Investigation of the Role of Machine Learning and Deep Learning in Improving Clinical Decision Making for Musculoskeletal Rehabilitation by Madhu Yadav, Pushpendra Kumar Verma, Sumaiya Ansari

“…In this investigation, we explore the various applications of machine learning and deep learning in musculoskeletal rehabilitation, including image analysis, predictive modelling, and decision support systems. We also examine the challenges and limitations associated with implementing these techniques in clinical practice and the ethical considerations surrounding their use. …”
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Intricacies of human–AI interaction in dynamic decision-making for precision oncology by Dipesh Niraula, Kyle C. Cuneo, Ivo D. Dinov, Brian D. Gonzalez, Jamalina B. Jamaluddin, Jionghua Judy Jin, Yi Luo, Martha M. Matuszak, Randall K. Ten Haken, Alex K. Bryant, Thomas J. Dilling, Michael P. Dykstra, Jessica M. Frakes, Casey L. Liveringhouse, Sean R. Miller, Matthew N. Mills, Russell F. Palm, Samuel N. Regan, Anupam Rishi, Javier F. Torres-Roca, Hsiang-Hsuan Michael Yu, Issam El Naqa

“…Abstract AI decision support systems can assist clinicians in planning adaptive treatment strategies that can dynamically react to individuals’ cancer progression for effective personalized care. …”
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Specifics of business processes of petrochemical enterprises in the context of digitalization of the economy by E. A. Dolonina, M. V. Shinkevich

“…In the direction of improving business processes, there is a need for wider use of decision support systems based on artificial intelligence and expert systems. …”
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Accounting Information and Financial Decision Making in Organizations in Kabale District. by Taritureka, Nobert

“…The study examined the role of accounting information in financial decision-making within organizations in Kabale District, guided by three objectives: to assess the impact of transaction processing systems on organizational decision-making, to evaluate the influence of decision support systems on decision-making, and to explore the relationship between information systems and decision-making in these organizations. …”
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The present and future of digital health, digital medicine, and digital therapeutics for allergic diseases by He Zhang, Yang Cao, Haibo Jiang, Qilin Zhou, Qintai Yang, Lei Cheng

“…It highlights key advancements, including telehealth, mobile health (mHealth), artificial intelligence, clinical decision support systems (CDSS), and digital biomarkers, with a focus on their relevance to allergic disease management. …”
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Issues and Limitations on the Road to Fair and Inclusive AI Solutions for Biomedical Challenges by Oliver Faust, Massimo Salvi, Prabal Datta Barua, Subrata Chakraborty, Filippo Molinari, U. Rajendra Acharya

“…These comprehensive recommendations aim to minimize both bias and noise, thereby improving the performance of future medical decision support systems.…”
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The integration of AI in nursing: addressing current applications, challenges, and future directions by Qiuying Wei, Songcheng Pan, Songcheng Pan, Xiaoyu Liu, Mei Hong, Chunying Nong, Weiqi Zhang

“…A comprehensive analysis of recent studies highlights the use of AI in clinical decision support systems, patient monitoring, and nursing education. …”
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The evolving landscape: Role of artificial intelligence in cancer detection by Praveen Kumar, Sakshi V. Izankar, Induni N. Weerarathna, David Raymond, Prateek Verma

“…Additionally, the discussion encompassed clinical decision support systems, explaining their utility in aiding healthcare professionals with evidence-based insights for more informed decision-making in cancer detection and management. …”
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Prediction of late-onset depression in the elderly Korean population using machine learning algorithms by Jong Wan Park, Chang Woo Ko, Diane Youngmi Lee, Jae Chul Kim

“…These programs could be further developed into self-checking online tools, expected to serve as decision support systems for primary medical care and health screening services.…”
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Prompt injection attacks on vision language models in oncology by Jan Clusmann, Dyke Ferber, Isabella C. Wiest, Carolin V. Schneider, Titus J. Brinker, Sebastian Foersch, Daniel Truhn, Jakob Nikolas Kather

“…Abstract Vision-language artificial intelligence models (VLMs) possess medical knowledge and can be employed in healthcare in numerous ways, including as image interpreters, virtual scribes, and general decision support systems. However, here, we demonstrate that current VLMs applied to medical tasks exhibit a fundamental security flaw: they can be compromised by prompt injection attacks. …”
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APPROXIMATELY SINGULAR WAVELET by V. M. Romanchak

“…The universal algorithm of approximation makes it possible to apply it to approximate one-dimensional and multidimensional functions, in decision support systems, in the processing of stochastic information, pattern recognition, and solution of boundary-value problems.The introduction explain the idea of the method of singular wavelets – to combine the theory of wavelets with the Nadaraya-Watson kernel regression estimator. …”
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Control of Discrete Event Systems by Means of Discrete Optimization and Disjunctive Colored PNs: Application to Manufacturing Facilities by Juan-Ignacio Latorre-Biel, Emilio Jiménez-Macías, Mercedes Pérez de la Parte, Julio Blanco-Fernández, Eduardo Martínez-Cámara

“…Artificial intelligence methodologies, as the core of discrete control and decision support systems, have been extensively applied in the industrial production sector. …”
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Trust information network in social Internet of things using trust-aware recommender systems by Juyeon Son, Wonyoung Choi, Sang-Min Choi

“…We assume that decision support systems based on social Internet of things could leverage research from recommender systems to achieve more stable performance. …”
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Human-AI collaboration is not very collaborative yet: a taxonomy of interaction patterns in AI-assisted decision making from a systematic review by Catalina Gomez, Sue Min Cho, Shichang Ke, Chien-Ming Huang, Mathias Unberath

“…Leveraging Artificial Intelligence (AI) in decision support systems has disproportionately focused on technological advancements, often overlooking the alignment between algorithmic outputs and human expectations. …”
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Evaluating environmental flows for the targeted fish habitats in selected rivers by Md Abu Sayed, Aysha Akter

“…Thus, this study contributed to determining the EF of these rivers for Hilsha and Carp habitats, and this supports the Decision Support Systems (DSS).…”
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Trusting AI: does uncertainty visualization affect decision-making? by Jonatan Reyes, Anil Ufuk Batmaz, Marta Kersten-Oertel

“…The findings also have important implications for the design of human-AI decision-support systems, offering insights into how uncertainty can be visualized to enhance decision-making and user confidence.…”
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The role of artificial intelligence and machine learning in predicting and combating antimicrobial resistance by Hazrat Bilal, Muhammad Nadeem Khan, Sabir Khan, Muhammad Shafiq, Wenjie Fang, Rahat Ullah Khan, Mujeeb Ur Rahman, Xiaohui Li, Qiao-Li Lv, Bin Xu

“…In addition, AI-based clinical decision support systems in real-time guide healthcare professionals to improve prescribing of antibiotics. …”
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Hemoglobin Variant (Hemoglobin Aalborg) Mimicking Interstitial Pulmonary Disease by Vasiliki Panou, Peter-Diedrich Mathias Jensen, Jan Freddy Pedersen, Lars Pilegaard Thomsen, Ulla Møller Weinreich

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Terminally ill head and neck cancer patients and AI: Opportunities and prospects by Gargi S. Sarode, Sachin C. Sarode

“…These include pain management and symptom control through predictive modeling, psychosocial support via AI-powered chatbots, treatment decision support by synthesizing patient data, automated radiation planning, end-of-life planning with AI-driven decision support systems, facilitating family communication through structured guidance and emotional support, and legacy building using AI-enabled digital platforms for preserving personal narratives. …”
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Key Intelligent Pesticide Prescription Spraying Technologies for the Control of Pests, Diseases, and Weeds: A Review by Kaiqiang Ye, Gang Hu, Zijie Tong, Youlin Xu, Jiaqiang Zheng

“…In addition, this study discusses the future development prospectives of IPPS technologies, including multifunctional target information acquisition systems, decision-support systems based on generative AI, and the development of precision intelligent sprayers. …”
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