Evidence map›Paper›PMID 41160299›Full record

ReviewInternational journal of clinical oncology2025

Toward safe clinical deployment of remote robotic surgery in Japan: five-year validation of the hinotori™ system using 5G wireless communication.

Takuto Hara, Yoshifumi Morihiro, Yuki Horise, Shuhei Komatsu, Masanao Ohashi, Hiroaki Kitatsuji, Akihisa Yao, Yoshihiro Muragaki, Hideaki Miyake

Abstract readReview
In one paragraph

Review in International journal of clinical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Entry Point Localisation for Percutaneous Surgical Robots Based on Concentric Fiducial Patches and Robust Surface Fitting.The international journal of medical robotics + computer assisted surgery : MRCAS · 2026
    Article
  3. Article
  4. Effects of Modifying Hinotori Surgical Robot System on the Learning Curve of Robot-Assisted Radical Prostatectomy.International journal of urology : official journal of the Japanese Urological Association · 2026
    Article
  5. System-level evaluation of 5G standalone communication infrastructure for robotic telesurgery.International journal of computer assisted radiology and surgery · 2026
    Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Takuto HaraDepartment of Urology, Kobe University Graduate School of Medicine, 7-5-1, Kusunoki-cho, Kobe, 650-0017, Japan.ORCID http://orcid.org/0000-0003-4524-2815
Yoshifumi MorihiroSolution Technology Group, Mobile Innovation Tech Department, NTT DOCOMO, INC., Chiyoda-ku, Tokyo, Japan.
Yuki HoriseSolution Technology Group, Mobile Innovation Tech Department, NTT DOCOMO, INC., Chiyoda-ku, Tokyo, Japan.
Shuhei KomatsuSolution Technology Group, Mobile Innovation Tech Department, NTT DOCOMO, INC., Chiyoda-ku, Tokyo, Japan.
Masanao OhashiSystem Development Department, Medicaroid Corporation, Chuo-ku, Kobe, Japan.
Hiroaki KitatsujiMedicaroid Corporation, Chuo-ku, Kobe, Japan.
Akihisa YaoDepartment of Urology, Kobe University Graduate School of Medicine, 7-5-1, Kusunoki-cho, Kobe, 650-0017, Japan.
Yoshihiro MuragakiFaculty of Medical Device Engineering, Kobe University Graduate School of Medicine, Kobe, Japan.
Hideaki MiyakeDepartment of Urology, Kobe University Graduate School of Medicine, 7-5-1, Kusunoki-cho, Kobe, 650-0017, Japan. hmiyake@med.kobe-u.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Remote robotic-assisted surgery (RRAS), a form of telesurgery, offers a potential solution to Japan's surgeon shortage and regional disparities in care. Despite advances in robotic systems and modern communication technologies, including both 5G wireless and wired networks, clinical adoption remains limited due to regulatory, infrastructural, and institutional barriers. This review consolidates five years (2020-2025) of technical and operational validation of the hinotori™ Surgical Robot System-a domestically developed platform-in alignment with the 2022 Japanese Remote Surgery Guidelines. Based on over 30 remote-session evaluations by Kobe University, Medicaroid, and NTT DOCOMO, we summarize system performance across key domains: communication latency, QoS-based prioritization, VPN redundancy, fail-safe mechanisms, electromagnetic compatibility, human-system interaction, and legal compliance. Under optimized Sub6 5G SA conditions, the system consistently achieved a round-trip latency of approximately 100 ms and stable stereoscopic video transmission, even during simulated 1 Gbps congestion. Safety was ensured through automatic standby, dual-cockpit fallback, and real-time monitoring. Although hinotori™ meets technical and safety criteria, full-scale implementation remains constrained by legal requirements-particularly the mandate for an on-site physician under Article 20 of the Medical Practitioners Act. Supervised telesurgery, where remote surgeons assist on-site teams, is legally permissible and may serve as a transitional model. This review integrates technical findings with policy considerations, proposing a path toward safe, equitable, and sustainable RRAS deployment in Japan. To our knowledge, this is the first comprehensive review aligning domestic telesurgical validation with national policy benchmarks, offering a foundation for future regulation, accreditation, and digital surgical integration.

Indexed as

Robotic Surgical ProceduresWireless TechnologyHumansJapanTelemedicine5G communicationRobotic surgeryTelesurgery

Identifiers

PMID41160299
PMCPMC12644112

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.