Consensus for Operating Room Multimodal Data Management: Identifying Research Priorities for Data-Driven Surgery by Alain Garcia Vazquez, MD, Juan Verde, MD, Ariosto Hernandez Lara, MD, Didier Mutter, MD, Lee Swanstrom, MD, 5G-OR Research Committee, 5G-OR Consensus Panel, Ariosto Hernandez Lara, Barbara Seeliger, Daniel Hashimoto, Deepak Alapatt, Joel Lavanchy, Juan Verde, Lise Lecointre, Pietro Mascagni, Pr.Danail Stoyanov, Didier Mutter, MD, Dirk Willhelm, MD, Pr.Gerald Fried, MD, Gretchen Jackson, MD, PhD, Jean-Paul Mazellier, PhD, Lee Swanstrom, MD, Pr.Lena Maier-Hein, Pr.Nicolas Padoy, PhD, Pr.Sascha Treskatsch, MD, Pr.Silvana Perretta, MD, PhD, Pr.Stefanie Speidel, Pr.Teodor Grantcharov, Annika Mareike Engel, BSc, MEng, Axel Boese, DrIng, Carla M. Pugh, MD, PhD, Cesare Hassan, Fabian Dietrich, PhD, Felix Nickel, MD, MME, Franziska Jurosch, MSc, Guido Beldi, MD, Henriette Hegermann, Dr, Johannes Horsch, Dipl-Ing, Julian Rosenkranz, Ing, MSc, Keno Sponheuer, DrMed, Luca Milone, MD, PhD, FACS, Nariaki Okamoto, MD, PhD, Patrick Seeling, PhD, Pedro Filipe Pereira Gouveia, MD, PhD, Roland Croner, Prof.Dr, Sandra Keller, PhD, Sharona B Ross, Taiga Wakabayashi, MD, Ph.D, Takeaki Ishizawa, MD, PhD, Takeshi Urade, MD, PhD, Thomas Schnelldorfer, MD, PhD, Thorge Lackner, MSc, and MEng

“…This work is an international expert consensus regarding the current issues and key research targets in the promising field of data-driven surgery, highlighting the research needs of many operating room stakeholders with the aim of facilitating the implementation of novel patient care strategies in minimally invasive surgery.…”
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A data-driven approach for predicting remaining intra-surgical time and enhancing operating room efficiency by Saleem Ramadan, Mohammad Abu-Shams, Sameer Al-Dahidi, Ibrahim Odeh, Najat Almasarwah

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Optimizing operating room efficiency in robotic‐assisted total knee arthroplasty through manufacturing efficiency principles by Akito Hiraoka, Bart Swinnen, Aline Vandeputte, Willem Franssen, Geert Leirs

Subjects: “…data‐driven technology…”
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Data-Driven Approach for Passenger Mobility Pattern Recognition Using Spatiotemporal Embedding by Chao Yu, Haiying Li, Xinyue Xu, Jun Liu, Jianrui Miao, Yitang Wang, Qi Sun

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Data-driven modelling of a commercial cold storage system using subspace system identification by Adesola Temitope Bankole, Muhammed Bashir Mu’azu, Habeeb Bello-Salau, Zaharuddeen Haruna

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Towards Autonomous Operation of UAVs Using Data-Driven Target Tracking and Dynamic, Distributed Path Planning Methods by Jae-Young Choi, Rachit Prasad, Seongim Choi

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Data-Driven Prediction System of Dynamic People-Flow in Large Urban Network Using Cellular Probe Data by Xiaoxuan Chen, Xia Wan, Fan Ding, Qing Li, Charlie McCarthy, Yang Cheng, Bin Ran

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Evaluation of Clinical Benefits of IoT Device Solutions in Operating Rooms by Jing ZHANG, Yang LIU, Qiangtian CHEN, Jidong ZHANG

“…ConclusionThe use of the IoT plan in the operating room can improve operational efficiency, reduce documentation time, and enhance the work efficiency of anesthesiologists and circulating nurses through real-time data-driven decision-making.…”
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Lightning-induced vulnerability assessment in Bangladesh using machine learning and GIS-based approach by Tanmoy Mazumder, Md. Mustafa Saroar

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Efficient room-level heat load prediction in buildings using spatiotemporal distribution characteristics by Xin Tan, Kaixuan Xu, Yahui Wang, Qihui Yu, Yongheng Yu, Guoxin Sun

“…This study proposes a prediction method integrating spatiotemporal distribution features within a “global prediction + feature decomposition” framework to overcome traditional data-driven limitations. A spatial allocation matrix, based on building thermodynamics, quantifies heat load allocation across floors and orientations, while a temporal allocation matrix, derived from intermittent heating experiments, captures inter-room heat transfer effects. …”
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Estimating petrophysical properties using Geostatistical inversion and data-driven extreme gradient boosting: A case study of late Eocene McKee formation, Taranaki Basin, New Zeala... by John Oluwadamilola Olutoki, Mohamed Elsaadany, Numair Ahmed Siddiqui, AKM Eahsanul Haque, Syed Haroon Ali, Alidu Rashid, Oluwaseun Daniel Akinyemi

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Room-temperature FeSi2-doped Cu2Se thermoelectric films with enhanced figure of merit by Masahiro Goto, Michiko Sasaki, Taku Moronaga, Toru Hara, Yibin Xu

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Machine Learning Unveils the Impacts of Key Elements and Their Interaction on the Ambient-Temperature Tensile Properties of Cast Titanium Aluminides Employing SHAP Analysis by Shiqiu Liu, Li Liang

“…This study facilitates the data-driven design of novel cast TiAl alloys by systematically investigating the critical elements and their interactions affecting room-temperature (RT) tensile properties by the machine learning method based on SHAP analysis. …”
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Nonlinear Identification of the Suction Manifold of a Supermarket Refrigeration System Using Wavelet Networks by Adesola Temitope Bankole, Habeeb Bello-Salau, Zaharuddeen Haruna

“…The original model consists of a cold storage room, three open display cases, the suction manifold, and the compressor rack. …”
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Multi-Domain Environmental Quality of Indoor Mixed-Use Open Spaces and Insights into Healthy Living—A Quarantine Hotel Case Study by Han Wang, Wenjian Pan

“…In the post-pandemic context, data-driven design interventions that can endow architectural spaces with mixed-use and open characteristics that are adaptable and environmentally resilient are increasingly important. …”
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Solar Heat Gain Simulations for Energy-Efficient Guest Allocation in a Large Hotel Tower in Madrid by Iker Landa del Barrio, Markel Flores Iglesias, Juan Odriozola González, Víctor Fabregat, Jan L. Bruse

“…The simulation results revealed large room-by-room differences in thermal energy demand. …”
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Exploring the active chemical compounds and pharmacological effects of Artemisia Argyi leaves through commonality, authenticity and aging by Boyu Chen, Jiaxin Liu, Xu Dai, Lufan Xu, Wenying Cui, Rouan Chen, Tian Lan, Yiider Tseng

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Generation of Structural Components for Indoor Spaces from Point Clouds by Junhyuk Lee, Yutaka Ohtake, Takashi Nakano, Daisuke Sato

“…Currently, particularly in data-driven modeling methods, data preprocessing for dividing structural components and nonstructural components is required before modeling. …”
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Models, systems, networks in economics, engineering, nature and society by M.I. Krevskiy, A.S. Bozhday

“…Process Мining is a young, dynamically developing field of data science. This data-driven approach to process analytics has already proven its effectiveness and is increasingly gaining popularity in large companies. …”

Toward Smart SCADA Systems in the Hydropower Plants through Integrating Data Mining-Based Knowledge Discovery Modules by Gheorghe Grigoras, Răzvan Gârbea, Bogdan-Constantin Neagu

“…The framework can offer the operators from the control room comparative information for a time horizon longer than one year. …”
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