北海道大学 · 의학
오카사와라 교수의 연구실은 의료 분야에서의 인공지능 적용을 위한 해석 가능성(Explainable AI)과 임상적 유용성을 동시에 확보하는 데 초점을 맞추고 있습니다. 특히 딥러닝 모델의 의사결정 과정을 시각화하는 Grad-CAM 기반 기법과, 의료 영상 및 모바일 건강 앱의 비용-효익 분석을 통해 실용적인 의료 기술 도입을 지원합니다. 또한, 텔레의료 확산 저해 요인 분석 및 공공 인식에 대한 사회적 요인 분석을 통해 기술의 사회적 수용성 제고에도 기여하고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
The opacity of deep learning makes its application challenging in the medical field. Therefore, there is a need to enable explainable artificial intelligence (XAI) in the medical field to ensure that models and their results can be explained in a manner that humans can understand. This study uses a high-accuracy computer vision algorithm model to transfer learning to medical text tasks and uses the explanatory visualization method known as gradient-weighted class activation mapping (Grad-CAM) to
Many of the respondents were optimistic about the role of AI in medicine. However, when asked whether they would like to use AI-driven medicine, they tended to give a negative response. This trend suggests that concerns about the lack of regulation and about accountability hindered acceptance. Additionally, the results revealed that doctors were more enthusiastic than members of the public regarding AI-driven medicine. For the successful implementation of AI in medicine, it would be necessary to
Sensitivity analyses showed that, with the exception of conditions where the transition probability of insulin therapy, utility value, or increased medical costs increases, the ICER for the introduction of CGM apps was below the threshold of US $43,478/QALY used by the Central Social Insurance Medical Council. Our results provide basic data on the cost-effectiveness of introducing CGM apps, which are currently starting to come into use.
The number of tweets about radiation has decreased overall, and feelings about radiation have trended positively. However, the fact that tweets about Fukushima Prefecture trended negatively, despite decreasing in percentage, suggests that negative feelings toward Fukushima Prefecture have become more extreme. We found that while the bots and retweets that were not about Fukushima Prefecture gradually trended toward positive feelings, the bots and retweets about Fukushima Prefecture trended towar
<b><i>Background:</i></b> Telemedicine is not significantly spreading globally and large variations in its availability and use exist internationally. Although many factors already inhibit the dissemination of telemedicine, its complexly intertwined factors make it more difficult to solve this problem. This study aimed to analyze and visualize relationships among factors inhibiting the dissemination of telemedicine. We applied the interpretive structural modeling method and cross-impact matrix m
This study aimed to assess and compare the efficiency of non-invasive imaging modalities in detecting myocardial ischemia in patients with suspected stable angina as easy-to-understand indices. Our study included 1000 patients with chest pain and possible stable myocardial ischemia. The modalities to be assessed were cardiac magnetic resonance imaging (CMRI), single-photon emission computed tomography, positron emission computed tomography (PET), stress echocardiography, and fractional flow rese
The equality of the distribution of healthcare services in China was unfair between the eastern and middle-western areas. The government launched the developing requirements and paid additional attention to narrowing the imbalance among different economic level regions to meet the needs of the local people. Although many provinces did not meet the requirements for medical resources in 2019, the distribution of healthcare services was approached relatively equitably countrywide.
The results indicated that 7-days-per-week rehabilitation for acute stroke rehabilitation was likely to be cost-effective.
