Emerging trends in robotic breast surgery in the era of artificial intelligence

Tingting Li , Chen Li

Plastic and Aesthetic Research ›› 2025, Vol. 12 ›› Issue (1) : 5

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Plastic and Aesthetic Research ›› 2025, Vol. 12 ›› Issue (1) :5 DOI: 10.20517/2347-9264.2024.143
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Emerging trends in robotic breast surgery in the era of artificial intelligence

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Abstract

The advent of artificial intelligence (AI) heralds a new era in the field of robotic surgery. This article discusses recent trends in the integration of AI technology with robotic surgical procedures, highlighting the latest advancements in robotic breast surgery. The application of AI in robotic surgery ranges from preoperative planning to intraoperative assistance. Machine learning algorithms are now utilized to analyze medical imaging data, enabling surgeons to devise detailed surgical plans tailored to the unique characteristics of each patient’s tumor. This approach leads to more precise tumor excision and better preservation of healthy tissue. Robotic systems equipped with advanced visualization and sensor technologies can provide real-time feedback during surgery and training. Additionally, AI algorithms can predict the occurrence of postoperative complications, allowing for early intervention. With the ongoing development of AI and robotic technologies, significant progress has been made in robotic automation. The future of robotic breast surgery holds the promise of even greater accuracy, and the quality of life for breast cancer patients may be significantly improved.

Keywords

Artificial intelligence / robotic breast surgery / convolutional neural network / automation / deep learning

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Tingting Li, Chen Li. Emerging trends in robotic breast surgery in the era of artificial intelligence. Plastic and Aesthetic Research, 2025, 12(1): 5 DOI:10.20517/2347-9264.2024.143

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References

[1]

Bishop SN.Minimally invasive robotic breast reconstruction surgery.Gland Surg2021;10:469-78 PMCID:PMC7882313

[2]

Zhang S,Liang F,Lv Q.Endoscopic-assisted nipple-sparing mastectomy with direct-to-implant subpectoral breast reconstruction in the management of breast cancer.Plast Reconstr Surg Glob Open2021;9:e3978 PMCID:PMC8663902

[3]

Leff DR,Yongue G,Yang GZ.Endoscopic breast surgery: where are we now and what might the future hold for video-assisted breast surgery?.Breast Cancer Res Treat2011;125:607-25

[4]

Pavone M,Campolo F.Robotic assisted versus laparoscopic surgery for deep endometriosis: a meta-analysis of current evidence.J Robot Surg2024;18:212 PMCID:PMC11098866

[5]

Chen K,Zhang J.Efficacy of Da Vinci robot-assisted lymph node surgery than conventional axillary lymph node dissection in breast cancer - a comparative study.Int J Med Robot2021;17:e2307

[6]

Nessa A,Fuller M,Kastora SL.Postoperative complications and surgical outcomes of robotic versus conventional nipple-sparing mastectomy in breast cancer: meta-analysis.Br J Surg2024;111:znad336 PMCID:PMC10769157

[7]

Bashir M.Artificial intelligence in aortic surgery: the rise of the machine.Semin Thorac Cardiovasc Surg2019;31:635-7

[8]

Raghupathi W.Big data analytics in healthcare: promise and potential.Health Inf Sci Syst2014;2:3 PMCID:PMC4341817

[9]

Zarkowsky DS.Artificial intelligence's role in vascular surgery decision-making.Semin Vasc Surg2021;34:260-7

[10]

Eadie LH,Davidson BR.Telemedicine in surgery.Br J Surg2003;90:647-58

[11]

Loftus TJ,Filiberto AC.Artificial intelligence and surgical decision-making.JAMA Surg2020;155:148-58 PMCID:PMC7286802

[12]

Satava RM.Surgical robotics: the early chronicles: a personal historical perspective.Surg Laparosc Endosc Percutan Tech2002;12:6-16

[13]

Morrell ALG,Morrell AG.The history of robotic surgery and its evolution: when illusion becomes reality.Rev Col Bras Cir2021;48:e20202798 PMCID:PMC10683436

[14]

Ghezzi T, Campos Corleta O. 30 years of robotic surgery.World J Surg2016;40:2550-7

[15]

Ranev D.History of computer-assisted surgery.Surg Clin North Am2020;100:209-18

[16]

van Mulken TJM,Schols RM.Preclinical experience using a new robotic system created for microsurgery.Plast Reconstr Surg2018;142:1367-76

[17]

Guerrini GP,Magistri P.Robotic versus laparoscopic gastrectomy for gastric cancer: the largest meta-analysis.Int J Surg2020;82:210-28

[18]

Guo Z,Song Z.Single-incision robotic assisted surgery: a nonrandomized cohort pilot study on a novel surgical platform in colorectal surgery.Int J Surg2023;109:3417-29 PMCID:PMC10651263

[19]

Schmelzle M,Ortiz Galindo SA.Robotic vs. laparoscopic liver surgery: a single-center analysis of 600 consecutive patients in 6 years.Surg Endosc2022;36:5854-62 PMCID:PMC9283354

[20]

Kalata S,Norton EC,Sheetz KH.Comparative safety of robotic-assisted vs laparoscopic cholecystectomy.JAMA Surg2023;158:1303-10 PMCID:PMC10512167

[21]

Catto JWF, Khetrapal P, Ricciardi F, et al; iROC Study Team. Effect of robot-assisted radical cystectomy with intracorporeal urinary diversion vs open radical cystectomy on 90-day morbidity and mortality among patients with bladder cancer: a randomized clinical trial. JAMA. 2022;327:2092-103. PMCID:PMC9109000

[22]

Minamimura K,Kaneya Y.Current status of robotic hepatobiliary and pancreatic surgery.J Nippon Med Sch2024;91:10-9

[23]

Alkatout I,Peters G.Expanding robotic-assisted surgery in gynecology using the potential of an advanced robotic system.Medicina2023;60:53 PMCID:PMC10818539

[24]

Bae HL,Kim SJ.Surgical outcomes of robotic thyroidectomy for thyroid tumors over 4 cm via the bilateral axillo-breast approach.Sci Rep2024;14:11646 PMCID:PMC11109269

[25]

Toesca A,Galimberti V.Robotic nipple-sparing mastectomy and immediate breast reconstruction with implant: first report of surgical technique.Ann Surg2017;266:e28-30

[26]

Lindenblatt N,Wang A.Early experience using a new robotic microsurgical system for lymphatic surgery.Plast Reconstr Surg Glob Open2022;10:e4013 PMCID:PMC8747501

[27]

van Mulken TJM, Schols RM, Scharmga AMJ, et al; MicroSurgical Robot Research Group. First-in-human robotic supermicrosurgery using a dedicated microsurgical robot for treating breast cancer-related lymphedema: a randomized pilot trial. Nat Commun. 2020;11:757. PMCID:PMC7012819

[28]

Pandav K,Tomer N,Tewari AK.Leveraging 5G technology for robotic surgery and cancer care.Cancer Rep2022;5:e1595 PMCID:PMC9351674

[29]

O'Sullivan S,Holzinger A.Operational framework and training standard requirements for AI-empowered robotic surgery.Int J Med Robot2020;16:1-13

[30]

Medina-Franco H,Fix RJ.Factors associated with local recurrence after skin-sparing mastectomy and immediate breast reconstruction for invasive breast cancer.Ann Surg2002;235:814-9 PMCID:PMC1422510

[31]

Ueda S,Yano K.Cosmetic outcome and patient satisfaction after skin-sparing mastectomy for breast cancer with immediate reconstruction of the breast.Surgery2008;143:414-25

[32]

Yi M,Meric-Bernstam F.Local, regional, and systemic recurrence rates in patients undergoing skin-sparing mastectomy compared with conventional mastectomy.Cancer2011;117:916-24 PMCID:PMC4371507

[33]

Yamashita Y,Nagura N.Long-term oncologic safety of nipple-sparing mastectomy with immediate reconstruction.Clin Breast Cancer2021;21:352-9

[34]

Sacchini V,Barros AC.Nipple-sparing mastectomy for breast cancer and risk reduction: oncologic or technical problem?.J Am Coll Surg2006;203:704-14

[35]

Wagner JL,Hunt KK.Prospective evaluation of the nipple-areola complex sparing mastectomy for risk reduction and for early-stage breast cancer.Ann Surg Oncol2012;19:1137-44 PMCID:PMC3854933

[36]

Gerber B,Dieterich M,Reimer T.The oncological safety of skin sparing mastectomy with conservation of the nipple-areola complex and autologous reconstruction: an extended follow-up study.Ann Surg2009;249:461-8

[37]

Haslinger ML,Bartholomew AJ.Positive nipple margin after nipple-sparing mastectomy: an alternative and oncologically safe approach to preserving the nipple-areolar complex.Ann Surg Oncol2018;25:2303-7

[38]

Mesdag V,Tresch E.Nipple sparing mastectomy for breast cancer is associated with high patient satisfaction and safe oncological outcomes.J Gynecol Obstet Hum Reprod2017;46:637-42

[39]

Lai HW,Chen DR.Current trends in and indications for endoscopy-assisted breast surgery for breast cancer: results from a six-year study conducted by the taiwan endoscopic breast surgery cooperative group.PLoS One2016;11:e0150310 PMCID:PMC4780808

[40]

Toesca A,Manconi A.Robotic nipple-sparing mastectomy for the treatment of breast cancer: feasibility and safety study.Breast2017;31:51-6 PMCID:PMC5278881

[41]

Filipe MD,Postma EL.Robotic nipple-sparing mastectomy complication rate compared to traditional nipple-sparing mastectomy: a systematic review and meta-analysis.J Robot Surg2022;16:265-72 PMCID:PMC8960562

[42]

Lai HW,Mok CW.Robotic versus conventional nipple sparing mastectomy and immediate gel implant breast reconstruction in the management of breast cancer- a case control comparison study with analysis of clinical outcome, medical cost, and patient-reported cosmetic results.J Plast Reconstr Aesthet Surg2020;73:1514-25

[43]

Lai HW,Liu LC.Robotic versus conventional or endoscopic-assisted nipple-sparing mastectomy and immediate prosthesis breast reconstruction in the management of breast cancer: a prospectively designed multicenter trial comparing clinical outcomes, medical cost, and patient-reported outcomes (RCENSM-P).Ann Surg2024;279:138-46 PMCID:PMC10727200

[44]

Lai HW,Tai CM.Robotic- versus endoscopic-assisted nipple-sparing mastectomy with immediate prosthesis breast reconstruction in the management of breast cancer: a case-control comparison study with analysis of clinical outcomes, learning curve, patient-reported aesthetic results, and medical cost.Ann Surg Oncol2020;27:2255-68

[45]

Garden EB,Razdan S,Florman S.Robotic single-port donor nephrectomy with the da vinci sp® surgical system.JSLS2021;25:e2021.00062 PMCID:PMC8692076

[46]

Park HS,Lee H,Song SY.Development of robotic mastectomy using a single-port surgical robot system.J Breast Cancer2020;23:107-12 PMCID:PMC7043949

[47]

Go J,Park JM.Analysis of robot-assisted nipple-sparing mastectomy using the da Vinci SP system.J Surg Oncol2022;126:417-24

[48]

Farr DE,Tellez J.Safety and feasibility of single-port robotic-assisted nipple-sparing mastectomy.JAMA Surg2024;159:269-76 PMCID:PMC10794977

[49]

Bostwick J 3rd,Jurkiewicz MJ.Breast reconstruction after a radical mastectomy.Plast Reconstr Surg1978;61:682-93

[50]

Lin CH,Levin LS.Donor-site morbidity comparison between endoscopically assisted and traditional harvest of free latissimus dorsi muscle flap.Plast Reconstr Surg1999;104:1070-7

[51]

Miller MJ.Endoscopic technique for free flap harvesting.Clin Plast Surg1995;22:755-73

[52]

Pomel C,Lasser P.[Endoscopic harvesting of the latissimus dorsi flap in breast reconstructive surgery. Feasibility study and review of the literature].Ann Chir2002;127:337-42

[53]

Fine NA,Pribaz JJ.Early clinical experience in endoscopic-assisted muscle flap harvest.Ann Plast Surg1994;33:465-9

[54]

Selber JC,Holsinger CF.Robotic harvest of the latissimus dorsi muscle: laboratory and clinical experience.J Reconstr Microsurg2012;28:457-64

[55]

Selber JC,Holsinger FC.Robotic latissimus dorsi muscle harvest: a case series.Plast Reconstr Surg2012;129:1305-12

[56]

Winocour S,Chu CK,Clemens MW.Comparing outcomes of robotically assisted latissimus dorsi harvest to the traditional open approach in breast reconstruction.Plast Reconstr Surg2020;146:1221-5

[57]

Eo PS,Lee JS,Park HY.Robot-assisted latissimus dorsi flap harvest for partial breast reconstruction: comparison with endoscopic and conventional approaches.Aesthet Surg J2023;44:38-46

[58]

Chen K,Beeraka NM.Robotic nipple sparing mastectomy and immediate breast reconstruction: significant attempts with the latissimus dorsi muscle without island flap.Minerva Surg2024;79:411-8

[59]

Shuck J,Liu J,Selber JC.Prospective pilot study of robotic-assisted harvest of the latissimus dorsi muscle: a 510(k) approval study with U.S. Food and Drug Administration investigational device exemption.Plast Reconstr Surg2022;149:1287-95

[60]

von Glinski M,Kümmel S.The partner perspective on autologous and implant-based breast reconstruction.Aesthetic Plast Surg2023;47:1324-31 PMCID:PMC10390354

[61]

Scheflan M,Black PW.Breast reconstruction with a transverse abdominal island flap.Plast Reconstr Surg1982;69:908-9

[62]

Speck NE,Farhadi J.Trends and innovations in autologous breast reconstruction.Arch Plast Surg2023;50:240-7 PMCID:PMC10226796

[63]

Tønseth KA,Tindholdt TT,Stavem K.Quality of life, patient satisfaction and cosmetic outcome after breast reconstruction using DIEP flap or expandable breast implant.J Plast Reconstr Aesthet Surg2008;61:1188-94

[64]

Bruce JC,Van Spronsen NR,Bharadia D.Analysis of online materials regarding DIEP and TRAM flap autologous breast reconstruction.J Plast Reconstr Aesthet Surg2023;82:81-91

[65]

Khan MTA,Baumgardner K.Literature review: robotic-assisted harvest of deep inferior epigastric flap for breast reconstruction.Ann Plast Surg2022;89:703-8

[66]

Struk S,Leymarie N.Robotic-assisted DIEP flap harvest: a feasibility study on cadaveric model.J Plast Reconstr Aesthet Surg2018;71:259-61

[67]

Manrique OJ,Mohan AT.Robotic-assisted DIEP flap harvest for autologous breast reconstruction: a comparative feasibility study on a cadaveric model.J Reconstr Microsurg2020;36:362-8

[68]

Kurlander DE,Shuck JW,Selber JC.Robotic DIEP patient selection: analysis of CT angiography.Plast Reconstr Surg Glob Open2021;9:e3970 PMCID:PMC8769113

[69]

Lee MJ,Song SY.Clinical outcomes following robotic versus conventional DIEP flap in breast reconstruction: a retrospective matched study.Front Oncol2022;12:989231 PMCID:PMC9515388

[70]

Tsai CY,Kuo WL.Novel port placement in robot-assisted DIEP flap harvest improves visibility and bilateral DIEP access: early controlled cohort study.Plast Reconstr Surg2023;152:590e-5e

[71]

Moreira A,Chen B.A new era in perforator flap surgery for breast reconstruction: a comparative study of robotic versus standard harvest of bilateral deep inferior epigastric artery perforator flaps.J Reconstr Microsurg2024;Epub ahead of print:

[72]

Nelson W,Moreira AA.Indocyanine green-guided near-infrared fluorescence enhances vascular anatomy in robot-assisted DIEP flap harvest.Plast Reconstr Surg2024;153:796-8

[73]

Elameen AM.Surgical outcomes of robotic versus conventional autologous breast reconstruction: a systematic review and meta-analysis.J Robot Surg2024;18:189 PMCID:PMC11063005

[74]

Jung JH,Lee DW.Initial report of extraperitoneal pedicle dissection in deep inferior epigastric perforator flap breast reconstruction using the da Vinci SP.Arch Plast Surg2022;49:34-8 PMCID:PMC8795659

[75]

Selber JC.Transoral robotic reconstruction of oropharyngeal defects: a case series.Plast Reconstr Surg2010;126:1978-87

[76]

O’Brien BM,Threlfall GN.Microlymphaticovenous anastomoses for obstructive lymphedema.Plast Reconstr Surg1977;60:197-211

[77]

Koshima I,Urushibara K.Supermicrosurgical lymphaticovenular anastomosis for the treatment of lymphedema in the upper extremities.J Reconstr Microsurg2000;16:437-42

[78]

van Mulken TJM, Wolfs JAGN, Qiu SS, et al; MicroSurgical Robot Research Group. One-year outcomes of the first human trial on robot-assisted lymphaticovenous anastomosis for breast cancer-related lymphedema. Plast Reconstr Surg. 2022;149:151-61.

[79]

Teven CM,Hammond JB.Expanding the horizon: single-port robotic vascularized omentum lymphatic transplant.Plast Reconstr Surg Glob Open2021;9:e3414 PMCID:PMC7929574

[80]

Weinzierl A,Gousopoulos E.Benefits of robotic-assisted lymphatic microsurgery in deep anatomical planes.JPRAS Open2023;37:145-54 PMCID:PMC10403710

[81]

Frieberg H,Engström O,Nilsson A.Robot-assisted microsurgery-what does the learning curve look like?.JPRAS Open2024;42:33-41 PMCID:PMC11403640

[82]

Moglia A,Georgiou E,Cuschieri A.A systematic review on artificial intelligence in robot-assisted surgery.Int J Surg2021;95:106151

[83]

Sung JJY.Introduction to artificial intelligence in medicine.Singapore Med J2024;65:132 PMCID:PMC11060645

[84]

Topol EJ.High-performance medicine: the convergence of human and artificial intelligence.Nat Med2019;25:44-56

[85]

Maier-Hein L,Speidel S.Surgical data science for next-generation interventions.Nat Biomed Eng2017;1:691-6

[86]

Bajaj T.Artificial intelligence in acute kidney injury prediction.Adv Chronic Kidney Dis2022;29:450-60 PMCID:PMC10259199

[87]

Li S,Lander MM.Artificial intelligence and mechanical circulatory support.Heart Fail Clin2022;18:301-9

[88]

Zhou XY,Shen M.Application of artificial intelligence in surgery.Front Med2020;14:417-30

[89]

Ma R,Lee R,Hung AJ.Machine learning in the optimization of robotics in the operative field.Curr Opin Urol2020;30:808-16 PMCID:PMC7735438

[90]

Kassahun Y,Tibebu AT.Surgical robotics beyond enhanced dexterity instrumentation: a survey of machine learning techniques and their role in intelligent and autonomous surgical actions.Int J Comput Assist Radiol Surg2016;11:553-68

[91]

Moustris GP,Deliparaschos KM.Evolution of autonomous and semi-autonomous robotic surgical systems: a review of the literature.Int J Med Robot2011;7:375-92

[92]

Panesar S,Chander D,Fernandez-Miranda J.Artificial intelligence and the future of surgical robotics.Ann Surg2019;270:223-6

[93]

Knudsen JE,Ma R.Clinical applications of artificial intelligence in robotic surgery.J Robot Surg2024;18:102 PMCID:PMC10907451

[94]

Wang F,Li J.Surgical smoke removal via residual Swin transformer network.Int J Comput Assist Radiol Surg2023;18:1417-27

[95]

Eslamian S,Pandya AK.Development and evaluation of an autonomous camera control algorithm on the da Vinci surgical system.Int J Med Robot2020;16:e2036

[96]

Kumazu Y,Kitamura N.Automated segmentation by deep learning of loose connective tissue fibers to define safe dissection planes in robot-assisted gastrectomy.Sci Rep2021;11:21198 PMCID:PMC8551298

[97]

Marsden M,Bec J.Intraoperative margin assessment in oral and oropharyngeal cancer using label-free fluorescence lifetime imaging and machine learning.IEEE Trans Biomed Eng2021;68:857-68 PMCID:PMC8960054

[98]

Bianchi L,Angiolini A.The use of augmented reality to guide the intraoperative frozen section during robot-assisted radical prostatectomy.Eur Urol2021;80:480-8

[99]

Azadi S,Arnold A,Potts J.Robotic surgery: the impact of simulation and other innovative platforms on performance and training.J Minim Invasive Gynecol2021;28:490-5

[100]

Juarez-Villalobos L,Perez-Gonzalez J.Machine learning based classification of local robotic surgical skills in a training tasks set.Annu Int Conf IEEE Eng Med Biol Soc2021;2021:4596-9

[101]

Tran KA,Bradley A,Pearson JV.Deep learning in cancer diagnosis, prognosis and treatment selection.Genome Med2021;13:152 PMCID:PMC8477474

[102]

Liao J,Li Z.Artificial intelligence-assisted ultrasound image analysis to discriminate early breast cancer in Chinese population: a retrospective, multicentre, cohort study.EClinicalMedicine2023;60:102001 PMCID:PMC10220307

[103]

Yoon JH,Baltzer PAT.Standalone AI for breast cancer detection at screening digital mammography and digital breast tomosynthesis: a systematic review and meta-analysis.Radiology2023;307:e222639 PMCID:PMC10315526

[104]

Lambin P,Deist TM.Radiomics: the bridge between medical imaging and personalized medicine.Nat Rev Clin Oncol2017;14:749-62

[105]

Zhao J,Yu Y.Radiomic and clinical data integration using machine learning predict the efficacy of anti-PD-1 antibodies-based combinational treatment in advanced breast cancer: a multicentered study.J Immunother Cancer2023;11:e006514 PMCID:PMC10230987

[106]

van de Sande D,Bluemink H.Artificial intelligence based treatment planning of radiotherapy for locally advanced breast cancer.Phys Imaging Radiat Oncol2021;20:111-6 PMCID:PMC8645926

[107]

Yu Y,Ouyang J.Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: a machine learning, multicenter study.EBioMedicine2021;69:103460 PMCID:PMC8261009

[108]

Juwara L,Gornitsky M,Velly AM.Identifying predictive factors for neuropathic pain after breast cancer surgery using machine learning.Int J Med Inform2020;141:104170

[109]

Lötsch J,Dimova V.Machine-learned selection of psychological questionnaire items relevant to the development of persistent pain after breast cancer surgery.Br J Anaesth2018;121:1123-32

[110]

Lou SJ,Chang HT.Machine learning algorithms to predict recurrence within 10 years after breast cancer surgery: a prospective cohort study.Cancers2020;12:3817 PMCID:PMC7765963

[111]

Mavioso C,Oliveira HP.Automatic detection of perforators for microsurgical reconstruction.Breast2020;50:19-24 PMCID:PMC7375543

[112]

O'Neill AC,Roy M,Hofer SOP.Development and evaluation of a machine learning prediction model for flap failure in microvascular breast reconstruction.Ann Surg Oncol2020;27:3466-75

[113]

Soh CL,Arjomandi Rad A.Present and future of machine learning in breast surgery: systematic review.Br J Surg2022;109:1053-62 PMCID:PMC10364755

[114]

Cheng Z,Li J.Fibronectin-targeting and metalloproteinase-activatable smart imaging probe for fluorescence imaging and image-guided surgery of breast cancer.J Nanobiotechnology2023;21:112 PMCID:PMC10053476

[115]

Welleweerd MK,Groenhuis V,Stramigioli S.Design of an end-effector for robot-assisted ultrasound-guided breast biopsies.Int J Comput Assist Radiol Surg2020;15:681-90 PMCID:PMC7142059

[116]

Duarte B,Torres HR,Fonseca JC.Robust 3D breast reconstruction based on monocular images and artificial intelligence for robotic guided oncological interventions.Annu Int Conf IEEE Eng Med Biol Soc2023;2023:1-4

[117]

Peng C,Meng Y.LMA-Net: a lesion morphology aware network for medical image segmentation towards breast tumors.Comput Biol Med2022;147:105685

[118]

Alqaoud M,Feliberti E.nnUNet-based multi-modality breast mri segmentation and tissue-delineating phantom for robotic tumor surgery planning.Annu Int Conf IEEE Eng Med Biol Soc2022;2022:3495-501

[119]

Fiorini P,Liu Y.Concepts and trends n autonomy for robot-assisted surgery.Proc IEEE Inst Electr Electron Eng2022;110:993-1011 PMCID:PMC7613181

[120]

Kitaguchi D,Hasegawa H.Artificial intelligence-based computer vision in surgery: recent advances and future perspectives.Ann Gastroenterol Surg2022;6:29-36 PMCID:PMC8786689

[121]

Bao R,Zhao J,Li J.Integrated intelligent tactile system for a humanoid robot.Sci Bull2023;68:1027-37

[122]

Guo X,Jiang P,Lepora N.A lightweight and affordable wearable haptic controller for robot-assisted microsurgery.Sensors2024;24:2676 PMCID:PMC11085189

[123]

Orosco RK,Matsuzaki T.Compensatory motion scaling for time-delayed robotic surgery.Surg Endosc2021;35:2613-8

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