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Deep Learning–Based Precision Cropping of Eye Regions in Strabismus Photographs: Algorithm Development and Validation Study for Workflow Optimization

Deep Learning–Based Precision Cropping of Eye Regions in Strabismus Photographs: Algorithm Development and Validation Study for Workflow Optimization

First, we add the intersection points of the two rectangles to set P (eg, points I, J, K, and L in Figure 2 B), including the vertices of one rectangle located within the other into set P (eg, points A and C in Figure 2 B). Then, we sort the points in set P to form a convex polygon (eg, polygon AIJCKL in Figure 2 B). Triangulation yields a set of triangles (shown in Figure 2 B as △AIJ, △AJC, △ACK, △AKL). The polygon’s area is the sum of these triangles’ areas.

Dawen Wu, Yanfei Li, Zeyi Yang, Teng Yin, Xiaohang Chen, Jingyu Liu, Wenyi Shang, Bin Xie, Guoyuan Yang, Haixian Zhang, Longqian Liu

J Med Internet Res 2025;27:e74402

Ligation of the Pancreatic Stump With Quantified Force During Distal Pancreatectomy for Postoperative Pancreatic Fistula: Protocol for a Single-Center Nonrandomized Controlled Clinical Study

Ligation of the Pancreatic Stump With Quantified Force During Distal Pancreatectomy for Postoperative Pancreatic Fistula: Protocol for a Single-Center Nonrandomized Controlled Clinical Study

Using the formula n = 2p̅q̅(Zα+Zβ)2/(p1-p2)2 for sample size calculation with the probability of type I error of .05 and the statistical power of .90, we estimated that 30 participants should be included in each group. All statistical analyses will be conducted using SAS software (version 9.3; SAS Institute). Normality tests will be conducted for measurement data, describing the mean, standard deviation, median, quartiles, minimum, and maximum values based on the distribution type.

Lufeng Chang, Jiongxin Xiong, Ming Yang, Yuxin Yang, Tao Peng, Tao Yin, Heshui Wu, Shanmiao Gou

JMIR Res Protoc 2025;14:e74018

User-Driven Development of a Digital Behavioral Intervention for Chronic Pain: Multimethod Multiphase Study

User-Driven Development of a Digital Behavioral Intervention for Chronic Pain: Multimethod Multiphase Study

I put more stock in ACT. Acceptance, which is something I’ve worked really hard on because I’ve been a bit black or white.” [Patient 5] “I personally would have had a more difficult time if [I] met the patients face-to-face in this type of treatment without any support... Having a treatment program that you follow, I feel that the knowledge I have [then] about chronic pain is good enough.”

Afra Selma Taygar, Sara Laureen Bartels, Rocío de la Vega, Ida Flink, Linnéa Engman, Suzanne Petersson, Sophie I Johnsson, Katja Boersma, Lance M McCracken, Rikard K Wicksell

JMIR Form Res 2025;9:e74064