Akihiko Ozaki

Dr. Akihiko Ozaki

orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 May 2025 in BMJ Evidence-Based Medicine
Verified
Journal Article
Open access
PDF file
XLXufei Luo
Xufei Luo
YTYih Chung Tham
Yih Chung Tham
Mauro GiuffrèMauro Giuffrè
Mauro Giuffrè
RRRobert Ranisch
Robert Ranisch
MDMohammad Daher
Mohammad Daher
JEJanne Estill
Janne Estill
Objectives Generative artificial intelligence (GAI) tools can enhance the quality and efficiency of medical research, but their improper use may result in plagiarism, academic fraud and unreliable findings. Transparent reporting of GAI use is essential, yet existing guidelines from journals and institutions are inconsistent, with no standardised principles. Design and setting International online Delphi study. Participants International experts in medicine and artificial intelligence. Main outcome measures The primary outcome measure is the consensus level of the Delphi expert panel on the items of inclusion criteria for GAMER (Rreporting guideline for the use of Generative Artificial intelligence tools in MEdical Research). Results The development process included a scoping review, two Delphi rounds and virtual meetings. 51 experts from 26 countries participated in the process (44 in the Delphi survey). The final checklist comprises nine reporting items: general declaration, GAI tool specifications, prompting techniques, tool’s role in the study, declaration of new GAI model(s) developed, artificial intelligence-assisted sections in the manuscript, content verification, data privacy and impact on conclusions. Conclusion GAMER provides universal and standardised guideline for GAI use in medical research, ensuring transparency, integrity and quality.

Yasuhiro KoteraYasuhiro Kotera
Yasuhiro Kotera
AOAkihiko Ozaki
Akihiko Ozaki
HMHirotomo Miyatake
Hirotomo Miyatake
CTChie Tsunetoshi
Chie Tsunetoshi
YNYoshitaka Nishikawa
Yoshitaka Nishikawa
TTTetsuya Tanimoto
Tetsuya Tanimoto
The COVID-19 pandemic has negatively impacted the mental health of healthcare workers in many countries including Japan. While many survey-based findings have reported the serious state of their wellbeing among healthcare workers, the first-hand experience of the mental health and coping in this population remains to be evaluated. Accordingly, this study aimed to appraise them using constructionist thematic analysis on semi-structured interviews attended by a purposive and snowball sample of 24 healthcare workers in Japan conducted in December 2020–January 2021. Four themes were identified: (1) increased stress and loneliness, (2) reduced coping strategies, (3) communication and acknowledgement as a mental health resource, and (4) understanding of self-care. Participants noted that the characteristics of Japanese work culture such as long hours, collectivism and hatarakigai (i.e., meaning in work) to explain these themes. These findings suggest that robust support at an organizational and individual level, capturing intrinsic values, are particularly important for this key workforce to cope with increased stress and loneliness, leading to better patient care.

19 June 2017 in BMC Cancer
Verified
Journal Article
Open access
PDF file
AOAkihiko Ozaki
Akihiko Ozaki
SNShuhei Nomura
Shuhei Nomura
CLClaire Leppold
Claire Leppold
MTMasaharu Tsubokura
Masaharu Tsubokura
TTTetsuya Tanimoto
Tetsuya Tanimoto
HOHiromichi Ohira
Hiromichi Ohira
Little information is available concerning how patient delay may be affected by mass disasters. The main objectives of the present study are to identify whether there was a post-disaster increase in the risk of experiencing patient delay among breast cancer patients in an area affected by the 2011 triple disaster in Fukushima, Japan, and to elucidate factors associated with post-disaster patient delay. Sociodemographic factors (age, employment status, cohabitant status and evacuation status), health characteristics, and health access- and disaster-related factors were specifically considered. Records of symptomatic breast cancer patients diagnosed from 2005 to 2016 were retrospectively reviewed to calculate risk ratios (RRs) for patient delay in every year post-disaster compared with the pre-disaster baseline. Total and excessive patient delays were respectively defined as three months or more and twelve months or more from symptom recognition to first medical consultation. Logistic regression analysis was conducted for pre- and post-disaster patient delay in order to reveal any factors potentially associated with patient delay, and changes after the disaster. Two hundred nineteen breast cancer patients (122 pre-disaster and 97 post-disaster) were included. After adjustments for age, significant post-disaster increases in RRs of experiencing both total (RR: 1.66, 95% Confidence Interval (CI): 1.02–2.70, p < 0.05) and excessive patient delay (RR: 4.49, 95% CI: 1.73–11.65, p < 0.01) were observed. The RRs for total patient delay peaked in the fourth year post-disaster, and significant increases in the risk of excessive patient delay were observed in the second, fourth, and fifth years post-disaster, with more than five times the risk observed pre-disaster. A family history of any cancer was the only factor significantly associated with total patient delay post-disaster (odds ratio: 0.38, 95% CI: 0.15–0.95, p < 0.05), while there were no variables associated with delay pre-disaster. The triple disaster in Fukushima appears to have led to an increased risk of patient delay among breast cancer patients, and this trend has continued for five years following the disaster.

1 July 2020 in Health Policy
Verified
Journal Article
Closed access
AOAkihiko Ozaki
Akihiko Ozaki
HSHiroaki Saito
Hiroaki Saito
YSYuki Senoo
Yuki Senoo
TSToyoaki Sawano
Toyoaki Sawano
YSYuki Shimada
Yuki Shimada
TTTetsuya Tanimoto
Tetsuya Tanimoto

Yasuhiro KoteraYasuhiro Kotera
Yasuhiro Kotera
GKGreta Kaluzeviciute
Greta Kaluzeviciute
CLChristopher Lloyd
Christopher Lloyd
AEAnn-Marie Edwards
Ann-Marie Edwards
AOAkihiko Ozaki
Akihiko Ozaki
Online therapy has increasingly been utilised during the COVID-19 pandemic by many, including working populations. However, few qualitative studies have explored how online therapy is experienced in practice and discussed its implications for those working clients. Semi-structured interviews attended by nine integrative psychotherapists practising in California, the United States, were conducted. Thematic analysis of the transcripts identified three themes: (i) ‘Positive experiences of online therapy’, (ii) ‘Challenges experienced by therapists and clients in online therapy’, and (iii) ‘Preparation and training for online therapy’. Online therapy was assessed as being helpful, particularly in terms of mitigating against previous geographical and temporal barriers to uptake. However, due to technological disruptions and potential blurring of professional boundaries, online therapy may detract from the emotional salience of therapy, negatively impacting the therapeutic relationship and containment. Considering these positive experiences, participants expected that the demand for online therapy would continue to increase. Particularly in the occupational context, online therapy can offer interventions without fostering shame regarding mental health. The findings provide preliminary qualitative evidence that online therapy can be a useful adjunct to traditional forms of face-to-face therapy. However, therapists require more explicit training in implementing online therapy. Results are discussed in particular regarding the utility of this therapy for working clients.

6 September 2019 in BMJ Open
Verified
Journal Article
Open access
PDF file
AOAkihiko Ozaki
Akihiko Ozaki
FUFukushima Medical University
Fukushima Medical University
YOYosuke Onoue
Yosuke Onoue
TSToyoaki Sawano
Toyoaki Sawano
YSYuki Shimada
Yuki Shimada
TTTetsuya Tanimoto
Tetsuya Tanimoto
Objective This study investigated payments made by pharmaceutical companies to oncology specialists in Japan, what the payments were for and whether the receipt of such payments contravened any conflict of interest (COI) regulations. Design, setting and participants Payment data to physicians, as reported by all pharmaceutical companies belonging to the Japan Pharmaceutical Manufacturers Association, were retrospectively extracted for 2016. Of the named individual recipients of payments, all certified oncologists were identified, using certification data from the Japanese Society of Medical Oncology (JSMO). The individual specialisations of each of the oncologists was also identified. Outcome Payments to individual cancer specialists and what they were for were identified. Factors associated with receipt of higher value payments and payment flows to specialties were determined. Companies selling oncology drugs with annual sales of ≥5 billion yen (£33.9 million, €40.2 million and $46.0 million) (high revenue-generating drugs) were identified. Results In total, 59 companies made at least one payment to oncologists. Of the 1080 oncology specialists identified, 763 (70.6%) received at least one payment, while 317 received no payment. Of the 763, some 142 (13.1%) receiving at least 1 million yen (£6,800, €8,000 and $9200) accounted for 71.5% of the total. After adjustment of covariates, working for university hospitals and cancer hospitals and male gender were key factors associated with larger monetary payments. Payments preferentially targeted on cancer specialties using high revenue-generating drugs. The JSMO has its own COI policy for its members, but the policy did not mention any specific guidelines for certified oncology specialists. Conclusion Financial relationships were identified and quantified between pharmaceutical companies and oncology specialists, but the extent and worth varied significantly. Given the frequency and amounts of money involved in such linkages, it would be beneficial for specific COI regulations to be developed and policed for oncologists.