating chronic recurrent UTIs, also including catheter-associated infection by reducing biofilms, delaying catheter blockage, enhancing when used combination. Clinical trials case studies have reported high rates of eradication symptom improvement with minimal side effects. Although endotoxin release immune activation during treatment should continue be investigated. The aim this review is present issues related use phages UTIs various etiological origins selected patients, those comorbidities, taking into account legal regulations, effectiveness experimental therapy. growing prevalence MDR uropathogens highlights urgent need for therapies, such based on order treat antibiotic-resistant improve patient outcomes. Despite great PT, clinical implementation routine requires rigorous trials, standardized production protocols regulatory advancements.

Язык: Английский

Процитировано

0
Natural Language Processing for Everyone DOI
Quirin Strotzer

Radiology Artificial Intelligence, Год журнала: 2025, Номер 7(3)

Опубликована: Апрель 16, 2025

Язык: Английский

Процитировано

0
Performance of GPT-4 Turbo and GPT-4o in Korean Society of Radiology In-Training Examinations DOI
Arum Choi, Hyun Gi Kim, Moon Hyung Choi

и другие.

Korean Journal of Radiology, Год журнала: 2025, Номер 26

Опубликована: Янв. 1, 2025

Despite the potential of large language models for radiology training, their ability to handle image-based radiological questions remains poorly understood. This study aimed evaluate performance GPT-4 Turbo and GPT-4o in resident examinations, analyze differences across question types, compare results with those residents at different levels. A total 776 multiple-choice from Korean Society Radiology In-Training Examinations were used, forming two sets: one originally written other translated into English. We evaluated (gpt-4-turbo-2024-04-09) (gpt-4o-2024-11-20) on these temperature set zero, determining accuracy based majority vote five independent trials. analyzed using type (text-only vs. image-based) benchmarked them against nationwide residents' performance. The impact input (Korean or English) model was examined. outperformed both (48.2% 41.8%, P = 0.002) text-only (77.9% 69.0%, 0.031). On questions, showed comparable that 1st-year (41.8% 48.2%, respectively, 43.3%, 0.608 0.079, respectively) but lower than 2nd- 4th-year (vs. 56.0%-63.9%, all ≤ 0.005). For performed better years (69.0% 77.9%, 44.7%-57.5%, 0.039). Performance English- Korean-version no significant either (all ≥ 0.275). types. models' matched higher-year residents. Both demonstrated superior compared questions. consistent performances English inputs.

Язык: Английский

Процитировано

0