
整合分裝、運送及回收3大作業,透過機械手臂與自動化設備取代高風險工作
台北榮總自主研發「AI核藥自動分裝系統」正式啟用,結合AI影像辨識與機械手臂,整合核藥分裝、運送及回收作業,提升精準度與效率,並降低醫療人員輻射暴露風險。
AI-generated summary
核醫檢查與治療使用的放射性藥品在分裝時需精準掌握劑量,過去多仰賴人工搬運操作,醫療人員面臨輻射暴露與肌肉骨骼負荷風險。
核醫檢查及治療使用的放射性藥品,分裝時不僅要精準掌握劑量,還得與時間賽跑。台北榮總自主研發「AI核藥自動分裝系統」正式啟用,整合分裝、運送及回收作業。院長陳威明表示,智慧醫療應落實於臨床,提升醫療品質與病人安全,同時為醫療同仁打造更友善的工作環境。
北榮表示,這套系統由核醫部與醫工室跨領域合作研發,結合人工智慧影像辨識、六軸機械手臂及自動化控制技術,並獲國立陽明交通大學研究團隊及機器手臂廠商協助。研發成果在國科會主辦的「2026 AI Innovation Award」競賽中,從435個參賽團隊脫穎而出,成為3個獲獎團隊之一。
陳威明指出,北榮連續3年獲選《Newsweek》全球最佳醫院,並入選全球最佳智慧醫院,國際肯定令人振奮,但智慧醫療的真正價值,不只是引進先進科技,更要讓創新實際應用於臨床,兼顧病人安全與醫療人員的工作需求。
北榮副院長李偉強在啟用典禮,拿起核藥專用的鉛屏蔽容器指出,「這個鉛罐看起來不起眼,拿起來卻相當沉重。」核醫同仁每天必須反覆搬運、操作這些設備,除了耗費人力,也面臨輻射暴露及肌肉骨骼負荷的風險。導入自動化,就是希望讓機器承擔重複、繁重且具有風險的工作,減輕第一線負擔。
北榮副院長林永煬表示,核醫藥品的放射性活度會隨時間持續衰減,製備過程除了要求精準,也必須掌握時間,每個環節都仰賴專業人員的經驗與判斷。導入智慧自動化技術,有助提升作業效率與精準度,並強化病人及工作人員的安全。
北榮核醫部主任王昱豐說明,核藥從製備到臨床使用,可分為配製、分裝、運送及回收4大環節,每一步都須兼顧精準、效率與輻射防護。目前系統已整合後3項作業,未來將進一步挑戰技術難度更高的核藥配製,逐步朝全流程自動化邁進。
AI outlook — possibilities, not facts
將挑戰技術難度更高的核藥配製,逐步朝全流程自動化邁進。
Likely · Within months

The British medical journal "The Lancet" published a report stating that "male circles" online communities on social media should be considered a public health issue. Researchers warn of the threat it poses to men's mental health and women's safety, and call on governments to intervene with policies similar to those used against the tobacco industry.

A 32-year-old woman went to the hospital complaining of a foreign body sensation in her throat. Conventional CT showed no abnormalities, but a splenic artery aneurysm was identified through the AI imaging model. Expert Zhang Hongkun pointed out that visceral aneurysms are highly hidden, and young people are also at risk. They need to be diagnosed through CTA, and emphasized that AI is only an auxiliary, and the final diagnosis and treatment relies on the judgment of clinicians.

The Changde Group of the 11th batch of Hunan Province’s Tibet Aid Team promoted the ophthalmology counterpart assistance between Li County People’s Hospital and Longzi County People’s Hospital. A team of experts went to Tibet to screen 185 people and perform vision restoration operations on 13 cataract patients, aiming to improve local ophthalmology diagnosis and treatment capabilities through technical teaching.
27-year-old anti-cancer blogger Yueyue passed away from triple-negative breast cancer. Expert Li Yanshuang reminded that young women should seek medical treatment promptly if they find breast lumps. They cannot rule out the possibility of malignancy based on self-examination or "no pain" alone, and emphasized the importance of standardized screening and pathological diagnosis.

After Typhoon Qiangbi, the Taichung Blood Donation Center’s blood inventory was in critical condition, with only 3.4 days of total inventory left. Among them, type A only has 2.1 days left, and type O only has 2.6 days left. The supply of medical blood faces severe challenges. The center appeals to the public to donate blood to make up for the shortfall in medical needs of about 1,800 bags per day.

Professor Chen Sheng, a neurology expert at Shanghai Ruijin Hospital, pointed out that rare diseases of the neuroimmune system are not terminal illnesses. With early diagnosis and precise treatment, most patients can recover. Experts remind that if symptoms such as sudden mental disorder or epilepsy occur, you should seek medical evaluation promptly.