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Last update 08 Mar 2025
Jaipur Golden Hospital
Last update 08 Mar 2025
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NCT04770948
A Study Evaluating the Diagnostic Yield and Safety of the 19-GaUge vs 22-Gauge EBUS-TBNA Needle in Subjects With Suspected Sarcoidosis (GUESS)
CTRI/2020/03/024170
Comparison Of Efficacy Of Nebulised Levosalbutamol Vs Levosalbutamol Metered Dose Inhaler-Spacer: A Single Centre Open Label Randomized Controlled Trial In Hospitalized Children With Wheezing
CTRI/2016/09/007254
Efficacy of low dose magnesium sulphate on attenuation of hemodynamic responses to tracheal intubation and carboperitoneum during laparoscopic cholecystectomy- a randomized, double-blind, placebo controlled study
100 Clinical Results associated with Jaipur Golden Hospital
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01 Mar 2025Lung India
Case series of Y shaped self-expanding metallic stents (Y-SEMS) for central airway obstruction - Experience of deployment with ‘Single Guide Wire’ technique
Article
Author: Goyal, Rajiv ; Shah, Jeenam ; Jain, Akhilesh ; Murugan, Avinash ; Jain, Amit ; Ahuja, Abhijit ; Chokhani, Arushi ; Ravi, Ajay ; Raman, Sankar N. ; Hibare, Kedar ; Kadam, Dhammdeep ; Aggarwal, Manish Kumar ; Shah, Eshita ; Kottasiamy, Ramasubramaniam ; Mangla, Pankul ; Nemani, Chetan ; Deshpande, Anurag ; Raiya, Sagar
20 Dec 2024Cureus Journal of Medical Science
A Comparative Study of ChatGPT and BingAI in Answering the National Eligibility Entrance Test for Postgraduates (NEET-PG)-Style Practice Questions: A Cross-Sectional Analysis
Article
Author: Ramnani, Subhav ; Bhalla, Manik ; Bassi, Radhika
PURPOSE:
The integration of artificial intelligence (AI) into medical education has witnessed significant progress, particularly in the domain of language models. This study focuses on assessing the performance of two notable language models, ChatGPT and BingAI Precise, in answering the National Eligibility Entrance Test for Postgraduates (NEET-PG)-style practice questions, simulating medical exam formats.
METHODS:
A cross-sectional study conducted in June 2023 involved assessing ChatGPT and BingAI Precise using three sets of NEET-PG practice exams, comprising 200 questions each. The questions were categorized by difficulty levels (easy, moderate, difficult), excluding those with images or tables. The AI models' responses were compared to reference answers provided by the Dr. Bhatia Medical Coaching Institute (DBMCI). Statistical analysis was employed to evaluate accuracy, coherence, and overall performance across different difficulty levels.
RESULTS:
In the analysis of 600 questions across three test sets, both ChatGPT and BingAI demonstrated competence in answering NEET-PG style questions, achieving passing scores. However, BingAI consistently outperformed ChatGPT, exhibiting higher accuracy rates across all three question banks. The statistical comparison indicated significant differences in correct answer rates between the two models.
CONCLUSIONS:
The study concludes that both ChatGPT and BingAI have the potential to serve as effective study aids for medical licensing exams. While both models showed competence in answering questions, BingAI consistently outperformed ChatGPT, suggesting its higher accuracy rates. Future improvements, including enhanced image interpretation, could further establish these large language models (LLMs) as valuable tools in both educational and clinical settings.
01 Nov 2024Journal of orthopaedic case reports
Technical Note in Case Series a Novel Recent Technique for the Removal of Broken PFNA-II Blade in Intertrochanteric Fractures is a Technical Challenge.
Article
Author: Chhawra, Sanjay ; Nagar, Amit Kumar ; Anand, Rishav ; Jain, Raman ; Karnati, Ashok Reddy
Introduction:
Proximal femoral nail antirotation - II (PFNA- II) is a common treatment for intertrochanteric fractures in the elderly. Removing PFNA is difficult in rare circumstances due to blade head stripping or breaking. In this article, we endeavored to explain an easy methodology that can be utilized to remove stripped, damaged anti-rotation blades for which few had been formulated but other procedures have failed.
Materials and Methods:
In four cases, one case is discussed 15 months following the prior fixation; the individual underwent PFNA removal surgery for a broken implant causing pain. We had trouble removing the anti-rotation blade with the standard equipment.
Result:
The procedure assisted us in removing the anti-rotation blade and provided a favorable outcome for the patient.
Conclusion:
The insertion of a DHS guide wire with a coupling screw for inserting DHS screw in conjunction with a proximal femoral anti-rotation blade may be a cost-effective and simple approach to dealing with extraction failure.
100 Deals associated with Jaipur Golden Hospital
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100 Translational Medicine associated with Jaipur Golden Hospital
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