Search Articles

View query in Help articles search

Search Results (1 to 10 of 26 Results)

Download search results: CSV END BibTex RIS


Evaluating ChatGPT’s Efficacy in Pediatric Pneumonia Detection From Chest X-Rays: Comparative Analysis of Specialized AI Models

Evaluating ChatGPT’s Efficacy in Pediatric Pneumonia Detection From Chest X-Rays: Comparative Analysis of Specialized AI Models

With advancements and developments in artificial intelligence (AI) technology, this research aims to evaluate the effectiveness of using Chat GPT-4 to detect pneumonia on x-ray images and compare its performance with specialized CNNs. These technologies could address radiologist shortages. Community-acquired pneumonia incidence has reached 450 million cases worldwide annually [4].

Nitin Chetla, Mihir Tandon, Joseph Chang, Kunal Sukhija, Romil Patel, Ramon Sanchez

JMIR AI 2025;4:e67621

A Machine Learning–Based Prediction Model for Acute Kidney Injury in Patients With Community-Acquired Pneumonia: Multicenter Validation Study

A Machine Learning–Based Prediction Model for Acute Kidney Injury in Patients With Community-Acquired Pneumonia: Multicenter Validation Study

Acute kidney injury (AKI) is common in patients with community-acquired pneumonia (CAP), which is associated with higher morbidity and mortality, longer hospital stays, and increased financial costs. In recent years, outbreaks of pneumonia caused by new pathogens, including SARS in 2002, Middle East respiratory syndrome in 2012, and the COVID-19 pandemic in 2019, have severely strained resources and had significant societal impacts.

Mengqing Ma, Caimei Chen, Dawei Chen, Hao Zhang, Xia Du, Qing Sun, Li Fan, Huiping Kong, Xueting Chen, Changchun Cao, Xin Wan

J Med Internet Res 2024;26:e51255

Metagenomics in the Diagnosis of Pneumonia: Protocol for a Systematic Review

Metagenomics in the Diagnosis of Pneumonia: Protocol for a Systematic Review

The diagnosis of pneumonia is not pathogen specific, encompassing a range of infections by varied bacterial, viral, and fungal causes [5]. Prognoses and optimal treatments vary depending on the causative organism, and the likely pathogens change depending on the setting in which infection occurs, with pneumonia usually categorized into community-acquired pneumonia (CAP), hospital-acquired pneumonia (HAP), or ventilator-associated pneumonia (VAP).

Samuel Quarton, Alana Livesey, Charlotte Jeff, Christopher Hatton, Aaron Scott, Dhruv Parekh, David Thickett, Alan McNally, Elizabeth Sapey

JMIR Res Protoc 2024;13:e57334

Comparison of the Discrimination Performance of AI Scoring and the Brixia Score in Predicting COVID-19 Severity on Chest X-Ray Imaging: Diagnostic Accuracy Study

Comparison of the Discrimination Performance of AI Scoring and the Brixia Score in Predicting COVID-19 Severity on Chest X-Ray Imaging: Diagnostic Accuracy Study

One of the most used AI software in the COVID-19 pandemic is CAD4 COVID x-ray, which detects and scores COVID-19 pneumonia through the color heat map method. This software has been shown to be significantly superior in diagnosing COVID-19 pneumonia through CXR in 454 participants compared with 6 radiologists with an excellent area under the curve (AUC) [14].

Eric Daniel Tenda, Reyhan Eddy Yunus, Benny Zulkarnaen, Muhammad Reynalzi Yugo, Ceva Wicaksono Pitoyo, Moses Mazmur Asaf, Tiara Nur Islamiyati, Arierta Pujitresnani, Andry Setiadharma, Joshua Henrina, Cleopas Martin Rumende, Vally Wulani, Kuntjoro Harimurti, Aida Lydia, Hamzah Shatri, Pradana Soewondo, Prasandhya Astagiri Yusuf

JMIR Form Res 2024;8:e46817

The Effect of Body Temperature Changes on the Course of Treatment in Patients With Pneumonia and Sepsis: Results of an Observational Study

The Effect of Body Temperature Changes on the Course of Treatment in Patients With Pneumonia and Sepsis: Results of an Observational Study

The aim of this study was to investigate the association between body temperature and the course of intensive care unit (ICU) treatment in patients with pneumonia and sepsis and to evaluate the effect of temperature on the persistence of positive control tracheal aspirates. We performed retrospective observational data collection from January 1, 2018, to December 31, 2021. The study was performed in a medical ICU in a tertiary center and supported by an institutional research grant (grant IRP-2022/01-01).

Domen Guzelj, Anže Grubelnik, Nina Greif, Petra Povalej Bržan, Jure Fluher, Žiga Kalamar, Andrej Markota

Interact J Med Res 2024;13:e52590

Characteristics of Interstitial Pneumonia With Autoimmune Features (IPAF): Protocol for a Multicenter Prospective Study

Characteristics of Interstitial Pneumonia With Autoimmune Features (IPAF): Protocol for a Multicenter Prospective Study

Interstitial pneumonia with autoimmune features (IPAF) was defined in 2015 by the Working Group of the European Respiratory Society (ERS) and the American Thoracic Society (ATS) as interstitial pneumonia with some clinical or serological or both types of features suggesting the presence of an underlying autoimmune disorder. However, no diagnostic criteria for any autoimmune disease are met in these patients during thorough rheumatological workup [1].

Patrycja Rzepka-Wrona, Szymon Skoczyński, Wojciech J Piotrowski, Ewa Jassem, Dariusz Ziora, Adam Barczyk

JMIR Res Protoc 2023;12:e44802

Long-Term Impact of a Smartphone App on Prescriber Adherence to Antibiotic Guidelines for Adult Patients With Community-Acquired Pneumonia: Interrupted Time-Series Study

Long-Term Impact of a Smartphone App on Prescriber Adherence to Antibiotic Guidelines for Adult Patients With Community-Acquired Pneumonia: Interrupted Time-Series Study

Succession of screenshots (left to right) from the SCRIPT smartphone app, which displays the user interface in accessing antibiotic guidelines for low-risk community-acquired pneumonia as defined by a CURB-65 score of 0-1 (middle screenshot). We performed an interrupted time-series study to test the hypothesis that the provision of the SCRIPT app would increase prescriber adherence to antibiotic guidelines for hospitalized adult patients with CAP.

Chang Ho Yoon, Imogen Nolan, Gayl Humphrey, Eamon J Duffy, Mark G Thomas, Stephen R Ritchie

J Med Internet Res 2023;25:e42978

Efficacy and Safety of Direct Hemoperfusion Using Polymyxin B-Immobilized Polystyrene Column for Patients With COVID-19: Protocol for an Exploratory Study

Efficacy and Safety of Direct Hemoperfusion Using Polymyxin B-Immobilized Polystyrene Column for Patients With COVID-19: Protocol for an Exploratory Study

In terms of treatment results, idiopathic pulmonary fibrosis (IPF), which has been the subject of previous clinical studies, is the most common idiopathic interstitial pneumonia (accounts for about 50% of idiopathic interstitial pneumonia worldwide) and has a chronic and progressive course. Once advanced fibrosis progresses, irreversible honeycombing occurs, leading to an extremely poor prognosis [5,6]. The total number of Japanese patients with IPF is estimated to be at least around 10,000 [7].

Junko Terada-Hirashima, Shinyu Izumi, Daisuke Katagiri, Yukari Uemura, Ayako Mikami, Wataru Sugiura, Shinji Abe, Arata Azuma, Haruhito Sugiyama

JMIR Res Protoc 2022;11(11):e37426