Latest news and scientific evidence
Read the latest news about us and our revolutionary GI Genius™, the intelligent endoscopy system.
Scroll below to find all the relevant scientific evidence.
Scientific evidence
REAL-Colon: A dataset for developing real-world AI applications in colonoscopy.
Biffi, C., Antonelli, G., Bernhofer, S., Hassan, C., Hirata, D., Iwatate, M., Maieron, A., Salvagnini, P., Cherubini, A., 2024.
The Efficacy of Real-Time Computer-Aided Detection of Colonic Neoplasia In Community Practice: A Pragmatic Randomized Controlled Trial.
Thiruvengadam, N.R., Solaimani, P., Shrestha, M., Buller, S., Carson, R., Reyes-Garcia, B., Gnass, R.D., Wang, B., Albasha, N., Leonor, P., Saumoy, M., Coimbra, R., Tabuenca, A., Srikureja, W., Serrao, S., 2024
A Computer-Aided Detection (CADe) System Significantly Improves Polyp Detection in Routine Practice.
Keswani, R.N., Thakkar, U., Sals, A., Pandolfino, J.E., 2023
A Review of the Technology, Training, and Assessment Methods for the First Real-Time AI-Enhanced Medical Device for Endoscopy. Bioengineering. 10(4) 404.
Cherubini A., Ngo Dinh, N. 2023
Effect of real-time computer-aided detection of colorectal adenoma in routine colonoscopy (COLO-GENIUS): a single-centre randomised controlled trial
Karsenti, D., Tharsis, G., Perrot, B., Cattan, P., Percie du Sert, A., Venezia, F., Zrihen, E., Gillet, A., Lab, J.P., Tordjman, G., Cavicchi, M. 2023
Role of Artificial Intelligence in Colonoscopy Detection of Advanced Neoplasias
Mangas-Sanjuan, C., de-Castro, L., Cubiella, J., Díez-Redondo, P., Suárez, A., Pellisé, M., Fernández, N., Zarraquiños, S., Núñez-Rodríguez, H., Álvarez-García, V., Ortiz, O., Sala-Miquel, N., Zapater, P., Jover, R.; CADILLAC study investigators*, 2023
Direct comparison of multiple computer-aided polyp detection systems
Troya, J., Sudarevic, B., Krenzer, A., Banck, M., Brand, M., Walter, B.M., Puppe, F., Zoller, W.G., Meining, A., Hann, A., 2023
Gorilla in the room: Even experts can miss polyps at colonoscopy and how AI helps complex visual perception tasks
Cherubini, A. and East, J.E. 2023
Cost-effectiveness of Artificial Intelligence-Aided Colonoscopy for Adenoma Detection in Colon Cancer Screening
Barkun, A.N., von Renteln, D., Sadri, H. 2023
Combination of mucosa-exposure device and computer-aided detection for Adenoma Detection during Colonoscopy: a randomized trial
Spadaccini, M., Hassan, C., Rondonotti, E., Antonelli, G., Andrisani, G., Lollo, G., Auriemma, F., Iacopini, F., Facciorusso, A., Maselli, R., Fugazza, A., Bergna, I.M.B., Cereatti, F., Mangiavillano, B., Radaelli, F., Di Matteo, F., Gross, S.A., Sharma, P., Mori, Y., Bretthauer, M., Rex, D.K., Repici, A. 2023
The brave new world of artificial intelligence: dawn of a new era
Di Napoli, G., Lee, L. S., 2023
Cost-utility analysis of real-time artificial intelligent-assisted colonoscopy in Italy
Hassan, C., Povero, M., Pradelli, L., Spadaccini, M., Repici, A., 2023
Knowledge, perceptions and behaviours of endoscopists towards the use of artificial intelligence-aided colonoscopy.
Tham, S., Koh, F.H., Teo, E.K., Lin, C.L., Foo, F.J., 2023
An Evaluation of Critical Factors for the Cost-Effectiveness of Real-Time Computer-Aided Detection: Sensitivity and Threshold Analyses Using a Microsimulation Model
Thiruvengadam, N.R., Cote, G., Gupta, S., Rodrigues, M., Schneider, Y., Arain, M.A., Solaimani, P., Serrao, S., Kochman, M.L., Saumoy, M., 2023
Impact of Artificial Intelligence on Miss Rate of Colorectal Neoplasia
Wallace, M.B., Sharma, P., Bhandari, P., East, J., Antonelli, G., Lorenzetti, R., Vieth, M., Speranza, I., Spadaccini, M., Desai, M., Lukens, F.J., Babameto, G., Batista, D., Singh, D., Palmer, W., Ramirez, F., Palmer, R., Lunsford, T., Ruff, K., Bird-Liebermann, E., Ciofoaia, V., Arndtz, S., Cangemi, D., Puddick, K., Derfus, G., Johal, A.S., Barawi, M., Longo, L., Moro, L., Repici, A., Hassan, C., 2022
A novel AI device for real-time optical characterization of colorectal polyps
Biffi, C., Salvagnini, P., Dinh, N.N., Hassan, C., Sharma, P., GI Genius CADx Study Group, Cherubini, A., 2022
Artificial Intelligence Allows Leaving-In-Situ Colorectal Polyps. Clin. Gastroenterol. Hepatol. Off. Clin. Pract. J. Am. Gastroenterol
Hassan, C., Balsamo, G., Lorenzetti, R., Zullo, A., Antonelli, G., 2022
Experimental evidence of effective human-AI collaboration in medical decision-making
Reverberi, C., Rigon, T., Solari, A., Hassan, C., Cherubini, P., GI Genius CADx Study Group, Cherubini, A., 2022
Strengths and Weaknesses of an Artificial Intelligence Polyp Detection Program as Assessed by a High-Detecting Endoscopist
Rex, D.K., Mori, Y., Sharma, P., Lahr, R.E., Vemulapalli, K.C., Hassan, C., 2022
Artificial intelligence and colonoscopy experience: lessons from two randomised trials
Repici, A., Spadaccini, M., Antonelli, G., Correale, L., Maselli, R., Galtieri, P.A., Pellegatta, G., Capogreco, A., Milluzzo, S.M., Lollo, G., Di Paolo, D., Badalamenti, M., Ferrara, E., Fugazza, A., Carrara, S., Anderloni, A., Rondonotti, E., Amato, A., De Gottardi, A., Spada, C., Radaelli, F., Savevski, V., Wallace, M.B., Sharma, P., Rösch, T., Hassan, C., 2022
Evaluation of a real-time computer-aided polyp detection system during screening colonoscopy: AI-DETECT study
Ahmad, A., Wilson, A., Haycock, A., Humphries, A., Monahan, K., Suzuki, N., Thomas-Gibson, S., Vance, M., Bassett, P., Thiruvilangam, K., Dhillon, A., Saunders, B.P., 2022
Artificial Intelligence-Aided Colonoscopy Does Not Increase Adenoma Detection Rate in Routine Clinical Practice
Levy, I., Bruckmayer, L., Klang, E., Ben-Horin, S., Kopylov, U., 2022
Computer-aided Detection of Polyps Does Not Improve Colonoscopist Performance in a Pragmatic Implementation Trial
Ladabaum, U., Shepard, J., Weng, Y., Desai, M., Singer, S.J., Mannalithara, A., 2022
Prospective study of computer-aided detection of colorectal adenomas in hospitalized patients
Engelke, C., Graf, M., Maass, C., Tews, H.C., Kraus, M., Ewers, T., Sayk, F., Solbach, P., Zimpel, C., Tharun, L., Marquardt, J.U., Kirstein, M.M., 2022
One-year review of real-time artificial intelligence (AI)-aided endoscopy performance
Chin, S.E., Wan, F.T., Ladlad, J., Chue, K.M., SKH, E.C., Teo, E.K., Lin, C.L., Foo, F.J., Koh, F.H., 2022
Real-time artificial intelligence (AI)-aided endoscopy improves adenoma detection rates even in experienced endoscopists: a cohort study in Singapore
Koh, F.H., Ladlad, J., SKH Endoscopy Centre, Foo, F.-J., Tan, W.J., Sivarajah, S.S., Ho, L.M.L., Ng, J.-L., Koh, F.H., Chong, C., Aw, D., Kam, J.-H., Tan, A.Y.H., Tan, C.-C., Yeung, B.P.M., Wong, W.-K., Toh, B.-C., Ladlad, J., Barco, J., Chue, K.-M., Leong, F., Kong, C., Lin, C.-L., Teo, E.-K., Ng, Y.-K., Tey, T.-T., De-Roza, M.A., Lum, J., Li, X., Li, J., Mohd-Nor, N.B., Ng, S.-P., Teo, E.-K., Lin, C.-L., Foo, F.-J., 2022
Discovering the first US FDA-approved computer-aided polyp detection system
Spadaccini, M., Marco, A.D., Franchellucci, G., Sharma, P., Hassan, C., Repici, A., 2022
Computer-aided detection-assisted colonoscopy: classification and relevance of false positives
Hassan, C., Badalamenti, M., Maselli, R., Correale, L., Iannone, A., Radaelli, F., Rondonotti, E., Ferrara, E., Spadaccini, M., Alkandari, A., Fugazza, A., Anderloni, A., Galtieri, P.A., Pellegatta, G., Carrara, S., Di Leo, M., Craviotto, V., Lamonaca, L., Lorenzetti, R., Andrealli, A., Antonelli, G., Wallace, M., Sharma, P., Rösch, T., Repici, A., 2020
New artificial intelligence system: first validation study versus experienced endoscopists for colorectal polyp detection
Hassan, C., Wallace, M.B., Sharma, P., Maselli, R., Craviotto, V., Spadaccini, M., Repici, A., 2020
Efficacy of Real-Time Computer-Aided Detection of Colorectal Neoplasia in a Randomized Trial
Repici, A., Badalamenti, M., Maselli, R., Correale, L., Radaelli, F., Rondonotti, E., Ferrara, E., Spadaccini, M., Alkandari, A., Fugazza, A., Anderloni, A., Galtieri, P.A., Pellegatta, G., Carrara, S., Di Leo, M., Craviotto, V., Lamonaca, L., Lorenzetti, R., Andrealli, A., Antonelli, G., Wallace, M., Sharma, P., Rosch, T., Hassan, C., 2020