A forum on medical imaging equipment and artificial intelligence was held during the 2021 National Conference on Molecular Imaging, which was held in Guangzhou, South China's Guangdong province, from Dec 27 to 28.

Presided over by Wang Fan, director of the Molecular Imaging Academic Subgroup of the Biophysical Society of China (BSC) and professor at Peking University, and Wang Kun, a research fellow from the Institute of Automation at the Chinese Academy of Sciences (CAS), the forum's attendees discussed the development and application of medical imaging equipment and artificial intelligence and looked at future prospects for this field.

Zhou Xin, vice-dean of the Innovation Academy for Precision Measurement Science and Technology at the CAS, reports on human multinuclear MRI and its clinical application. [Photo/BSC Molecular Imaging Academic Subgroup]

Zhou Xin, a research fellow and vice-dean of the Innovation Academy for Precision Measurement Science and Technology at the CAS, delivered a speech titled Human Multinuclear MRI and Its Clinical Application, in which he explained the concept and subdivision of biomedical imaging.

Wang Qiangbin, deputy director of the Suzhou Institute of Nano-Tech and Nano-Bionics, gives a speech on advancements in vivo fluorescence imaging technologies.[Photo/BSC Molecular Imaging Academic Subgroup]

Wang Qiangbin, deputy director of the Suzhou Institute of Nano-Tech and Nano-Bionics and director of the Key Laboratory of Nano-Bio Interface at the CAS, reported on advancements in vivo fluorescence imaging technologies and presented relevant applications such as visual navigation AD treatment, multi-channel imaging and optimal combination treatment for tumors.

Liu Zaiyi, director of the Radiology Department at Guangdong Provincial People’s Hospital, talks about the construction of AI medical image databases. [Photo/BSC Molecular Imaging Academic Subgroup]

Liu Zaiyi, director of the Radiology Department at Guangdong Provincial People’s Hospital, gave a report on “construction of AI medical image databases”. He summarized the harm of medical misdiagnosis and challenges faced by traditional image diagnosis, put forward new opportunities brought by modern artificial intelligence in medical treatment, such as intelligent scanning and quality control, big data image information mining research, multi-scale information fusion and medical image database construction, and analyzed new challenges in this field, including the poor clinical ease of use and lack of interpretability, as well as the ethical problems of AI imaging software.

Yang Yongfeng, a research fellow from the Shenzhen Institute of Advanced Technology at the CAS, gives a report titled Past, Present and Future of PET Instrument Research and Development for Small Animals. [Photo/BSC Molecular Imaging Academic Subgroup]

Yang Yongfeng, a research fellow from the Shenzhen Institute of Advanced Technology at the CAS, elaborated on the history and the status quo of PET instrument research and development for small animals and presented his team's latest research achievements.