Early Detection of Microvascular Changes in Patients with Diabetes Mellitus without and with Diabetic Retinopathy: Comparison between Different Swept-Source OCT-A Instruments by Stela Vujosevic, Caterina Toma, Edoardo Villani, Valentina Gatti, Marco Brambilla, Andrea Muraca, Maria Chantal Ponziani, Gianluca Aimaretti, Alessandro Nuzzo, Paolo Nucci, Stefano De Cilla’

“…All quantitative analyses were performed using ImageJ and included vessel and perfusion density, area and circularity index of the FAZ, and vascular complexity parameters. …”
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Subjective and objective stress during body exposure: a comparison of adolescents with anorexia nervosa versus high body dissatisfaction by Valeska Stonawski, Louisa Kuper, Nicolas Rohleder, Gunther H. Moll, Hannah Fischer, Anne-Christine Plank, Tanja Legenbauer, Oliver Kratz, Stefanie Horndasch

“…As a clinical core symptom and a relevant maintaining factor of AN, body image disturbance and BD are highly relevant target variables for therapeutic interventions. …”
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Investigation of 3D iris morphology early alteration after implantable collamer lens implantation by using SS-OCT by Zhengwei Zhang, Shuimiao Chang, Kaiwen Li, Jinhan Yao, Zhao Wang, Jiewei Liu, Lin Jiang, Feiyan Chai, Xiaogang Wang

“…A multitask network automatically performed iris SS-OCT image segmentation and quantitative measurements of 3D iris morphology (iris thickness and volume of the inner 1-mm annular area and the outer 1–2-mm annular area, iris curvature [I-Curve], and iris smooth index [SI]). …”
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Improved SED-fitting Assumptions Result in Inside-out Quenching at z ~ 0.5 and Quenching at All Radii Simultaneously at z ~ 1 by Alexander de la Vega, Susan A. Kassin, Camilla Pacifici, Stéphane Charlot, Emma Curtis-Lake, Jacopo Chevallard, Timothy M. Heckman, Anton M. Koekemoer, Weichen Wang

“…We then perform radial SED fits to multiband flux profiles measured from Hubble Space Telescope images for 1440 galaxies at 0.4 <  z  < 1.5 of stellar masses 10 ^10 –10 ^11.5 M _⊙ using both the traditional and the more physically motivated assumptions. …”
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Decreased prefrontal activation during verbal fluency task after repetitive transcranial magnetic stimulation treatment for depression in Alzheimer’s disease: a functional near-inf... by Yuanzhi Zhao, Yuanzhi Zhao, Conglong Qiu, Conglong Qiu, Ping Lin, Ping Lin, Mei Yang, Mei Yang, Ling Huang, Ling Huang, Zheng Zhao, Zheng Zhao, Xiangping Wu, Dongsheng Zhou, Dongsheng Zhou

“…The underlying cortical changes were imaged using fNIRS. Prefrontal activation measured by fNIRS is a potential biomarker for monitoring the response of patients with depression in AD to rTMS treatment.…”
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Artificial intelligence-based spatial analysis of tertiary lymphoid structures and clinical significance for endometrial cancer by Haruka Suzuki, Kohei Hamada, Junzo Hamanishi, Akihiko Ueda, Ryusuke Murakami, Mana Taki, Rin Mizuno, Koichi Watanabe, Hanako Sato, Yuko Hosoe, Hiroaki Ito, Koji Yamanoi, Hiroyuki Yoshitomi, Nobuyuki Kakiuchi, Ken Yamaguchi, Noriomi Matsumura, Seishi Ogawa, Hideki Ueno, Masaki Mandai

“…To comprehensively investigate the distribution of TLSs, we developed an artificial intelligence model to detect TLSs and determine their spatial locations in whole-slide images. Our model effectively quantified TLSs, and TLSs were detected in 69% of the patients with EC. …”
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Stent-graft implantation for late postpancreatectomy hemorrhage after pancreatoduodenectomy by Xiaoye Li, Shibo Xia, Liangxi Yuan, Lei Zhang, Chao Song, Xiaolong Wei, Qingsheng Lu

“…Patients' medical and radiologic images were retrospectively reviewed. Technical and clinical success, complications, and stent-graft patency were evaluated. …”
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XSE-TomatoNet: An explainable AI based tomato leaf disease classification method using EfficientNetB0 with squeeze-and-excitation blocks and multi-scale feature fusion by Md Assaduzzaman, Prayma Bishshash, Md. Asraful Sharker Nirob, Ahmed Al Marouf, Jon G. Rokne, Reda Alhajj

“…We also used LIME and SHAP for model interpretability, offering insights into the decision-making process, and employed Grad-CAM and Grad-CAM++ to visually highlight key areas in leaf images. Finally, the best model was integrated into a web-based system for practical use by tomato cultivators. • XSE-TomatoNet is an enhanced version of EfficientNetB0 which incorporates Squeeze-and-Excitation (SE) blocks and multi-scale feature fusion. • XSE-TomatoNet outperformed MobileNet (87.44%) and VGG-19 (95.50%), in terms of accuracy, achieving 99.41%. • Integration of interpretation using LIME and SHAP models gives higher level understanding of the diseases and employment of Grad-CAM and Grad-CAM++ shows visual representation of the diseased leaves.…”
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Trends to shorter diagnostic delay in spondyloarthritis patients during the last decades and association with clinical presentation: data from ASAS-COMOSPA study by Robert Landewé, Désirée van der Heijde, Filip van den Bosch, Maxime Dougados, Anna Molto, Stefan Siebert, Juergen Braun, Yuko Kaneko, Adeline Ruyssen-Witrand, Martin Soubrier, Atsuo Taniguchi, Masato Okada, Alain Cantagrel, Shigeto Kobayashi, Jon Packham, Philippe Goupille, Rene-Marc Flipo, Alain Saraux, Philippe Gaudin, Roberto Caporali, Raj Sengupta, James Cheng-Chung Wei, Tetsuya Tomita, Fernando Pimentel-Santos, Alberto Ortiz, Gaëlle Varkas, Alejandro Martínez, Shigeyoshi Tsuji, Alejandro Alvarellos, José Maldonado-Cocco, Yoshinori Taniguchi, Fadoua Allali, Raquel Almodovar González, Elena Alonso Blanco-Morales, Maria Aparicio Espinar, Pamir Atagunduz, Pauline Bakker, Leila Benbrahim, Bahia Benchekroun, Alberto Berman, Pedro Carvalho, Gustavo Casado, Francisco Colombres, Eugenio del Miguel Mendieta, Vanesa Duarte, Cristina Fernandez Carballido, Manuel Fernandez-Prada, Pilar Font Ugalde, Dolors Grados Cánovas, Jordi Gratacós Masmitjá, Vittorio Grosso, Naomi Ichikawa, Hisashi Inoue, Taku Kawasaki, Manjari Lahiri, Hernán Maldonado-Ficco, Kazuo Matsui, Ramón Mazzuchelli Esteban, Corinne Micelli, Chisun Min, Mitsuhiro Morita, Juan Mulero Mendoza, Gisela Pendón, Dora Pereira, Hanan Rkain, Oscar Rillo, Carlos Rodriguez Lozano, Adrián Salas, Carlos Salinas-Ramos, Amelia Santosa, Caroline Spiegel, Carmen Stolwijk, Kurisu Tada, Naoho Takizawa, Chung Tei Chou, Lay-Keng Teoh, Wen-Chan Tsai, Olga Tsyplenkova, Kiana Vakil-Gilani, Rafael Valle-Oñate, Virginia Villaverde, Ai Yap, Pedro Zarco Montejo, Juan C Barreira, Juan D Diaz-Garcia, Michel De Bandt, Astrid van Tubergen, Rodolfo Pérez-Alamino, T Marhadour, Christian Waimann, Mari CruzFernandez Espartero, Jose Raul NogueraPons, José A PereiradaSilva

“…Better disease knowledge and more accessibility to new image technology could have a positive impact on time to diagnosis.Objectives The objectives are (1) to evaluate trends in time to diagnosis in SpA patients during the last decades and (2) to determine the association between clinical presentation and diagnostic delay.Methods Cross-sectional, retrospective international study, including 3984 patients with SpA diagnosis.Statistical analysis Delay in diagnosis was calculated and patients were stratified according to decade of disease onset and initial clinical presentation. …”
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Impact of water deficit on the anatomical structure of more productive and less productive cashew trees (Anacardium occidentale L.) in Côte d’Ivoire by Abdoul Rahim Falk Ky, Mory Latif Konaté, N'Guessan François Kouamé

“…The thicknesses and surface areas of the sections were measured using Image J software. The thickness of the leaves parenchymas of APHP trees did not show any variation according to the season while the stomatal density increased during the dry season. …”
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Leveraging Comprehensive Echo Data to Power Artificial Intelligence Models for Handheld Cardiac Ultrasound by D.M. Anisuzzaman, PhD, Jeffrey G. Malins, PhD, John I. Jackson, PhD, Eunjung Lee, PhD, Jwan A. Naser, MBBS, Behrouz Rostami, PhD, Grace Greason, BA, Jared G. Bird, MD, Paul A. Friedman, MD, Jae K. Oh, MD, Patricia A. Pellikka, MD, Jeremy J. Thaden, MD, Francisco Lopez-Jimenez, MD, MSc, MBA, Zachi I. Attia, PhD, Sorin V. Pislaru, MD, PhD, Garvan C. Kane, MD, PhD

“…Conclusion: Robust TTE datasets can be used to effectively power HCU deep learning models, which in turn demonstrates focused diagnostic images can be obtained with handheld devices.…”
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Severe pneumonia due to concurrent Legionella pneumophila and Acinetobacter baumannii infections: a case report by Xiaoming Yang, Zhongda Liu, Xiaojing Liu, Quan Li, Hui Huang, Yibo Wei, Tao Sun

“…His clinical symptoms gradually subsided. The repeat chest CT image showed no infiltration or pleural effusion. …”
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Large Language Models in Dental Licensing Examinations: Systematic Review and Meta-Analysis by Mingxin Liu, Tsuyoshi Okuhara, Wenbo Huang, Atsushi Ogihara, Hikari Sophia Nagao, Hiroko Okada, Takahiro Kiuchi

“…The lack of sufficient training data in dentistry has affected LLMs’ accuracy. The reliance on image-based diagnostics also presents challenges. …”
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Anti-NMDAR-Positive Small-Cell Lung Cancer Paraneoplastic Limbic Encephalitis: A Case Report and Literature Review by Raman Sohal, Steven H. Adams, Vishal Phogat, Abha Harish, Carlos Ynigo D. Lopez, Michael P. A. Williams, Kamal K. Khurana, Basel Abuzuaiter, Nia Jagroop, Bhavya Narapureddy

“…MRI showed equivocal increased FLAIR on T2-weighted images in the bilateral temporal lobes, left greater than right. …”
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The Sunburst Arc with JWST. III. An Abundance of Direct Chemical Abundances by Brian Welch, T. Emil Rivera-Thorsen, Jane R. Rigby, Taylor A. Hutchison, Grace M. Olivier, Danielle A. Berg, Keren Sharon, Håkon Dahle, M. Riley Owens, Matthew B. Bayliss, Gourav Khullar, John Chisholm, Matthew Hayes, Keunho J. Kim

“…We detect the temperature-sensitive auroral lines [S ii ] λλ 4070, 4076, [O iii ] λ 4363, [S iii ] λ 6314, [O ii ] λλ 7320, 7330, and [Ne iii ] λ 3343 in a stacked spectrum of five multiple images of the Lyman-continuum emitter (LCE), from which we directly measure the electron temperature in the low-, intermediate-, and high-ionization zones. …”
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Deep learning-based histopathological assessment of tubulo-interstitial injury in chronic kidney diseases by Nonoka Suzuki, Kaname Kojima, Silvia Malvica, Kenshi Yamasaki, Yoichiro Chikamatsu, Yuji Oe, Tasuku Nagasawa, Ekyu Kondo, Satoru Sanada, Setsuya Aiba, Hiroshi Sato, Mariko Miyazaki, Sadayoshi Ito, Mitsuhiro Sato, Tetsuhiro Tanaka, Kengo Kinoshita, Yoshihide Asano, Avi Z. Rosenberg, Koji Okamoto, Kosuke Shido

“…Renal biopsies are essential for diagnosing the etiology and prognosis of CKD, while accurate quantification of tubulo-interstitial injuries from whole slide images (WSIs) of renal biopsy specimens is challenging with visual inspection alone. …”
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Ultrasound-guided vs. fluoroscopy-guided percutaneous leverage reduction for severely displaced radial neck fractures in children: a comparative analysis of clinical and radiologic... by Xing Wu, Jingdong Xia, Xiongtao Li, Xiaoliang Chen, Si Wang, Xiantao Shen

“…Additionally, the US group had a significantly lower number of FL images and radiation dose (3.59 ± 1.57 times, 9.56 ± 6.08 mGy) than the FL group (22.26 ± 8.07 times, 69.68 ± 34.70 mGy; P < 0.001). …”
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Preoperative CT-based radiomics nomogram to predict the micropapillary pattern in lung adenocarcinoma of size 2 cm or less by Xiaoyu Pan, Liang Fu, Jiecai Lv, Lijuan Feng, Kai Li, Siqi Chen, Xi Deng, Liling Long

“…The region of interest of the tumor was delineated on the computed tomography (CT) images, and radiomics features were extracted. A nomogram model was established using radiomics features, clinical features and conventional radiographic features. …”
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Deep-Learning-Based Land Cover Mapping in Franciacorta Wine Growing Area by Girma Tariku, Isabella Ghiglieno, Andres Sanchez Morchio, Luca Facciano, Celine Birolleau, Anna Simonetto, Ivan Serina, Gianni Gilioli

“…This study addresses these gaps by presenting a methodology for semantic segmentation of land covers in agricultural areas using satellite images and deep learning models with pre-trained backbones. …”
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Impact of quality of life on overall work productivity impairment and activity impairment of patients with systemic lupus erythematosus: the PEONY study by Yoshiya Tanaka, Shintaro Hirata, Shingo Nakayamada, Yusuke Miyazaki, Kazuyoshi Saito, Kunihiro Yamaoka, Shigeru Iwata, Yoshiyuki Yamaguchi, Keisuke Nakatsuka, Shunpei Kosaka, Katsuhide Kusaka, Toshiki Yabe-Wada, Masakazu Fujiwara, Yoshifumi Arita, Mitsuru Hoshino, Naoko Ozaki

“…Among patients in LLDAS, overall work productivity impairment was significantly associated with the LupusPRO domains Desires-Goals, Body Image and Pain Vitality, and activity impairment was significantly associated with the LupusPRO domains Pain Vitality, Physical Health and Lupus Symptoms.Conclusions Patients with SLE in LLDAS still experience symptoms associated with activity impairment. …”
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