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External Validation of an Upgraded AI Model for Screening Ileocolic Intussusception Using Pediatric Abdominal Radiographs: Multicenter Retrospective Study

External Validation of an Upgraded AI Model for Screening Ileocolic Intussusception Using Pediatric Abdominal Radiographs: Multicenter Retrospective Study

For definitive diagnosis, abdominal ultrasonography is the modality of choice, offering sensitivity and specificity exceeding 97% by detecting the characteristic target or doughnut-shaped bowel loops [1,3]. Despite its accuracy, ultrasonography availability is limited in many hospitals lacking 24-hour radiologists or radiographers, delaying diagnosis and increasing the risk of bowel obstruction progression.

Jeong Hoon Lee, Pyeong Hwa Kim, Nak-Hoon Son, Kyunghwa Han, Yeseul Kang, Sejin Jeong, Eun-Kyung Kim, Haesung Yoon, Sergios Gatidis, Shreyas Vasanawala, Hee Mang Yoon, Hyun Joo Shin

J Med Internet Res 2025;27:e72097

Fetal Birth Weight Prediction in the Third Trimester: Retrospective Cohort Study and Development of an Ensemble Model

Fetal Birth Weight Prediction in the Third Trimester: Retrospective Cohort Study and Development of an Ensemble Model

Ultrasonography has become the most common auxiliary examination in obstetrics because of its security. In the vast majority of patient populations, ultrasound data need not be discarded. Our predictive model maximizes the clinical use of ultrasound and has significant implications for antenatal monitoring, antenatal assessment, intrapartum decision-making, and postpartum care.

Jing Gao, Xu Jie, Yujun Yao, Jingdong Xue, Lei Chen, Ruiyao Chen, Jiayuan Chen, Weiwei Cheng

JMIR Pediatr Parent 2025;8:e59377

A Mixed Reality–Based Telesupervised Ultrasound Education Platform on 5G Network Compared to Direct Supervision: Prospective Randomized Pilot Trial

A Mixed Reality–Based Telesupervised Ultrasound Education Platform on 5G Network Compared to Direct Supervision: Prospective Randomized Pilot Trial

Ultrasonography is skill-intensive and operator-dependent, typically requiring hands-on practice with supervision [1]. However, technological advancements, the mismatch between global medical technology supply and demand, and social distancing measures due to infectious diseases have accelerated the transition of ultrasound education from traditional in-person training to digital training [7].

Minha Kim, Meong Hi Son, Suhyeon Moon, Won Chul Cha, Ik Joon Jo, Hee Yoon

JMIR Serious Games 2025;13:e63448

Assessment of the Feasibility of Objective Parameters as Primary End Points for Patients Affected by Knee Osteoarthritis: Protocol for a Pilot, Open Noncontrolled Trial (:SMILE:)

Assessment of the Feasibility of Objective Parameters as Primary End Points for Patients Affected by Knee Osteoarthritis: Protocol for a Pilot, Open Noncontrolled Trial (:SMILE:)

In contrast, objective measurements, such as isokinetic dynamometry and ultrasonography, have been infrequently used and have shown several inconsistencies. With these considerations in mind, we conducted a thorough analysis of the existing medical literature [13] and decided to plan a double-blind RCT to test an oral formulation of HA in a calculated sample size of 80 patients with OA.

Dumitru Emanuel Dogaru, Serban Rosu, Dionisio Franco Barattini, Simone Guadagna, Luca Barattini, Bogdan Andor

JMIR Res Protoc 2024;13:e13642

Patterns of Skills Acquisition in Anesthesiologists During Simulated Interscalene Block Training on a Soft Embalmed Thiel Cadaver: Cohort Study

Patterns of Skills Acquisition in Anesthesiologists During Simulated Interscalene Block Training on a Soft Embalmed Thiel Cadaver: Cohort Study

We suggest that experienced novices probably developed transferable skills from the general experience of ultrasonography, for example, during central line insertion. Trainees characteristically tend to be overloaded with information psychomotor performance, spatial judgments, monitoring data, instruction, and intraoperative events [30,31]. Limited cognitive resources are available to enable decisive and correct decision-making.

Graeme McLeod, Mel McKendrick, Tedis Tafili, Mateo Obregon, Ruth Neary, Ayman Mustafa, Pavan Raju, Donna Kean, Gary McKendrick, Tuesday McKendrick

JMIR Med Educ 2022;8(3):e32840

Evaluation of the Quadri-Planes Method in Computer-Aided Diagnosis of Breast Lesions by Ultrasonography: Prospective Single-Center Study

Evaluation of the Quadri-Planes Method in Computer-Aided Diagnosis of Breast Lesions by Ultrasonography: Prospective Single-Center Study

As a convenient modality, breast ultrasonography plays an important role in breast cancer screening. Despite the improvements in ultrasound diagnosis with the application of new technology, dependence on operator experience remains the main limitation of ultrasound-based diagnosis [4,5].

Liang Yongping, Zhang Juan, Ping Zhou, Zhao Yongfeng, Wengang Liu, Yifan Shi

JMIR Med Inform 2020;8(5):e18251

Performance of Computer-Aided Diagnosis in Ultrasonography for Detection of Breast Lesions Less and More Than 2 cm: Prospective Comparative Study

Performance of Computer-Aided Diagnosis in Ultrasonography for Detection of Breast Lesions Less and More Than 2 cm: Prospective Comparative Study

CAD systems have been recently applied to improve diagnostic performance in breast ultrasonography. S-Detect is a CAD system based on a neural network learning algorithm [7], which applies a novel feature extraction technique and vector machine classifier that categorizes breast masses into benign or malignant depending on the suggested feature based on the BI-RADS lexicon [15].

Liang Yongping, Ping Zhou, Zhang Juan, Zhao Yongfeng, Wengang Liu, Yifan Shi

JMIR Med Inform 2020;8(3):e16334