Article
Computer Science, Cybernetics
Ruchika Jain, Naval Garg, Shikha N. Khera
Summary: This study explores the level of comfort humans express with different models of human-AI collaboration and emphasizes the importance of work design in this process. The study finds that certain configurations can increase trust and role clarity with AI as a colleague. Organizations need to carefully consider the impact of design on building trust and gaining acceptance with technology.
Article
Psychology, Multidisciplinary
Tessa Haesevoets, David De Cremer, Kim Dierckx, Alain Van Hiel
Summary: The study shows that human managers prefer a partnership with machines in managerial decisions rather than excluding machines entirely, with humans having a majority vote. Different classes of managers react differently to different levels of human versus machine involvement, with some preferring machines to have the upper hand, some preferring an equal partnership, some preferring humans to have the upper hand, and some preferring humans to have complete control in managerial decisions.
COMPUTERS IN HUMAN BEHAVIOR
(2021)
Article
Multidisciplinary Sciences
Damon Centola, Joshua Becker, Jingwen Zhang, Jaya Aysola, Douglas Guilbeault, Elaine Khoong
Summary: Errors in clinical decision-making are common, with 10 to 15% of decisions being inaccurate. Experimental research shows that structured information-sharing networks among clinicians can significantly improve diagnostic accuracy and treatment decisions, reducing errors.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2023)
Article
Computer Science, Cybernetics
Baocheng Geng, Xiancheng Cheng, Swastik Brahma, David Kellen, Pramod K. Varshney
Summary: This research explores the improvement of collaborative human decision-making by promoting heterogeneity, using signal detection theory and portfolio theory to show that enhancing heterogeneity can result in better detection performance at the fusion center.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2022)
Article
Oncology
Yuko Kawasaki, Kei Hirai, Manabu Nii, Yoshiyuki Kizawa, Atsuko Uchinuno
Summary: This study investigated factors related to decision-making support provided by healthcare professionals in cancer care. The results showed that a majority of patients made a treatment decision within one week, but a significant number of patients faced difficulties in decision-making. To improve the quality of decision-making support, interprofessional work should be promoted and screening tools to identify those who need support should be established.
Article
Biodiversity Conservation
Shauna L. Mahajan, Lydia Tanner, Gabby Ahmadia, Hannah Becker, Nicole DeMello, Robert Fidler, Alastair R. Harborne, Arundhati Jagadish, Morena Mills, Paul Cairney, Samantha Cheng, Brandie Fariss, Yuta J. Masuda, Mine Pabari, Maria Tengo, Carina Wyborn, Louise Glew
Summary: Evidence-informed decision-making is crucial for effective conservation actions, but it still faces challenges within conservation implementing agencies. Factors at different temporal and spatial scales shape conservation decisions, and diverse cultures and value systems within agencies affect the use of evidence. To realize evidence-informed conservation, a better understanding of decision-making processes and contexts, alignment of institutional systems, and changes towards learning organizations are needed.
BIOLOGICAL CONSERVATION
(2023)
Article
Psychology, Experimental
Agustin Perez Santangelo, Casimir J. H. Ludwig, Joaquin Navajas, Mariano Sigman, Maria Juliana Leone
Summary: Background music affects the speed and accuracy of decision-making by making us less cautious.
JOURNAL OF EXPERIMENTAL PSYCHOLOGY-GENERAL
(2022)
Article
Computer Science, Artificial Intelligence
Manish Aggarwal
Summary: New entropy functions based on an agent's perceived uncertainty are formulated in this paper, highlighting the role of the decision-maker's attitude. The study introduces new attitude-based variants of probabilistic entropies and extends existing fuzzy entropies to consider the agent's specific attitude. The proposed entropy functions are shown to have wide applicability in multi criteria decision making.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Business, Finance
Kremena Bachmann, Andre Lot, Xiaogeng Xu, Thorsten Hens
Summary: We modified the design of four experimental studies on retirement decision-making and replicated the studies using a larger online sample. Most of the original studies' main effects were replicated. Specifically, we confirmed that consumption decisions are less efficient when subjects need to borrow from the future compared to saving from the present. Choosing to retire later when receiving retirement benefits as a lump sum instead of annuities was also confirmed. Additionally, we found that savings are higher when incentivized with matching contributions rather than tax rebates. However, our replication study revealed that subjects only made partial adjustments to spending paths when faced with varying survival risks and reduced ambiguity. We also discussed future research agendas and practical issues related to subject recruitment, attrition, and task redesign.
JOURNAL OF BANKING & FINANCE
(2023)
Article
Health Care Sciences & Services
Ellen M. Driever, Anne M. Stiggelbout, Paul L. P. Brand
Summary: The level of patient involvement in medical specialist consultations is influenced by the type of decision being made and the duration of the consultation. Patients are most involved in treatment decisions and least involved in other types of decisions. It is recommended that physicians assist patients in participating in different types of decisions and allow sufficient time for shared decision-making.
JOURNAL OF GENERAL INTERNAL MEDICINE
(2022)
Article
Neurosciences
Vasiliki Liakoni, Marco P. Lehmann, Alireza Modirshanechi, Johanni Brea, Antoine Lutti, Wulfram Gerstner, Kerstin Preuschoff
Summary: Humans have a remarkable capability of learning how to reach a reward over long series of actions, potentially guided by multiple parallel learning modules. This study introduces a complex decision-making task and tests various learning algorithms to identify model-free and surprise-based learning signals in the brain.
Article
Public, Environmental & Occupational Health
Jan Borysowski, Hans-Joerg Ehni, Andrzej Gorski
Summary: This study analyzed guidance about medical decision making contained in ethics codes, finding that most national codes mention informed decision making while fewer mention shared decision making. It is suggested that updates to the codes could promote adequate standards of medical decision making.
PATIENT EDUCATION AND COUNSELING
(2021)
Article
Computer Science, Artificial Intelligence
Longlong He, Wei Guo, Pingyu Jiang
Summary: This paper presents a novel triple deep workflow model for P-DSPS to address production decision support problems, featuring retrieval of alternative solutions from domain knowledge-driven solution flow and evaluation of expert knowledge collaboration based on task event-driven control flow strategy and operation logic.
ADVANCED ENGINEERING INFORMATICS
(2021)
Article
Automation & Control Systems
Longsheng Jiang, Yue Wang
Summary: A computational model is proposed to enable robots to make decisions under risk in a human-like way, incorporating psychological effects such as regret theory. The model is further quantified, trained with individual preference data, and shown to have high prediction accuracy compared to human decision-making.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2022)
Article
Rheumatology
Lily Watson, Conor Coyle, Caroline Whately-Smith, Melanie Brooke, Uta Kiltz, Ennio Lubrano, Ruben Queiro, David Trigos, Jan Brandt-Juergens, Ernest Choy, Salvatore D'Angelo, Andrea Delle Sedie, Emmanuelle Dernis, Sandrine Guis, Philip Helliwell, Pauline Ho, Axel Hueber, Beatriz Joven, Michaela Koehm, Carlos Montilla, Jon Packham, Jose Antonio Pinto Tasende, Felipe Julio Ramirez Garcia, Adeline Ruyssen-Witrand, Rossana Scrivo, Sarah Twigg, Martin Soubrier, Theo Wirth, Laure Gossec, Laura Coates
Summary: This study analyzed the prescribing practices and extent of shared decision-making (SDM) in Psoriatic arthritis (PsA) across Europe. The results showed higher disease activity and treatment escalation rates in the UK, and effective implementation of SDM in face-to-face PsA consultations. Moreover, treatment escalation was only observed in patients with mild disease activity and higher perceived collaboration.
Article
Gastroenterology & Hepatology
Raquel Ortigao, Brigitte Pereira, Rui Silva, Pedro Pimentel-Nunes, Pedro Bastos, Joaquim Abreu de Sousa, Filomena Faria, Mario Dinis-Ribeiro, Diogo Libanio
Summary: This study identified older age and nodal disease as independent risk factors for anastomotic leakage after esophagectomy. Given the high mortality rates and in-hospital mortality rates in patients with EAL, endoscopic therapy may be an effective treatment approach.
GE PORTUGUESE JOURNAL OF GASTROENTEROLOGY
(2023)
Editorial Material
Gastroenterology & Hepatology
Claudia Martins Marques Pinto, Marta Rodriguez, Madalena Souto Moura, Mariana Afonso, Pedro Bastos, Mario Dinis Ribeiro
GE PORTUGUESE JOURNAL OF GASTROENTEROLOGY
(2023)
Article
Gastroenterology & Hepatology
Emanuele Rondonotti, Cesare Hassan, Giacomo Tamanini, Giulio Antonelli, Gianluca Andrisani, Giovanni Leonetti, Silvia Paggi, Arnaldo Amato, Giulia Scardino, Dhanai Di Paolo, Giovanna Mandelli, Nicoletta Lenoci, Natalia Terreni, Alida Andrealli, Roberta Maselli, Marco Spadaccini, Piera Alessia Galtieri, Loredana Correale, Alessandro Repici, Francesco Maria Di Matteo, Luciana Ambrosiani, Emanuela Filippi, Prateek Sharma, Franco Radaelli
Summary: The present study demonstrates that real-time artificial intelligence (AI)-assisted optical diagnosis is accurate and useful for the diagnosis of diminutive rectosigmoid polyps (DRSPs), especially for nonexperts.
Article
Gastroenterology & Hepatology
Pedro Pimentel-Nunes, Raquel Ortigao, Luis Pedro Afonso, Rui Pedro Bastos, Diogo Libanio, Mario Dinis-Ribeiro
Summary: This study analyzed the short and long-term outcomes after endoscopic resection (ER) of gastric, duodenum, and rectal gastrointestinal neuroendocrine tumors (GI-NETs). The results showed that ER is a safe and highly effective treatment, especially for tumors smaller than 12 mm. Endoscopic mucosal resection with a cap (EMRc) was associated with a higher complication rate and should be avoided. Standard EMR (sEMR) was a simple and safe technique that is the best therapeutic option for most luminal GI-NETs.
GE PORTUGUESE JOURNAL OF GASTROENTEROLOGY
(2023)
Article
Gastroenterology & Hepatology
Miriam Manosa, Agnes Fernandez-Clotet, Pilar Nos, Maria Dolores Martin-Arranz, Noemi Mancenido, Ana Carbajo, Esther Hinojosa, Alejandro Hernandez-Camba, Roser Munoz-Perez, Maia Bosca-Watts, Marta Calvo, Monica Sierra-Ausin, Eugenia Sanchez-Rodriguez, Manuel Barreiro-de Acosta, Alejandro Nunez-Alonso, Yamile Zabana, Lucia Marquez, Javier P. Gisbert, Jordi Guardiola, Empar Sainz, Pedro Delgado-Guillena, David Busquets, Manuel van Domselaar, Eva Girona, Rufo Lorentea, Diego Casas-Deza, Jose M. Huguet, Sergio Maestro, M. Jose Cabello, Jesus Castro, Marisa Iborra, Fiorella Canete, Margalida Calafat, Eugeni Domenech
Summary: This study found that ustekinumab and vedolizumab are effective in preventing postoperative recurrence in high-risk Crohn's disease patients. However, further controlled trials comparing these drugs with conventional therapies are needed.
DIGESTIVE AND LIVER DISEASE
(2023)
Review
Gastroenterology & Hepatology
Edoardo Vespa, Gaia Pellegatta, Viveksandeep T. Chandrasekar, Marco Spadaccini, Harsh Patel, Roberta Maselli, Piera A. Galtieri, Elisa Carlani, Prateek Sharma, Cesare Hassan, Alessandro Repici
Summary: Long-term clinical efficacy of POEM persisted in 87% of patients with achalasia. Post-POEM symptomatic reflux remained stable over time. The risk for Barrett's esophagus and peptic strictures appeared minimal.
Article
Gastroenterology & Hepatology
Laurent Peyrin-Biroulet, Jean-Francois Rahier, Julien Kirchgesner, Vered Abitbol, Sebastian Shaji, Alessandro Armuzzi, Konstantinos Karmiris, Javier P. Gisbert, Peter Bossuyt, Ulf Helwig, Johan Burisch, Henit Yanai, Glen A. Doherty, Fernando Magro, Tamas Molnar, Mark Lowenberg, Jonas Halfvarson, Edyta Zagorowicz, Helene Rousseau, Cedric Baumann, Filip Baert, Laurent Beaugerie
Summary: The I-CARE study aims to evaluate the benefit-risk ratio of current therapies in IBD patients. It collected data from 10,206 patients and observed the treatment risks of anti-tumor necrosis factor and other biologic therapies, particularly the risks of cancer/lymphoma and serious infections. The results showed that different treatment regimens had varying effects on patients, and further research is needed to assess specific risks.
CLINICAL GASTROENTEROLOGY AND HEPATOLOGY
(2023)
Article
Gastroenterology & Hepatology
Yuichi Mori, Pu Wang, Magnus Loberg, Masashi Misawa, Alessandro Repici, Marco Spadaccini, Loredana Correale, Giulio Antonelli, Honggang Yu, Dexin Gong, Misaki Ishiyama, Shin-ei Kudo, Shunsuke Kamba, Kazuki Sumiyama, Yutaka Saito, Haruo Nishino, Peixi Liu, Jeremy R. Glissen Brown, Nabil M. Mansour, Seth A. Gross, Mette Kalager, Michael Bretthauer, Douglas K. Rex, Prateek Sharma, Tyler M. Berzin, Cesare Hassan
Summary: The use of AI during colonoscopy increases the proportion of patients needing intensive surveillance by approximately 35% in the United States and 20% in Europe. This contributes to improved cancer prevention but adds significant patient burden and healthcare costs.
CLINICAL GASTROENTEROLOGY AND HEPATOLOGY
(2023)
Editorial Material
Gastroenterology & Hepatology
Andrea Cherubini, James E. East
DIGESTIVE AND LIVER DISEASE
(2023)
Article
Gastroenterology & Hepatology
Manuel Barreiro-de Acosta, Agnes Fernandez-Clotet, Francisco Mesonero, Francisco Javier Garcia-Alonso, Maria Jose Casanova, Margarita Fernandez-de la Varga, Fiorella Canete, Luisa de Castro, Ana Gutierrez, Beatriz Sicilia, Victoria Cano, Olga Merino, Ruth de Francisco, Irene Gonzalez-Partida, Gerard Suris, Leyanira Torrealba, Rocio Ferreiro-Iglesias, Beatriz Castro, Lucia Marquez, Ana Sobrino, Ainara Elorza, Xavier Calvet, Pilar Varela, Raquel Vicente, Luis Bujanda, Laura Lario, Noemi Mancenido, Mariana F. Garcia-Sepulcre, Eva Iglesias, Cristina Rodriguez, Marta Piqueras, Juan Angel Ferrer Rosique, Alfredo J. Lucendo, Olga Benitez, Melody Garcia, David Olivares, Carlos Gonzalez-Munoza, Beatriz Lopez-Cauce, Victor Jair Morales Alvarado, Katerina Spicakova, Alicia Brotons, Fernando Bermejo, Pedro Almela, Nahia Ispizua, Pau Gilabert, Carlos Tardillo, Fernando Munoz, Pablo Navarro, Rosa Eva Madrigal Dominguez, Pau Sendra, Esther Hinojosa, Empar Sainz, Maria Dolores Martin-Arranz, Daniel Carpio, Elena Ricart, Berta Caballol, Laura Nunez, Jesus Barrio, Javier P. Gisbert, Marisa Iborra, Margalida Calafat, Vicent Hernandez, Roser Munoz Perez, Jose Luis Cabriada, Eugeni Domenech, Iago Rodriguez-Lago
Summary: This study evaluated the effectiveness of biologic agents in Crohn's disease complicated with internal fistulizing disease. It found that biologic therapy is beneficial for approximately three-quarters of patients, achieving a fistula closure rate of 24%, but around one-third of patients still require surgery. Patient- and lesion-related factors can identify patients who will obtain more benefit from these drugs.
AMERICAN JOURNAL OF GASTROENTEROLOGY
(2023)
Article
Operations Research & Management Science
Tommaso Rigon
Summary: This paper introduces a novel enriched Dirichlet mixture model for clustering functional data, incorporating functional constraints and bounding the model complexity. The prior process is characterized through a urn scheme, enhancing the interpretability of clustering. Variational Bayes approximation is employed for tractable posterior inference, overcoming computational bottlenecks.
APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY
(2023)
Article
Biology
Tommaso Rigon, Amy H. Herring, David B. Dunson
Summary: In this article, a generalized Bayes framework is proposed to bridge loss-based clustering methods and model-based clustering methods. The proposed method allows for quantification of uncertainty in clustering and provides a way to characterize uncertainty in clustering using Gibbs posteriors. Efficient deterministic algorithms and sampling algorithms are developed based on Bregman divergence and pairwise similarities. Furthermore, existing clustering algorithms can be interpreted as generalized Bayes estimators in this framework, allowing for uncertainty quantification.
Article
Biochemistry & Molecular Biology
Laia Bonjoch, Yasmin Soares de Lima, Marcos Diaz-Gay, Isabella Dotti, Jenifer Munoz, Leticia Moreira, Sabela Carballal, Teresa Ocana, Miriam Cuatrecasas, Oswaldo Ortiz, Antoni Castells, Maria Pellise, Francesc Balaguer, Azucena Salas, Ludmil B. B. Alexandrov, Sergi Castellvi-Bel
Summary: Serrated polyposis syndrome (SPS) is a common polyposis syndrome that increases the risk of colorectal cancer (CRC). A germline frameshift variant in the POLD1 gene was identified in an SPS patient with CRC. The variant also appeared in three other SPS-affected family members. Organoid models were generated to study the variant's impact, but no significant differences were observed compared to the control group. Further research is needed to understand the functional consequences of POLD1 alterations. This study provides the first organoid model for germline POLD1 variants, establishing a foundation for studying SPS, CRC, and other malignancies.
FRONTIERS IN MOLECULAR BIOSCIENCES
(2023)
Review
Gastroenterology & Hepatology
Marisa Linhares, Claudia Marques Pinto, Diogo Libanio, Manuel R. Teixeira, Mario Dinis-Ribeiro, Catarina Brandao
Summary: Gastric adenocarcinoma is a common and deadly cancer worldwide. Screening the general population is recommended in eastern countries, but may not be cost-effective in low to intermediate-risk countries. Therefore, it is important to identify high-risk populations for adequate screening and surveillance. This review summarizes the data required to identify individuals at risk and highlights the importance of hereditary syndromes and screening protocols.
GE PORTUGUESE JOURNAL OF GASTROENTEROLOGY
(2023)
Article
Gastroenterology & Hepatology
Paraskevas Gkolfakis, Christina Kapizioni, Georgios Tziatzios, Antonio Facciorusso, Leonardo Frazzoni, Konstantinos Thomopoulos, Spyros Potamianos, Dimitrios Christodoulou, Vasilios Papadopoulos, Lorenzo Fuccio, Cesare Hassan, Konstantinos Triantafyllou
Summary: This study evaluated the comparative efficacy of predictive scores in predicting inadequate bowel cleansing among hospitalized patients undergoing colonoscopy. The results showed that Model B outperformed its comparators in predicting inadequate bowel preparation, particularly in mobilized inpatients.
ANNALS OF GASTROENTEROLOGY
(2023)
