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1. 2020 WSES guidelines for the detection and management of bile duct injury during cholecystectomy

Author

De'Angelis, N, Catena, F, Memeo, R, Coccolini, F, Martinez-Perez, A, Romeo, O, De Simone, B, Di Saverio, S, Brustia, R, Rhaiem, R, Piardi, T, Conticchio, M, Marchegiani, F, Beghdadi, N, Abu-Zidan, F, Alikhanov, R, Allard, M, Allievi, N, Amaddeo, G, Ansaloni, L, Andersson, R, Andolfi, E, Azfar, M, Bala, M, Benkabbou, A, Ben-Ishay, O, Bianchi, G, Biffl, W, Brunetti, F, Carra, M, Casanova, D, Celentano, V, Ceresoli, M, Chiara, O, Cimbanassi, S, Bini, R, Coimbra, R, Luigi de'Angelis, G, Decembrino, F, De Palma, A, de Reuver, P, Domingo, C, Cotsoglou, C, Ferrero, A, Fraga, G, Gaiani, F, Gheza, F, Gurrado, A, Harrison, E, Henriquez, A, Hofmeyr, S, Iadarola, R, Kashuk, J, Kianmanesh, R, Kirkpatrick, A, Kluger, Y, Landi, F, Langella, S, Lapointe, R, Le Roy, B, Luciani, A, Machado, F, Maggi, U, Maier, R, Mefire, A, Hiramatsu, K, Ordonez, C, Patrizi, F, Planells, M, Peitzman, A, Pekolj, J, Perdigao, F, Pereira, B, Pessaux, P, Pisano, M, Puyana, J, Rizoli, S, Portigliotti, L, Romito, R, Sakakushev, B, Sanei, B, Scatton, O, Serradilla-Martin, M, Schneck, A, Sissoko, M, Sobhani, I, ten Broek, R, Testini, M, Valinas, R, Veloudis, G, Vitali, G, Weber, D, Zorcolo, L, Giuliante, F, Gavriilidis, P, Fuks, D, Sommacale, D, de'Angelis N., Catena F., Memeo R., Coccolini F., Martinez-Perez A., Romeo O. M., De Simone B., Di Saverio S., Brustia R., Rhaiem R., Piardi T., Conticchio M., Marchegiani F., Beghdadi N., Abu-Zidan F. M., Alikhanov R., Allard M. -A., Allievi N., Amaddeo G., Ansaloni L., Andersson R., Andolfi E., Azfar M., Bala M., Benkabbou A., Ben-Ishay O., Bianchi G., Biffl W. L., Brunetti F., Carra M. C., Casanova D., Celentano V., Ceresoli M., Chiara O., Cimbanassi S., Bini R., Coimbra R., Luigi de'Angelis G., Decembrino F., De Palma A., de Reuver P. R., Domingo C., Cotsoglou C., Ferrero A., Fraga G. P., Gaiani F., Gheza F., Gurrado A., Harrison E., Henriquez A., Hofmeyr S., Iadarola R., Kashuk J. L., Kianmanesh R., Kirkpatrick A. W., Kluger Y., Landi F., Langella S., Lapointe R., Le Roy B., Luciani A., Machado F., Maggi U., Maier R. V., Mefire A. C., Hiramatsu K., Ordonez C., Patrizi F., Planells M., Peitzman A. B., Pekolj J., Perdigao F., Pereira B. M., Pessaux P., Pisano M., Puyana J. C., Rizoli S., Portigliotti L., Romito R., Sakakushev B., Sanei B., Scatton O., Serradilla-Martin M., Schneck A. -S., Sissoko M. L., Sobhani I., ten Broek R. P., Testini M., Valinas R., Veloudis G., Vitali G. C., Weber D., Zorcolo L., Giuliante F., Gavriilidis P., Fuks D., Sommacale D., De'Angelis, N, Catena, F, Memeo, R, Coccolini, F, Martinez-Perez, A, Romeo, O, De Simone, B, Di Saverio, S, Brustia, R, Rhaiem, R, Piardi, T, Conticchio, M, Marchegiani, F, Beghdadi, N, Abu-Zidan, F, Alikhanov, R, Allard, M, Allievi, N, Amaddeo, G, Ansaloni, L, Andersson, R, Andolfi, E, Azfar, M, Bala, M, Benkabbou, A, Ben-Ishay, O, Bianchi, G, Biffl, W, Brunetti, F, Carra, M, Casanova, D, Celentano, V, Ceresoli, M, Chiara, O, Cimbanassi, S, Bini, R, Coimbra, R, Luigi de'Angelis, G, Decembrino, F, De Palma, A, de Reuver, P, Domingo, C, Cotsoglou, C, Ferrero, A, Fraga, G, Gaiani, F, Gheza, F, Gurrado, A, Harrison, E, Henriquez, A, Hofmeyr, S, Iadarola, R, Kashuk, J, Kianmanesh, R, Kirkpatrick, A, Kluger, Y, Landi, F, Langella, S, Lapointe, R, Le Roy, B, Luciani, A, Machado, F, Maggi, U, Maier, R, Mefire, A, Hiramatsu, K, Ordonez, C, Patrizi, F, Planells, M, Peitzman, A, Pekolj, J, Perdigao, F, Pereira, B, Pessaux, P, Pisano, M, Puyana, J, Rizoli, S, Portigliotti, L, Romito, R, Sakakushev, B, Sanei, B, Scatton, O, Serradilla-Martin, M, Schneck, A, Sissoko, M, Sobhani, I, ten Broek, R, Testini, M, Valinas, R, Veloudis, G, Vitali, G, Weber, D, Zorcolo, L, Giuliante, F, Gavriilidis, P, Fuks, D, Sommacale, D, de'Angelis N., Catena F., Memeo R., Coccolini F., Martinez-Perez A., Romeo O. M., De Simone B., Di Saverio S., Brustia R., Rhaiem R., Piardi T., Conticchio M., Marchegiani F., Beghdadi N., Abu-Zidan F. M., Alikhanov R., Allard M. -A., Allievi N., Amaddeo G., Ansaloni L., Andersson R., Andolfi E., Azfar M., Bala M., Benkabbou A., Ben-Ishay O., Bianchi G., Biffl W. L., Brunetti F., Carra M. C., Casanova D., Celentano V., Ceresoli M., Chiara O., Cimbanassi S., Bini R., Coimbra R., Luigi de'Angelis G., Decembrino F., De Palma A., de Reuver P. R., Domingo C., Cotsoglou C., Ferrero A., Fraga G. P., Gaiani F., Gheza F., Gurrado A., Harrison E., Henriquez A., Hofmeyr S., Iadarola R., Kashuk J. L., Kianmanesh R., Kirkpatrick A. W., Kluger Y., Landi F., Langella S., Lapointe R., Le Roy B., Luciani A., Machado F., Maggi U., Maier R. V., Mefire A. C., Hiramatsu K., Ordonez C., Patrizi F., Planells M., Peitzman A. B., Pekolj J., Perdigao F., Pereira B. M., Pessaux P., Pisano M., Puyana J. C., Rizoli S., Portigliotti L., Romito R., Sakakushev B., Sanei B., Scatton O., Serradilla-Martin M., Schneck A. -S., Sissoko M. L., Sobhani I., ten Broek R. P., Testini M., Valinas R., Veloudis G., Vitali G. C., Weber D., Zorcolo L., Giuliante F., Gavriilidis P., Fuks D., and Sommacale D.

Abstract

Bile duct injury (BDI) is a dangerous complication of cholecystectomy, with significant postoperative sequelae for the patient in terms of morbidity, mortality, and long-term quality of life. BDIs have an estimated incidence of 0.4–1.5%, but considering the number of cholecystectomies performed worldwide, mostly by laparoscopy, surgeons must be prepared to manage this surgical challenge. Most BDIs are recognized either during the procedure or in the immediate postoperative period. However, some BDIs may be discovered later during the postoperative period, and this may translate to delayed or inappropriate treatments. Providing a specific diagnosis and a precise description of the BDI will expedite the decision-making process and increase the chance of treatment success. Subsequently, the choice and timing of the appropriate reconstructive strategy have a critical role in long-term prognosis. Currently, a wide spectrum of multidisciplinary interventions with different degrees of invasiveness is indicated for BDI management. These World Society of Emergency Surgery (WSES) guidelines have been produced following an exhaustive review of the current literature and an international expert panel discussion with the aim of providing evidence-based recommendations to facilitate and standardize the detection and management of BDIs during cholecystectomy. In particular, the 2020 WSES guidelines cover the following key aspects: (1) strategies to minimize the risk of BDI during cholecystectomy; (2) BDI rates in general surgery units and review of surgical practice; (3) how to classify, stage, and report BDI once detected; (4) how to manage an intraoperatively detected BDI; (5) indications for antibiotic treatment; (6) indications for clinical, biochemical, and imaging investigations for suspected BDI; and (7) how to manage a postoperatively detected BDI.

Published
2021

3. 2020 WSES guidelines for the detection and management of bile duct injury during cholecystectomy

Author

De'Angelis, N., Catena, F., Memeo, R., Coccolini, F., Martínez-Pérez, A., Romeo, O.M., Simone, B. De, Saverio, S. Di, Brustia, R., Rhaiem, R., Piardi, T., Conticchio, M., Marchegiani, F., Beghdadi, N., Abu-Zidan, F.M., Alikhanov, R., Allard, M.A., Allievi, N., Amaddeo, G., Ansaloni, L., Andersson, R., Andolfi, E., Azfar, M., Bala, M., Benkabbou, A., Ben-Ishay, O., Bianchi, G., Biffl, W.L., Brunetti, F., Carra, M.C., Casanova, D., Celentano, V., Ceresoli, M., Chiara, O., Cimbanassi, S., Bini, R., Coimbra, R., de'Angelis, G. Luigi, Decembrino, F., Palma, A., Reuver, P.R. de, Domingo, C., Cotsoglou, C., Ferrero, A., Fraga, G.P., Gaiani, F., Gheza, F., Gurrado, A., Harrison, E., Henriquez, A., Hofmeyr, S., Iadarola, R., Kashuk, J.L., Kianmanesh, R., Kirkpatrick, A.W., Kluger, Y., Landi, F., Langella, S., Lapointe, R., Roy, B., Luciani, A., Machado, F., Maggi, U., Maier, R.V., Mefire, A.C., Hiramatsu, K., Ordoñez, C., Patrizi, F., Planells, M., Peitzman, A.B., Pekolj, J., Perdigao, F., Pereira, B.M., Pessaux, P., Pisano, M., Puyana, J.C., Rizoli, S., Portigliotti, L., Romito, R., Sakakushev, B., Sanei, B., Scatton, O., Serradilla-Martin, M., Schneck, A.S., Sissoko, M.L., Sobhani, I., Broek, R.P. Ten, Testini, M., Valinas, R., Veloudis, G., Vitali, G.C., Weber, D., Zorcolo, L., Giuliante, F., Gavriilidis, P., Fuks, D., Sommacale, D., De'Angelis, N., Catena, F., Memeo, R., Coccolini, F., Martínez-Pérez, A., Romeo, O.M., Simone, B. De, Saverio, S. Di, Brustia, R., Rhaiem, R., Piardi, T., Conticchio, M., Marchegiani, F., Beghdadi, N., Abu-Zidan, F.M., Alikhanov, R., Allard, M.A., Allievi, N., Amaddeo, G., Ansaloni, L., Andersson, R., Andolfi, E., Azfar, M., Bala, M., Benkabbou, A., Ben-Ishay, O., Bianchi, G., Biffl, W.L., Brunetti, F., Carra, M.C., Casanova, D., Celentano, V., Ceresoli, M., Chiara, O., Cimbanassi, S., Bini, R., Coimbra, R., de'Angelis, G. Luigi, Decembrino, F., Palma, A., Reuver, P.R. de, Domingo, C., Cotsoglou, C., Ferrero, A., Fraga, G.P., Gaiani, F., Gheza, F., Gurrado, A., Harrison, E., Henriquez, A., Hofmeyr, S., Iadarola, R., Kashuk, J.L., Kianmanesh, R., Kirkpatrick, A.W., Kluger, Y., Landi, F., Langella, S., Lapointe, R., Roy, B., Luciani, A., Machado, F., Maggi, U., Maier, R.V., Mefire, A.C., Hiramatsu, K., Ordoñez, C., Patrizi, F., Planells, M., Peitzman, A.B., Pekolj, J., Perdigao, F., Pereira, B.M., Pessaux, P., Pisano, M., Puyana, J.C., Rizoli, S., Portigliotti, L., Romito, R., Sakakushev, B., Sanei, B., Scatton, O., Serradilla-Martin, M., Schneck, A.S., Sissoko, M.L., Sobhani, I., Broek, R.P. Ten, Testini, M., Valinas, R., Veloudis, G., Vitali, G.C., Weber, D., Zorcolo, L., Giuliante, F., Gavriilidis, P., Fuks, D., and Sommacale, D.

Abstract

Contains fulltext : 238974.pdf (Publisher’s version ) (Open Access), Bile duct injury (BDI) is a dangerous complication of cholecystectomy, with significant postoperative sequelae for the patient in terms of morbidity, mortality, and long-term quality of life. BDIs have an estimated incidence of 0.4-1.5%, but considering the number of cholecystectomies performed worldwide, mostly by laparoscopy, surgeons must be prepared to manage this surgical challenge. Most BDIs are recognized either during the procedure or in the immediate postoperative period. However, some BDIs may be discovered later during the postoperative period, and this may translate to delayed or inappropriate treatments. Providing a specific diagnosis and a precise description of the BDI will expedite the decision-making process and increase the chance of treatment success. Subsequently, the choice and timing of the appropriate reconstructive strategy have a critical role in long-term prognosis. Currently, a wide spectrum of multidisciplinary interventions with different degrees of invasiveness is indicated for BDI management. These World Society of Emergency Surgery (WSES) guidelines have been produced following an exhaustive review of the current literature and an international expert panel discussion with the aim of providing evidence-based recommendations to facilitate and standardize the detection and management of BDIs during cholecystectomy. In particular, the 2020 WSES guidelines cover the following key aspects: (1) strategies to minimize the risk of BDI during cholecystectomy; (2) BDI rates in general surgery units and review of surgical practice; (3) how to classify, stage, and report BDI once detected; (4) how to manage an intraoperatively detected BDI; (5) indications for antibiotic treatment; (6) indications for clinical, biochemical, and imaging investigations for suspected BDI; and (7) how to manage a postoperatively detected BDI.

Published
2021

4. Imitation Learning over Heterogeneous Agents with Restraining Bolts

Author

Giacomo, G., Marco Favorito, Iocchi, L., and Patrizi, F.

Subjects
Restraining Bolts, Imitation Learning, Non-markovian Rewards
Abstract

A common problem in Reinforcement Learning (RL) is that the reward function is hard to express. This can be overcome by resorting to Inverse Reinforcement Learning (IRL), which consists in first obtaining a reward function from a set of execution traces generated by an expert agent, and then making the learning agent learn the expert's behavior –this is known as Imitation Learning (IL). Typical IRL solutions rely on a numerical representation of the reward function, which raises problems related to the adopted optimization procedures. We describe an IL method where the execution traces generated by the expert agent, possibly via planning, are used to produce a logical (as opposed to numerical) specification of the reward function, to be incorporated into a device known as Restraining Bolt (RB). The RB can be attached to the learning agent to drive the learning process and ultimately make it imitate the expert. We show that IL can be applied to heterogeneous agents, with the expert, the learner and the RB using different representations of the environment's actions and states, without specifying mappings among their representations., Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS), 2020

Published
2020
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5. Foundations for Restraining Bolts: Reinforcement Learning with LTLf/LDLf Restraining Specifications

Author

Giacomo, G., Iocchi, L., Marco Favorito, and Patrizi, F.

Subjects
FOS: Computer and information sciences, Probabilistic planning, MDPs and POMDPs, Reasoning about action and change, Temporal planning, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Statistics - Machine Learning, Machine Learning (stat.ML), Machine Learning (cs.LG)
Abstract

In this work we investigate on the concept of “restraining bolt”, envisioned in Science Fiction. Specifically we introduce a novel problem in AI. We have two distinct sets of features extracted from the world, one by the agent and one by the authority imposing restraining specifications (the “restraining bolt”). The two sets are apparently unrelated since of interest to independent parties, however they both account for (aspects of) the same world. We consider the case in which the agent is a reinforcement learning agent on the first set of features, while the restraining bolt is specified logically using linear time logic on finite traces LTLf/LDLf over the second set of features. We show formally, and illustrate with examples, that, under general circumstances, the agent can learn while shaping its goals to suitably conform (as much as possible) to the restraining bolt specifications., In Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS) 2019

Published
2019

7. Verifying congolog programs on bounded situation calculus theories

Author

Giacomo, G., Lesṕerance, Y., Patrizi, F., and Sebastian Sardina

Subjects
Artificial intelligence, Temporal logic, General Medicine, Formal logic, Semantics
Abstract

We address verification of high-level programs over situation calculus action theories that have an infinite object domain, but bounded fluent extensions in each situation. We show that verification of mu-calculus temporal properties against ConGolog programs over such bounded theories is decidable in general. To do this, we reformulate the transition semantics of ConGolog to keep the bindings of “pick variables” into a separate variable environment whose size is naturally bounded by the number of variables. We also show that for situation-determined ConGolog programs, we can compile away the program into the action theory itself without loss of generality. This can also be done for arbitrary programs, but only to check certain properties, such as if a situation is the result of a program execution, not for mu-calculus verification.

Published
2016

14. Discovering pattern-based mediator services from communication logs

Author

Gierds, C., Fahland, D., Lomuscio, A.R., Nepal, S., Patrizi, F., Benatallah, B., Brandic, I., and Process Science

Subjects
Business process discovery, Data flow diagram, Documentation, Database, Computer science, business.industry, Adapter (computing), Process mining, Petri net, computer.software_genre, Software engineering, business, computer
Abstract

Process discovery is a technique for deriving a conceptual high-level process model from the execution logs of a running implementation. The technique is particularly useful when no high-level model is available or in case of significant gaps between process documentation and implementation. The discovered model makes the implementation accessible to various kinds of analysis for functional and non-functional properties. In this paper we extend process discovery to mediator services (or adapters) which adapt the messaging protocols of 2 or more otherwise incompatible services. We propose a technique that takes as input logs of communication behaviors—one log for each service connected to the adapter—and a library of high-level data transformation rules relevant for the domain of the adapter, and then returns an operational adapter model describing the control-flow and the data flow of the adapter in terms of Coloured Petri Nets – if such model exists. We discuss benefits and limitations of this idea and evaluate it with a prototype implementation on industrial size models. Keywords: Process Mining; Service Mining; Pattern Based Design; Coloured Petri nets; synthesis

Published
2014

24. Cause di iperamilasemia asintomatica

Author

Patrizi, F., Frulloni, Luca, Bovo, Paolo, Katsotourchi, A., Ferri, B., Bernardoni, Laura, Coato, E., Faitini, K., Bonzanini, O., and Cavallini, Giorgio

Published
2004

26. An embedded middleware platform for pervasive and immersive environments for-all

Author

Baldoni, R., Di Ciccio, C., Mecella, M., Patrizi, F., Querzoni, L., Santucci, G., Dustdar, S., Li, F., Truong, H. -L, Albornos, L., Milagro, F., Rafael, P. A., Ayani, Rassul, Rasch, Katharina, Lozano, M. G., Aiello, M., Lazovik, A., Denaro, A., Lasala, G., Pucci, P., Holzner, C., Cincotti, F., Aloise, F., Baldoni, R., Di Ciccio, C., Mecella, M., Patrizi, F., Querzoni, L., Santucci, G., Dustdar, S., Li, F., Truong, H. -L, Albornos, L., Milagro, F., Rafael, P. A., Ayani, Rassul, Rasch, Katharina, Lozano, M. G., Aiello, M., Lazovik, A., Denaro, A., Lasala, G., Pucci, P., Holzner, C., Cincotti, F., and Aloise, F.

Abstract

Embedded systems are specialized computers used in larger systems or machines to control equipments such as automobiles, home appliances, communication, control and office machines. Such pervasivity is particularly evident in immersive realities, i.e., scenarios in which invisible embedded systems need to continuously interact with human users, in order to provide continuous sensed information and to react to service requests from the users themselves. The SM4All project investigates an innovative middleware platform for inter-working of smart embedded services in immersive and person-centric environments, through the use of composability and semantic techniques for dynamic service reconfiguration. This is applied to the challenging scenario of private houses and home-care assistance in presence of users with different abilities and needs (e.g., young, able-bodied, aged and disabled). This paper presentes a brief overview of the SM4All system architecture., QC 20141009

Published
2009
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27. P.230 COLONOSCOPIC SURVEILLANCE IN INDIVIDUALS WITH INCREASED RISK FOR FAMILIARITY OF COLORECTAL CANCER

Author

Bencivenni, S., primary, Benazzato, L., additional, De Pretis, G., additional, Inturri, P., additional, Fantini, A., additional, Ntakirutinama, E., additional, Patrizi, F., additional, Tomba, F., additional, Nicolis, A., additional, Rodella, L., additional, El Kheir, W., additional, Lombardo, F., additional, Catalano, F., additional, Gabbrielli, A., additional, Adamo, S., additional, Azzurro, M., additional, Di Piramo, D., additional, Martello, G., additional, Armelao, F., additional, Orlandi, P., additional, Cazzola, L., additional, Vettorazzi, M., additional, and Ederle, A., additional

Published
2010
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29. P.243 HYDROTHERAPY COMPARED WITH PEG-ES LAVAGE AS BOWEL PREPARATION FOR ELECTIVE COLONOSCOPY: DEFINITIVE RESULTS OF A PROSPECTIVE RANDOMIZED SINGLE BLINDED TRIAL

Author

Ntakirutinama, E., primary, Mastromauro, M., additional, Fantin, A., additional, Inturri, P., additional, Benazzato, L., additional, Patrizi, F., additional, Tomba, F., additional, Bencivenni, S., additional, Soardo, D., additional, Giacometti, O., additional, and Ederle, A., additional

Published
2010
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31. P.120 OFFERING PEOPLE A CHOICE FOR COLORECTAL CANCER SCREENING. ATTENDANCE AND DETECTION RATE IN TORINO AND VERONA

Author

Benazzato, L., primary, Ederle, A., additional, Segnan, N., additional, Senore, C., additional, Fantin, A., additional, Tomba, F., additional, Inturri, P., additional, Ntakirutinama, E., additional, Patrizi, F., additional, Bencivenni, S., additional, Chioffi, C., additional, Valsecchi, M., additional, and Caselin, C., additional

Published
2010
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33. An Embedded Middleware Platform for Pervasive and Immersive Environments for-All

Author

Baldoni, R., primary, Di Ciccio, C., additional, Mecella, M., additional, Patrizi, F., additional, Querzoni, L., additional, Santucci, G., additional, Dustdar, S., additional, Li, F., additional, Truong, H.-L., additional, Albornos, L., additional, Milagro, F., additional, Antolin Rafael, P., additional, Ayani, R., additional, Rasch, K., additional, Garcia Lozano, M., additional, Aiello, M., additional, Lazovik, A., additional, Denaro, A., additional, Lasala, G., additional, Pucci, P., additional, Holzner, C., additional, Cincotti, F., additional, and Aloise, F., additional

Published
2009
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44. What Kind of Hepatitis?

Author

Santolamazza, M, primary, Marinelli, RMA, additional, Bacosi, M, additional, D'Innocenzo, S, additional, Miglioresi, L, additional, Patrizi, F, additional, Monache, M Delle, additional, and Ricci, GL, additional

Published
2001
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