Mechanisms of nucleus accumbens deep brain stimulation in treating mental disorders by Hanyang Ruan, Geya Tong, Minghui Jin, Kathrin Koch, Zhen Wang

“…Growing evidence supports the effectiveness of deep brain stimulation (DBS) in treating various psychiatric disorders. …”
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Deep Knowledge Tracing Integrating Temporal Causal Inference and PINN by Faming Lu, Yingran Li, Yunxia Bao

“…This paper proposes a deep knowledge tracing model that integrates temporal causal inference and the PINN (Physics-Informed Neural Network) model. …”
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Knowledge Graph–Enhanced Deep Learning Model (H-SYSTEM) for Hypertensive Intracerebral Hemorrhage: Model Development and Validation by Yulong Xia, Jie Li, Bo Deng, Qilin Huang, Fenglin Cai, Yanfeng Xie, Xiaochuan Sun, Quanhong Shi, Wei Dan, Yan Zhan, Li Jiang

“…Therefore, it has the potential to provide neurosurgeons with rapid and reliable decision support, especially in emergency conditions. The knowledge graph–enhanced deep-learning model exhibited excellent performance in the clinical practice tasks.…”
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A Multi-National Questionnaire-Based Analysis of Dental Students’ Knowledge of the Management of Deep Caries and the Exposed Pulp by Venkateshbabu Nagendrababu, Arindam Dutta, Ana Arias, Aleksandar Jakovljevic, Ahmed Hieawy, Frank C. Setzer, Jugoslav Ilic, Milos Beloica, Meric Karapinar Kazandag, Nandini Suresh, Paul V. Abbott, Raghavendra M. Shetty, Srinivasan Narasimhan, Victoria SH Yu, Vellore Kannan Gopinath, Ya Shen, Henry F. Duncan

“…Methods: An online questionnaire was distributed to evaluate student knowledge of the management of deep caries and exposed pulp related to four clinical scenarios. …”
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KITE-DDI: A Knowledge Graph Integrated Transformer Model for Accurately Predicting Drug-Drug Interaction Events From Drug SMILES and Biomedical Knowledge Graph by Azwad Tamir, Jiann-Shiun Yuan

“…Most contemporary research for predicting DDI events relies on either information from Biomedical Knowledge graphs (KG) or drug SMILES, with very few managing to merge data from both to make predictions, while others use heuristic algorithms to extract features from SMILES and KGs, which are then fed into a Deep Learning framework to generate output. …”
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Dermatofibrosarcoma protuberans misdiagnosed as keloid and treated with triamcinolone acetonide by Erick Horta Portugal, José Carlos Ribeiro Resende Alves, Rebeca Paohwa Liu da Fonseca, José de Souza Andrade Filho, Augusto César de Melo Almeida, Izabella Costa Araújo, Nárlei Amarante Pereira, Raíssa Lemos Ferreira da Silva

“…Radical surgical excision was performed, and 3 cm of healthy tissue was removed from the side margins, including the deep margin, an anatomical structure not infiltrated by the tumor. …”
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Cases of Patients Treated in Countries With Limited Resources and Discussed by Experts of the International CML Foundation (iCMLf)—Case No. 2: Treatment-Free Remission After 9 Year... by Mariana Bohns Michalowski, Meinolf Suttorp, Arlene Harriss-Buchan, Guiseppe Saglio, Nicola Evans, Nirmalya Roy Moulik

“…With the support of the International CML Foundation (iCMLf), which aims to improve outcomes for CML patients globally, this rare case from Brazil is discussed from the perspective of a pediatric hemato-oncologist from a high-income country, a pediatric hemato-oncologist from a low- and middle-income country, an adult CML hematologist, and the treating physician. Sharing cases of pCML in LMICs and highlighting the resources offered by the iCMLf, particularly the Knowledge Center (available online), will hopefully improve the expertise on pCML treatment worldwide.…”
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Medical language model specialized in extracting cardiac knowledge by Hansle Gwon, Jiahn Seo, Seohyun Park, Young-Hak Kim, Tae Joon Jun

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Learning Ordinality in Semantic Segmentation by Ricardo P. M. Cruz, Rafael Cristino, Jaime S. Cardoso

“…Semantic segmentation consists of predicting a semantic label for each image pixel. While existing deep learning approaches achieve high accuracy, they often overlook the ordinal relationships between classes, which can provide critical domain knowledge (e.g., the pupil lies within the iris, and lane markings are part of the road). …”
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Phages in Treatment of Some Deep Purulent Skin Infections by Kiladze N., Chanishvili N., Shulaia T., Bendeliani Z., Zaichenko Y.

“…The experience in phage therapy may become very important with the rapidly-increasing spread of antibiotic-resistance bacterial infections which are difficult to treat now. There is a need to develop phage therapy of purulent skin diseases, but more research is needed to understand the bacteria-bacteriophage interactions in the skin community to obtain comprehensive knowledge on different pathogenic flora.…”
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A Massive Image Recognition Algorithm Based on Attribute Modelling and Knowledge Acquisition by Guohua Li, An Liu, Huajie Shen

“…To reduce the workload of manually labelling data, this paper proposes the use of a streaming learning algorithm to automatically pass image-level semantic labels to pixel regions of an image, where the algorithm does not need to rely on external detectors and a priori knowledge of the dataset. Then, an efficient deep neural network mapping algorithm is designed and implemented for the microprocessing architecture and software programming framework of this edge processor, and a layout scheme is proposed to place the input feature maps outside the kernel DDR and the reordered convolutional kernel matrices inside the kernel storage body and to design corresponding efficient vectorization algorithms for the multidimensional matrix convolution computation, multidimensional pooling computation, local linear normalization, etc., which exist in the deep convolutional neural network model. …”
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A deep learning-based adaptive cyber disaster management framework by Nataliia Neshenko, Elias Bou-Harb, Borko Furht, Milad Baghersad

“…Our study offers both practical and methodological contributions to the knowledge base for scholars seeking to leverage deep learning to design deep learning-based approaches needed to thwart increasingly sophisticated cyber incidents.…”
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Undergraduate dental students and dentists’ acceptability and knowledge about selective caries tissue removal by Luciana Lourenço Ribeiro Vitor, Eloá Cristina Passucci Ambrosio, Paula Karine Jorge, Natalino Lourenço Neto, Thiago Cruvinel, Maria Aparecida Andrade Moreira Machado, Thais Marchini Oliveira

“…Discussion: Studies with questionnaires can be useful tools to detect whether the students and dentists are following the most current evidences to treat deep carious lesions. Conclusion: The participants had certain level of knowledge on SCTR, but the technique acceptability lacked consensus. …”
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IRnet: Immunotherapy response prediction using pathway knowledge-informed graph neural network by Yuexu Jiang, Manish Sridhar Immadi, Duolin Wang, Shuai Zeng, Yen On Chan, Jing Zhou, Dong Xu, Trupti Joshi

“…Methods: The proposed deep-learning framework leverages graph neural network and biological pathway knowledge. …”
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A multiobjective continuation method to compute the regularization path of deep neural networks by Augustina Chidinma Amakor, Konstantin Sonntag, Sebastian Peitz

“…Sparsity is a highly desired feature in deep neural networks (DNNs) since it ensures numerical efficiency, improves the interpretability (due to the smaller number of relevant features), and robustness. …”
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Ethical considerations of deep brain stimulation for treatment refractory schizophrenia: surveying stakeholders by Judith M. Gault, Nicola Cascella, Nidal Moukaddam, Stephanie Lehto, Patrick Hosokawa, Paul S. Appelbaum, Akira Sawa, Jocelyn Lippman-Bell, William S. Anderson, Wayne Goodman, Sameer A. Sheth, Daniel Kramer, John A. Thompson, Elyn R. Saks, Rachel A. Davis

“…Considering advances in next-generation deep brain stimulation (DBS), initial success in treating a few cases of TR-SZ, and how challenging trial enrollment is, transparency and disseminating knowledge about DBS is important, as is input from involved groups. …”
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A multi-modal dental dataset for semi-supervised deep learning image segmentation by Yaqi Wang, Fan Ye, Yifei Chen, Chengkai Wang, Chengyu Wu, Feng Xu, Zhean Ma, Yi Liu, Yifan Zhang, Mingguo Cao, Xiaodiao Chen

“…Panoramic X-ray images (PXI) and Cone Beam Computed Tomography (CBCT) are key tools for dentists in diagnosing and treating dental conditions. Additionally, deep learning for tooth segmentation can focus on relevant treatment information and localize lesions. …”
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Understanding Indigenous knowledge of conservation and stewardship before implementing co-production with Western methodologies in resource management by Stafford Maracle, Jennifer Maracle, Stephen Lougheed

“…Researchers often tout the co-production of knowledge with Indigenous collaborators using frameworks like the Kaswentha (Two Row Wampum—Haudenosau­nee) and the Etuaptmumk (Two Eyed Seeing—Mi’kmaw) without first seek­ing to understand the foundations of Indigenous knowledge itself, and its deep roots in environmen­tal sustainability. …”
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Using Deep Learning algorithms to detect the success or failure of the Electroconvulsive Therapy (ECT) sessions by usef faghihi, Cyrus kalantarpour

“…However, there is no standard way to know how and with what intensity a healthcare professional needs to apply electroshock to treat patients with MDD. So far, to our knowledge, researchers have used multi-parametric magnetic resonance imaging (MRI) techniques combined with statistical methods and/or linear machine learning algorithms to predict patients’ responses to ECT. …”
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Structured hashing with deep learning for modality, organ, and disease content sensitive medical image retrieval by Asim Manna, Dipayan Dewan, Debdoot Sheet

“…Abstract Evidence-based medicine is the preferred procedure among clinicians for treating patients. Content-based medical image retrieval (CBMIR) is widely used to extract evidence from a large archive of medical images. …”
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