Harnessing artificial intelligence role in oral cancer diagnosis and prediction: A comprehensive exploration by Archana Behera, N. Aravindha Babu, Remya Rajan Renuka, Mukesh Kumar Dharmalingam Jothinathan

“…The systems involving collaboration pathologists witness higher abnormality detection and treatment planning, thereby bettering the diagnosis precision and the quality of care. …”
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A comparative assessment of machine learning models and algorithms for osteosarcoma cancer detection and classification by Amoakoh Gyasi-Agyei

“…Machine learning (ML) models trained on disease datasets are more effective in detection and classification than the conventional methods with hand-crafted features highly dependent on pathologists’ expertise. A publicly available raw osteosarcoma dataset was explored and then preprocessed using different combinations of data denoising techniques (including principal component analysis, mutual information gain, analysis of variance and Kendall’s rank correlation analysis) and data augmentation to derive seven different datasets. …”
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Morphological and immunohistochemical analysis in encapsulated follicular variant papillary thyroid carcinoma, invasive follicular variant papillary thyroid carcinoma and a new ent... by Zeliha Çelik, Naile Kökbudak, Fahriye Kilinç, Pembe Oltulu

“…When evaluating whether the IHC expression patterns used in PTCs differ in NIFTP cases, it was found that CD44 could serve as an additional IHC stain that may guide pathologists during the diagnosis.…”
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What’s beyond the core? Database coverage in qualitative information reveal by Jennifer Horton, David Kaunelis, Danielle Rabb, Andrea Smith

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Effects and Mechanisms of Silibinin on Influenza A/H1N1 Pathogenesis in a Mouse Model by Mohsen Keshavarz, Mohsen Ghorbani, Forough Shamsizadeh, Haideh Namdari, Vahid Salimi, Farhad Rezaei

“…Finally, pathological damage to lung tissue was assessed by pathologists. The results reveal that silibinin pretreatment exhibits a dose-dependent immunomodulatory effect on IFN-γ and IL-10 levels. …”
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Diagnosing Oncocytoma by Core Needle Biopsy: A Single-Center Experience by Chen Mayer, Yasmin Abu-Ghanem, Zohar A. Dotan, Iris Barshack, Eddie Fridman

“…Our study demonstrates that with good patient selection and proficient cooperation between urologists, radiologists and dedicated uro-pathologists, correctly diagnosing oncocytomas using RCB is a viable task. …”
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A comparative study of breast lesions using the IAC Yokohama System for reporting breast cytopathology against histopathological biopsy by Chandrakala Joshi, Ruchi Varma, Shruti Tiwari Pande

“…Conclusion: Implementing the IAC Yokohama System for reporting breast cytopathology through structured reporting will enhance the quality, clarity, and reproducibility of reports among pathologists and clinicians, which would result in enhanced patient care and management.…”
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Corrosive induced esophageal and gastric injury: Histopathological evaluation of surgically resected specimens over a decade in a tertiary care center by Jimil Shah, Anuraag Jena, Shweta Shweta, Kim Vaiphei, Vikas Gupta, Naveen Kumar, Anupam K Singh, Rakesh Kochhar

“…Pathological examination was conducted by two independent gastro-pathologists to evaluate the extent and depth of the caustic injury, presence or absence of tissue necrosis, type and degree of inflammation, or presence of any dysplastic cells. …”
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Characteristics of successful expansion of tumor-infiltrating lymphocytes from colorectal cancer liver metastasis by Jina Baek, Gyuheon Choi, GunHee Lee, Hyun Lee, Gyungyub Gong, Hye Seon Park, Chae-Lyul Lim, Joo Young Kim, Hee Jin Lee

“…Histologic examination including the level of stromal TILs and Klintrup-Mäkinen score, were assessed by pathologists and deep learning-derived spatial analysis. …”
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PlantAIM: A new baseline model integrating global attention and local features for enhanced plant disease identification by Abel Yu Hao Chai, Sue Han Lee, Fei Siang Tay, Hervé Goëau, Pierre Bonnet, Alexis Joly

“…Conventionally, detection has relied on plant pathologists, but recent advances in deep learning, particularly the Vision Transformer (ViT) and Convolutional Neural Network (CNN), have made it feasible for automated plant disease identification. …”
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Evaluation of the significance of tumor stromal patterns and peri-tumoral inflammation in head and neck squamous cell carcinoma with special reference to the Yamamoto–Kohama classi... by Geet Bhuyan, Prabir Hazarika, Anju M. Rabha

“…The hematoxylin and eosin (H and E)-stained sections from all cases were examined by two experienced pathologists for the grade, nature of stomal reaction (SR), peri-tumoral inflammatory infiltration, Yamamoto–Kohama classification grade, worst pattern of invasion (WPOI), depth of invasion (DOI), and other histopathological parameters. …”
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A re-look at the modified Ryan regression scoring system in esophageal cancer—validation of prognostic significance and comparison with other less commonly used systems by Paromita Roy, Rupanita Biswal, Sayali N. Honap, Robin Thambudorai, Tapesh Bhattacharyya, Indranil Mallick

“…Materials and Methods: Two pathologists independently reviewed all cases of post-NACRT (CROSS) EC, to score TRGs and other histological parameters. …”
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Assessment of endometrial carcinoma on biopsy as a predictor of final surgical pathology: Are we doing it right? A completed audit cycle and recommendations by Aneeta Jassar, Nour Hemali, Anjali Bhatnagar

“…Settings and Design: The audit was approved by the Clinical Effectiveness Team of the Royal College of Pathologists (UK) as meeting all the criteria and standards set out by the College. …”
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Il-6 and MSH3 in colorectal carcinoma: Expression, relationship, and prognostic significance in 171 colorectal carcinoma cases by Elif Kolay Bayram, Betul Ogut, Mehmet Arda Inan, Ayse Dursun

“…Materials and Methods: IL-6 and MSH3 IHC and H and E slides were evaluated by two pathologists. Clinical data were obtained from the institution’s database. …”
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Evaluation of the histopathological spectrum of skin biopsies in patients with chronic kidney disease: A single-center experience by Amany A Fathaddin

“…The quality of life of CKD patients will be significantly improved by identifying and managing these conditions. Pathologists’ familiarity with this spectrum is important, as a correct histopathologic diagnosis will lead to a better outcome.…”
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A Gamut of Astounding Diagnosis as Paraganglioma of Urinary Bladder: A Retrospective Study from North India by Nazia Manzoor Walvir, Aiffa Aiman, Inara Abeer, Mohammad Iqbal Lone, Shadab Maqsood

“…This study aimed to describe the histopathology of UBPGL, emphasizing the histologic attributes that may help pathologists recognize this rare bladder tumor and aid in differentiation from urothelial malignancies and other tumors that may resemble paragangliomas. …”
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“The impact of orthognathic surgery on articulation proficiency and speech intelligibility in skeletal Class III malocclusion: 18 months follow up” by Chaman Lal, Mukul Kumar, Sanjeev Verma, Vinay Kumar, Raj Kumar Verma, Satinder Pal Singh, Vidya Rattan, Sanjay Munjal

“…Three qualified and experienced speech and language pathologists evaluated articulation errors and intelligibility of speech samples. …”
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Advancing the application of the analytical renal pathology system in allograft IgA nephropathy patients by Xumeng Liu, Huiwen Fang, Dongmei Liang, Qunjuan Lei, Jiaping Wang, Feng Xu, Shaoshan Liang, Dandan Liang, Fan Yang, Heng Li, Jianghua Chen, Yuan Ni, Guotong Xie, Caihong Zeng

“…Consistency between the ARPS and pathologists was assessed using intraclass correlation coefficients. …”
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Quantitative immunohistochemistry analysis of breast Ki67 based on artificial intelligence by Wang Wenhui, Gong Yitang, Chen Bingxian, Guo Hualei, Wang Qiang, Li Jing, Jin Cheng, Gui Kun, Chen Hao

“…However, it is difficult to accurately and quantitatively evaluate the count of positive nucleus during the diagnosis process of pathologists, and the process is time-consuming and labor-intensive. …”
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Out-of-distribution generalization for segmentation of lymph node metastasis in breast cancer by Yiannis Varnava, Kiran Jakate, Richard Garnett, Dimitrios Androutsos, Pascal N. Tyrrell, April Khademi

“…Abstract Pathology provides the definitive diagnosis, and Artificial Intelligence (AI) tools are poised to improve accuracy, inter-rater agreement, and turn-around time (TAT) of pathologists, leading to improved quality of care. A high value clinical application is the grading of Lymph Node Metastasis (LNM) which is used for breast cancer staging and guides treatment decisions. …”
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