Human genetic evidence enriched for side effects of approved drugs. by Eric Vallabh Minikel, Matthew R Nelson

“…There was significant heterogeneity among disease areas the SEs mapped to, with the highest positive predictive value for cardiovascular SEs. This supports the integration of human genetic evidence early in the drug discovery process to identify potential SE risks to be monitored or mitigated in the course of drug development.…”
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Transvaginal Sonographic Evaluation of the Cervix in Asymptomatic Singleton Pregnancy and Management Options in Short Cervix by Resul Arisoy, Murat Yayla

“…For instance, a sonographic cervical length (CL) > 30 mm and present cervical gland area have a 96-97% negative predictive value for preterm delivery at <37 weeks. Available evidence supports the use of progesterone to women with cervical length ≤25 mm, irrespective of other risk factors. …”
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A multi-data fusion deep learning model for prognostic prediction in upper tract urothelial carcinoma by Hongdi Sun, Siping Chen, Yongxing Bao, Fengyan You, Honghui Zhu, Xin Yao, Lianguo Chen, Lianguo Chen, Jiangwei Miao, Fanggui Shao, Fanggui Shao, Xiaomin Gao, Binwei Lin

“…Classification metrics were robust, with accuracy of 0.854, sensitivity of 0.889, specificity of 0.836, negative predictive value (NPV) of 0.933, and positive predictive value (PPV) of 0.744. …”
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Deep learning on T2WI to predict the muscle-invasive bladder cancer: a multi-center clinical study by Lingkai Cai, Xiao Yang, Jie Yu, Qiang Shao, Gongcheng Wang, Baorui Yuan, Juntao Zhuang, Kai Li, Qikai Wu, Peikun Liu, Ruixi Yu, Qiang Cao, Pengchao Li, Xueying Sun, Yuan Zou, Xue Fu, Xiangming Fang, Chunxiao Chen, Qiang Lu

“…The accuracy, sensitivity (SN), specificity (SP), positive predictive value (PPV) and negative predictive value (NPV) for predicting MIBC by DL model were 92.4%, 94.7%, 91.5%, 81.8% and 97.7% in the validation set and 92.1%, 86.8%, 94.6%, 88.5% and 93.8% in the internal test set. …”
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TRICKS Magnetic Resonance Angiography at 3-Tesla for Assessing Whole Lower Extremity Vascular Tree in Patients with High-Grade Critical Limb Ischemia: DSA and TASC II Guidelines Co... by Sheung-Fat Ko, Jiunn-Jye Sheu, Chen-Chang Lee, Chung-Cheng Huang, Fan-Yen Lee, Shu-Hang Ng, Yi-Wei Lee, Hon-Kan Yip, Min-Chi Chen

“…T-MRA harbored overall high sensitivity (99.5%), specificity (93.6%), positive predictive value (95.4%), negative predictive value (99.6%), and accuracy (97.7%) in depicting significant stenosis. …”
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A proposal of visual assessment of serotonergic deficits in parkinsonian syndromes: An 123I-FP-CIT SPECT study by Tomoko Totsune, Toru Baba, Yoko Sugimura, Hideki Oizumi, Hiroyasu Tanaka, Toshiaki Takahashi, Masaru Yoshioka, Ken-ichi Nagamatsu, Atsushi Takeda

“…The visual assessment-based classification showed 81.8 % sensitivity, 61.0 % specificity, 28.1 % positive predictive value, and 94.7 % negative predictive value in distinguishing PS from PD. …”
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Silent magnetic resonance angiography diagnostic value of intracranial unruptured aneurysms by Bin Lv, Tingyang Zhang, Ning Wang, Lu Liu, Mingyu Li, Meng Li, Mingguang Sun, Xiao Zang, Xinfeng Liu, Rongju Zhang, Xiangyu Cao, Zhihua Du, Jun Wang, Jinhao Lyu, Xueyang Wang, Qi Duan, Fangfang Guo, Xin Lou, Chenglin Tian

“…In terms of daughter aneurysm detection, 3D-TOF MRA Sensitivity 40%; specificity 92%: positive predictive value 100%; S-MRA sensitivity 60%; specificity 89%; positive predictive value 42%. …”
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Risk assessment of oral leukoplakia by DNA content enhanced by machine learning models by Matheus Henrique Lopes Dominguete, Vera Cavalcanti de Araújo, Fernanda Viviane Mariano, Carmen Silvia Passos Lima, João Figueira Scarini, Paulo de Camargo Moraes, Victor Angelo Martins Montalli, Larissa Agatti, Zuraiza Mohamad Zaini, Luíza Hellmeister, Marcelo Sperandio

“…Purpose: The difficulty in risk assessing oral leukoplakia (OL) for malignant transformation has recently been reduced as novel strategies based on DNA content measurements have been providing consistent and reproducible predictive values, with a major advantage of using archived material. …”
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Early prediction of menopausal status after chemotherapy in women with early breast cancer in order to optimize adjuvant endocrine therapy by Charissa van Zwol-Janssens, Mandy M. van Rosmalen, Esther Oomen-de Hoop, Jan C. Drooger, Annemieke van der Padt-Pruijsten, Hanneke J.M. Zuetenhorst, Yvonne V. Louwers, Jenny A. Visser, Joop S.E. Laven, Agnes Jager

“…This study aims to evaluate the predictive value of pretreatment anti-Müllerian hormone (AMH) serum levels for predicting resumption of ovarian function after chemotherapy (CT). …”
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Ischemia during exercise stress testing, an indication of coronary vasomotor dysfunction? by Diantha J.M. Schipaanboord, Tijn P.J. Jansen, Luuk Scherpenhuijzen, Caïa Crooijmans, Aukelien C. Dimitriu-Leen, Pim van der Harst, Tim P. van de Hoef, René van Es, Hester M. den Ruijter, Peter Damman, N. Charlotte Onland-Moret, Suzette E. Elias-Smale

“…We calculated the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) with 95% confidence intervals for the diagnosis of CVDys and its endotypes. …”
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Deep Learning for the Early Diagnosis of Candidemia by Daniele Roberto Giacobbe, Sabrina Guastavino, Anna Razzetta, Cristina Marelli, Sara Mora, Chiara Russo, Giorgia Brucci, Alessandro Limongelli, Antonio Vena, Malgorzata Mikulska, Alessio Signori, Antonio Di Biagio, Anna Marchese, Ylenia Murgia, Marco Muccio, Nicola Rosso, Michele Piana, Mauro Giacomini, Cristina Campi, Matteo Bassetti

“…For recognizing candidemia, a deep learning model showed sensitivity 0.80, specificity 0.59, positive predictive value (PPV) 0.18, weighted PPV (wPPV) 0.88, and negative predictive value (NPV) 0.96 on the training set (area under the curve [AUC] 0.69), and sensitivity 0.70, specificity 0.58, PPV 0.16, wPPV 0.87, and NPV 0.95 on the test set (AUC 0.64). …”
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Late intervention for type II endoleak is not determined by early sac diameter or volume changes after EVAR by Sneyers Bernard, Verbraeken Viktor, Laenen Annouschka, Coudyzer Walter, Mufty Hozan, Houthoofd Sabrina, Fourneau Inge, Maleux Geert

“…To compare the diagnostic accuracy and predictive value of aneurysm sac volume measurement versus maximum diameter measurement of abdominal aortic aneurysm sac after endovascular aneurysm repair (EVAR) in patients with type II endoleak.…”
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Omniview of three-dimensional ultrasound for prospective evaluation of extrathyroidal extension of differentiated thyroid cancer by Ruyu Liu, Yuxin Jiang, Xingjian Lai, Ying Wang, Luying Gao, Shenling Zhu, Xiao Yang, Ruina Zhao, Xiaoyan Zhang, Xuehua Xi, Bo Zhang

“…The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), accuracy, and area under the ROC curve (AUC) were calculated. …”
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Synovial pH, lactate, and glucose as adjunct biomarkers to exclude periprosthetic joint infection in hip and knee arthroplasty: a prospective study by D. Müller, J. Aulenbacher, N. Heine, B. Schloßmacher, V. Lallinger, G. Matziolis, R. von Eisenhart-Rothe, I. Lazic

“…The combined use of all three biomarkers yielded a negative predictive value of 84 % for the diagnosis of PJI. <strong>Conclusion</strong>: Synovial pH, lactate, and glucose may serve as valuable adjunct parameters in the diagnosis of PJI with a high negative predictive value.…”
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Classification performance and reproducibility of GPT-4 omni for information extraction from veterinary electronic health records by Judit M. Wulcan, Kevin L. Jacques, Mary Ann Lee, Samantha L. Kovacs, Nicole Dausend, Lauren E. Prince, Jonatan Wulcan, Sina Marsilio, Stefan M. Keller

“…When compared to the majority opinion of human respondents, GPT-4o demonstrated 96.9% sensitivity [interquartile range (IQR) 92.9–99.3%], 97.6% specificity (IQR 96.5–98.5%), 80.7% positive predictive value (IQR 70.8–84.6%), 99.5% negative predictive value (IQR 99.0–99.9%), 84.4% F1 score (IQR 77.3–90.4%), and 96.3% balanced accuracy (IQR 95.0–97.9%). …”
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20 Years of Experience in Office Hysteroscopy: The Largest Retrospective Study in Greece to Date by Orestis Tsonis, Fani Gkrozou, Nabila Iram, Georgios Ntritsos, Evangelos Dimitriou, Alexandros Tzallas, Angelos Daniilidis, Alexandra Papoudou-Bai, Vassiliki Siafaka, Thomas Vrekoussis, Iordanis Navrozoglou, Minas Paschopoulos

“…Comparing hysteroscopic findings with the respective histology reports revealed that in cases of normal endometrium, sensitivity of 60.9%, specificity of 92.1%, Positive Predictive Value (PPV) of 79.07% and Negative Predictive Value (NPV) 82.8% were estimated. …”
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Integration of intratumoral and peritumoral CT radiomic features with machine learning algorithms for predicting induction therapy response in locally advanced non-small cell lung... by FangHao Cai, Zhengjun Guo, GuoYu Wang, FuPing Luo, Yang Yang, Min Lv, JiMin He, ZhiGang Xiu, Dan Tang, XiaoHui Bao, XiaoYue Zhang, ZhenZhou Yang, Zhi Chen

“…Additionally, the nomogram based on INTRAPERI intra-tumoral and peritumoral features combined with independent clinical predictors has clinical predictive value.…”
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Development of a Predictive Model for Classifying Immune Checkpoint Inhibitor‐Induced Liver Injury Types by Jun Kitadai, Toshifumi Tada, Takanori Matsuura, Mayumi Ehara, Tatsuya Sakane, Miki Kawano, Yuta Inoue, Shoji Tamura, Aya Horai, Yuuki Shiomi, Yoshihiko Yano, Yuzo Kodama

“…At a cut‐off of 0.86, the sensitivity was 60.3%, specificity 74.4%, positive predictive value 92.3%, and negative predictive value 26.9%. …”
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DNA Methylation and Demethylation in Triple-Negative Breast Cancer: Associations with Clinicopathological Characteristics and the Chemotherapy Response by Kateryna Tarhonska, Mateusz Wichtowski, Thomas Wow, Agnieszka Kołacińska-Wow, Katarzyna Płoszka, Wojciech Fendler, Izabela Zawlik, Sylwia Paszek, Alina Zuchowska, Ewa Jabłońska

“…Further research in larger cohorts is necessary to validate these markers’ prognostic and predictive value.…”
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The accuracy of 3D-TUI and 3D power Doppler using Alalfy simple criteria in the diagnosis of placenta accreta spectrum by Mahmoud Alalfy, Soha Talaat Hamed, Alaa Sobhi Abd El Ghani, Ahmed Elgazzar, Amr Abbassy, Ahmed S. S. A. Rashwan, Omar Nagy, Mohamed A Shalaby, Hatem Hassan, Asmaa Ibrahem, Hesham Kamal, Reham Mahrous, Eman Kamal

“…The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy of the 3D-TUI cuts in diagnosing adherent from non-adherent were 100%, 100%, 100%, 100% and 100%, respectively. 3D TUI-cuts has a diagnostic accuracy of 98.8 percent when compared to operative findings in accurately determining the exact subtype of placenta accreta spectrum. …”
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