Journal of the American College of Radiology : JACR 
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This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.Beyond the H-Index and Toward a Comprehensive Framework
We would like to convey our gratitude for the insightful letter authored in response to our article addressing the importance of extending considerations beyond the H-index in faculty promotion assessments. The author brings attention to the drawbacks linked to the H-index, elucidating issues such as gift authorship, the impact of senior positions on credit distribution, and the potential compromise of research integrity through strategic networking. These observations align with overarching concerns regarding the dependability and sufficiency of citations and H-indices as exclusive metrics for evaluating academic contribu...
Source: Journal of the American College of Radiology : JACR - February 19, 2024 Category: Radiology Authors: Amir Hassankhani, Melika Amoukhteh, Pauravi S. Vasavada, Ali Gholamrezanezhad Tags: Letters to the Editor Source Type: research
Authors ’ Reply
We appreciate the concerns and assumptions outlined in the recent letter to the editor regarding our report on large language models in health care [1]. However, there are additional dimensions to consider regarding the potential of this technology. The capabilities of generative artificial intelligence (AI), as they exist today, represent a baseline; in other words, they are the “worst” they will ever be. Generative AI is evolving at an exponential rate, and its future capabilities are poised to far surpass its current state. (Source: Journal of the American College of Radiology : JACR)
Source: Journal of the American College of Radiology : JACR - February 17, 2024 Category: Radiology Authors: Matthew P. Lungren, Elliot K. Fishman, Linda C. Chu, Ryan C. Rizk, Steven P. Rowe Tags: Letters to the Editor Source Type: research
Point-of-Care Ultrasound for High-Risk Pregnancy Screening in Rural Nepal
By training nurses and midwives on the basics of obstetric ultrasound, high-risk pregnancies in remote Nepalese villages can be identified and triaged. American radiology residents traveling to Nepal can improve their real-time, hands-on ultrasound scanning skills while learning the intricacies of practicing medicine in a low- and middle-income country. Global outreach work is increasing in popularity among US radiologists, emphasizing the importance of training radiology residents in point-of-care ultrasound. (Source: Journal of the American College of Radiology : JACR)
Source: Journal of the American College of Radiology : JACR - February 13, 2024 Category: Radiology Authors: Rebecca E. Ward, Winston B. Joe, Saurabh Jha, Mingmar G. Sherpa Tags: Original Article Source Type: research
Enhancing Insights for Implementing Virtual Research Collaboration Program
We were genuinely interested in the study conducted by Elhakim et al [1], which examined the effectiveness of virtual research collaboration and its impact on participants’ satisfaction and research productivity. In their research, the authors highlighted positive outcomes achieved by involving students, residents, and faculty from various institutions, in res earch, through the Massachusetts General Hospital Radiology Research Training collaborative. Notably, this virtual collaboration led to a substantial amount of scholarly activity within a reasonable time frame while operating on a minimal budget. (Source: Journal...
Source: Journal of the American College of Radiology : JACR - February 13, 2024 Category: Radiology Authors: Amir Hassankhani, Melika Amoukhteh, Ali Gholamrezanezhad Tags: Letters to the Editor Source Type: research
Reply
We are pleased to read that Dr Baker and his colleagues at The Joint Commission (TJC) have taken interest in our article [1]. Furthermore, we agree with Baker ’s statement that the requirements for Ongoing Professional Practice Evaluation (OPPE) established by TJC do not dictate what data are collected, what metrics are established, and what thresholds are chosen for those metrics [2]. In addition to our statement that “accredited healthcare organizat ions are required to define their OPPE parameters, methods of data collection, and process for administering OPPE” [1], we discussed the potential downsides of this app...
Source: Journal of the American College of Radiology : JACR - February 12, 2024 Category: Radiology Authors: Lane F. Donnelly, Daniel J. Podberesky, Alexander J. Towbin, Ling Loh, Kathryne H. Basta, Terry S. Platchek, Michael T. Vossmeyer, Joan E. Shook Tags: Letters to the Editor Source Type: research
Authors ’ Reply
We are pleased to read that Dr Baker and his colleagues at The Joint Commission (TJC) have taken interest in our article [1]. Furthermore, we agree with Baker ’s statement that the requirements for Ongoing Professional Practice Evaluation (OPPE) established by TJC do not dictate what data are collected, what metrics are established, and what thresholds are chosen for those metrics [2]. In addition to our statement that “accredited healthcare organizat ions are required to define their OPPE parameters, methods of data collection, and process for administering OPPE” [1], we discussed the potential downsides of this app...
Source: Journal of the American College of Radiology : JACR - February 12, 2024 Category: Radiology Authors: Lane F. Donnelly, Daniel J. Podberesky, Alexander J. Towbin, Ling Loh, Kathryne H. Basta, Terry S. Platchek, Michael T. Vossmeyer, Joan E. Shook Tags: Letters to the Editor Source Type: research
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(Source: Journal of the American College of Radiology : JACR)
Source: Journal of the American College of Radiology : JACR - February 1, 2024 Category: Radiology Source Type: research
The Neiman Imaging Comorbidity Index: Development and Validation in a National Commercial Claims Database
To build the Neiman Imaging Comorbidity Index (NICI), based on variables available in claims datasets, which provides good discrimination of an individual ’s chance of receiving advanced imaging (CT, MR, PET), and thus, utility as a control variable in research. (Source: Journal of the American College of Radiology : JACR)
Source: Journal of the American College of Radiology : JACR - January 24, 2024 Category: Radiology Authors: Casey E. Pelzl, Andrew B. Rosenkrantz, Elizabeth Y. Rula, Eric W. Christensen Tags: Original Article Source Type: research
Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement From the ACR, CAR, ESR, RANZCR & RSNA
Artificial intelligence (AI) carries the potential for unprecedented disruption in radiology, with possible positive and negative consequences. The integration of AI in radiology holds the potential to revolutionize healthcare practices by advancing diagnosis, quantification, and management of multiple medical conditions. Nevertheless, the ever-growing availability of AI tools in radiology highlights an increasing need to critically evaluate claims for its utility and to differentiate safe product offerings from potentially harmful, or fundamentally unhelpful ones. (Source: Journal of the American College of Radiology : JACR)
Source: Journal of the American College of Radiology : JACR - January 22, 2024 Category: Radiology Authors: Adrian P. Brady, Bibb Allen, Jaron Chong, Elmar Kotter, Nina Kottler, John Mongan, Lauren Oakden-Rayner, Daniel Pinto dos Santos, An Tang, Christoph Wald, John Slavotinek Tags: Original Article Source Type: research
Radiologists ’ Out-of-Network Billing Trends, 2007 to 2021
Given the financial hardships of surprise billing for patients, the aim of this study was to assess the degree to which radiologists effectively participate in commercial insurance networks by examining the trend in the share of radiologists ’ imaging claims that are out of network (OON). (Source: Journal of the American College of Radiology : JACR)
Source: Journal of the American College of Radiology : JACR - January 19, 2024 Category: Radiology Authors: Jay R. Parikh, Alexandra R. Drake, Mikki D. Waid, Elizabeth Y. Rula, Eric W. Christensen Tags: Original Article Source Type: research
Generative Artificial Intelligence: A Promising Instrument for Daily Living and Clinical Practice
We read with great interest the article by Gordon et al, which aims to assess the accuracy, relevance, and readability of generative language artificial intelligence (AI) in responding to common patient questions regarding radiology reports [1]. (Source: Journal of the American College of Radiology : JACR)
Source: Journal of the American College of Radiology : JACR - January 16, 2024 Category: Radiology Authors: Gustavo Adolfo Triana Rodriguez, Mar ía M. Rojas-Rojas, Katherine Sotomayor, Juan P. Ovalle, José David Cardona Ortegón Tags: Letter to the Editor Source Type: research
Generative AI: A Promising Instrument for Daily Living and Clinical Practice
(Source: Journal of the American College of Radiology : JACR)
Source: Journal of the American College of Radiology : JACR - January 16, 2024 Category: Radiology Authors: Gustavo Adolfo Triana Rodriguez, Mar ía M. Rojas-Rojas, Katherine Sotomayor, Juan P. Ovalle, José David Cardona Ortegón Tags: Letter Source Type: research
The Application of Large Language Models for Radiologic Decision Making
Large language models (LLMs) have seen explosive growth, but their potential role in medical applications remains underexplored. Our study investigates the capability of LLMs to predict the most appropriate imaging study for specific clinical presentations in various subspecialty areas in radiology. (Source: Journal of the American College of Radiology : JACR)
Source: Journal of the American College of Radiology : JACR - January 13, 2024 Category: Radiology Authors: Hossam A. Zaki, Andrew Aoun, Saminah Munshi, Hazem Abdel-Megid, Lleayem Nazario-Johnson, Sun Ho Ahn Tags: Original Article Source Type: research
Beyond Leadership and Followership: Stewardship
(Source: Journal of the American College of Radiology : JACR)
Source: Journal of the American College of Radiology : JACR - January 13, 2024 Category: Radiology Authors: Richard B. Gunderman Tags: Opinion Source Type: research
The Application of LLMs for Radiologic Decision-Making
Large Language Models (LLMs) have seen explosive growth, but their potential role in medical applications remains underexplored. Our study investigates the capability of LLMs to predict the most appropriate imaging study for specific clinical presentations in various subspecialty areas in radiology. (Source: Journal of the American College of Radiology : JACR)
Source: Journal of the American College of Radiology : JACR - January 13, 2024 Category: Radiology Authors: Hossam A. Zaki, Andrew Aoun, Saminah Munshi, Hazem Abdel-Megid, Lleayem Nazario-Johnson, Sun Ho Ahn Source Type: research
