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Localization and Classification of Adrenal Masses in Multiphase Computed Tomography: Retrospective Study

Localization and Classification of Adrenal Masses in Multiphase Computed Tomography: Retrospective Study

Therefore, for adrenal masses, rapid and accurate localization and identification through noninvasive methods are of great significance for disease management. Contrast-enhanced CT, as a noninvasive examination, can provide important references for the classification of adrenal masses [7].

Liuyang Yang, Xinzhang Zhang, Zhenhui Li, Jian Wang, Yiwen Zhang, Liyu Shan, Xin Shi, Yapeng Si, Shuailong Wang, Lin Li, Ping Wu, Ning Xu, Lizhu Liu, Junfeng Yang, Jinjun Leng, Maolin Yang, Zhuorui Zhang, Junfeng Wang, Xingxiang Dong, Guangjun Yang, Ruiying Yan, Wei Li, Zhimin Liu, Wenliang Li

J Med Internet Res 2025;27:e65937

Development and Evaluation of a Mental Health Chatbot Using ChatGPT 4.0: Mixed Methods User Experience Study With Korean Users

Development and Evaluation of a Mental Health Chatbot Using ChatGPT 4.0: Mixed Methods User Experience Study With Korean Users

The localization process involved adapting the chatbot’s dialogue to ensure natural conversation flow, accurate language translation, and cultural sensitivity [17]. The Ho Meme Town chatbot was developed to support both English and Korean languages to cater to a wider audience. The localization process involved adapting the chatbot’s dialogue to ensure natural conversation flow, accurate language translation, and cultural sensitivity [17].

Boyoung Kang, Munpyo Hong

JMIR Med Inform 2025;13:e63538

In-Home Positioning for Remote Home Health Monitoring in Older Adults: Systematic Review

In-Home Positioning for Remote Home Health Monitoring in Older Adults: Systematic Review

Other systematic reviews on indoor localization have focused on the technical measures of accuracy or the range of technologies that could be used to detect activities with localization techniques [31,32]. The focus of this review is to review currently available localization technologies being used for clinical purposes, including the acceptability of devices and measurement of clinical outcomes or diagnoses.

Andrew Chan, Joanne Cai, Linna Qian, Brendan Coutts, Steven Phan, Geoff Gregson, Michael Lipsett, Adriana M Ríos Rincón

JMIR Aging 2024;7:e57320

Changes in Glycemic Control Following Use of a Spanish-Language, Culturally Adapted Diabetes Program: Retrospective Study

Changes in Glycemic Control Following Use of a Spanish-Language, Culturally Adapted Diabetes Program: Retrospective Study

Interventions that use m Health are highly customizable and have immense potential for localization, which is the “adaptation of a product, application, or document content to meet the language, cultural, and other requirements of a specific target market” [15]. Due to this, m Health interventions for diabetes treatment are becoming more commonplace and have been shown to be effective in both improving glycemic control and providing cost savings for English-speaking participants [14,16].

Caitlyn Edwards, Elisa Orellana, Kelly Rawlings, Mirta Rodriguez-Pla, Aarathi Venkatesan

JMIR Form Res 2022;6(12):e40278

Measuring Mobility and Room Occupancy in Clinical Settings: System Development and Implementation

Measuring Mobility and Room Occupancy in Clinical Settings: System Development and Implementation

Hospitals are no strangers to localization technologies [1]. Indoor localization has seen significant technological improvements in recent years [2]—the relatively inexpensive Bluetooth low energy (BLE) beacons and Apple’s i Beacon standard have brought indoor localization closer to mainstream use. Most of the applications in hospitals and clinical settings have focused on process mining [3] or real-time localization [4], that is, locating people or assets quickly and accurately.

Gabriele Marini, Benjamin Tag, Jorge Goncalves, Eduardo Velloso, Raja Jurdak, Daniel Capurro, Clare McCarthy, William Shearer, Vassilis Kostakos

JMIR Mhealth Uhealth 2020;8(10):e19874