The telltale indicators of an infection appeared quickly after the affected person arrived within the emergency room. So medical doctors at China Medical College Hospital (CMUH) ordered a lab check to establish the wrongdoer.
Three days later, they obtained their reply: a drug-resistant micro organism. This specific bug had developed to outfox most antibiotics, even ones used as a final resort. It’s a infamous and doubtlessly deadly menace that haunts hospitals worldwide.
However by then the affected person was about to be discharged. That’s as a result of an AI mannequin developed by CMUH had already recognized the micro organism – in a single hour, in contrast with the 72 hours the usual lab check took. Docs had prescribed new medication in consequence, and the affected person recovered.
That AI mannequin is a key pillar of CMUH’s “clever antimicrobial system,” which was deployed into scientific apply final yr. Since then, CMUH has seen affected person mortality fall by 25%, antibiotic prices by 30% and antibiotic use by 50%. It has helped medical doctors deal with hundreds of sufferers very like the one who left the ER in March.

And it is only one instance of how CMUH is utilizing AI to create a brand new period of healthcare, stated Dr. Kai-Cheng Hsu, director of CMUH’s Synthetic Intelligence Middle for Medical Prognosis.
CMUH has developed and deployed lots of of AI algorithms, hosted on Microsoft’s Azure cloud platform, which are used on daily basis throughout the system’s 12 hospitals. The crew’s custom-built AI fashions are serving to medical doctors diagnose ailments like most cancers and Parkinson’s. They’re serving to ER employees deal with stroke and coronary heart assault sufferers faster. And so they’re serving to ease the paperwork load on medical doctors and nurses.
“The main objectives of each AI instrument we develop are to avoid wasting sufferers’ lives and save medical doctors’ time,” Hsu stated. “Our imaginative and prescient is to be a world-class platform supplier for the AI hospital of the long run.”
Saving time, saving lives
CMUH has been laying the foundations for that AI hospital for years. In 2015, the system established a middle for large knowledge, which might guarantee affected person knowledge privateness whereas supplying coaching gasoline for AI algorithms. The AI Middle for Medical Prognosis launched two years later.

At this time, 10 totally different AI clinics function at CMUH. A cross-disciplinary crew of medical doctors and AI researchers meet month-to-month to debate potential new initiatives and assessment progress on current analysis. Fashions which are efficiently validated and examined are built-in into scientific apply. Thus far, eight of its AI fashions have obtained regulatory approval from Taiwan’s Meals and Drug Administration, and eight extra have been submitted for assessment.
All have been developed and deployed utilizing the Azure Machine Studying platform.
“Azure is on the core of our digital healthcare transformation,” stated Dr. Jiaxin Yu, director of CMUH’s AI Innovation Middle. “The platform lets us rapidly develop new AI instruments, deploy them into the clinic and enhance the every day apply of our physicians.”
The AI fashions are sometimes integrated into acquainted software program medical doctors use on daily basis. Some are deployed with a literal push of a button. For instance, medical doctors who order an MRI on a knee harm can click on a button marked “AI” that predicts the chance of a meniscus tear. That instantaneous consequence can keep away from delays for a follow-up appointment and get a affected person handled faster.
Saving time usually means saving lives. That’s more and more true relating to the fast identification of lethal, drug-resistant micro organism. The World Well being Group predicts that by 2050, antibiotic resistance will trigger extra deaths than most cancers.
However because the affected person with drug-resistant micro organism discovered, the usual lab methodology can take as much as three days. So CMUH developed a brand new mannequin. It mixed machine studying with a standard and far easier lab method that identifies molecular fingerprints of various bacterial strains. Information on hundreds of scientific samples have been used to coach the algorithm, which may precisely establish six various kinds of multi-drug resistant micro organism in a single hour, Yu stated.
With attainable coronary heart assault sufferers, vital care will be delayed whereas ready for a specialist to assessment an electrocardiogram (ECG), Hsu stated. CMUH developed an algorithm that may analyze ECGs, detect the chance of a coronary heart assault and ship a message to an on-duty specialist for affirmation.
CMUH emergency room employees have used the AI mannequin for 2 years. It has lower in half the time between when a affected person arrives and when they’re handled, Hsu stated. The algorithm was so profitable they determined to accomplice with a medical gadget producer to convey it into ambulances as an early warning system.

Fireplace departments within the cities of Taichung and Nantou have used the system for almost a yr, Hsu stated. An ECG will be taken in an ambulance after which uploaded to the cloud, the place the AI mannequin may help with a prognosis and alert medical groups on the hospital to arrange for a coronary heart assault affected person. This will lower the time between symptom onset and the beginning of remedy from two hours right down to 10 minutes, he stated.
Not all AI fashions have been as profitable, Hsu and Yu stated.
CMUH developed an algorithm to foretell sepsis, a critical sickness triggered by an infection. Many sufferers with sepsis present indicators of organ failure. When the AI mannequin was educated, it discovered to correlate these signs with the sickness. However not all sufferers with organ failure have sepsis. Because of this, the mannequin incorrectly flagged some sufferers with organ failure as having sepsis. To resolve the issue, Yu stated, the crew might prepare future fashions with further labels to assist it distinguish circumstances the place organ failure will not be attributable to an infection.
Hsu and Yu famous that medical doctors have all the time needed to make complicated selections utilizing the info that they had. AI is there to assist assist these selections by offering deeper insights into knowledge, to not make selections greatest left to medical specialists.
Primarily based on CMUH’s journey, AI may help enhance the care medical doctors ship, they stated. That’s the reason CMUH hopes to share its AI instruments broadly utilizing the Azure platform.
“We need to deploy our AI fashions to hospitals and clinics all over the world, and it’s far more environment friendly and cost-effective to make use of a cloud platform,” Yu stated. “Affected person privateness is all the time a prime concern, and a vital cause we selected Azure is as a result of it could possibly guarantee the protection of delicate well being knowledge. Azure actually reduces the obstacles to bringing AI into the hospital.”
Associated:
Learn CMUH’s peer-reviewed analysis on utilizing AI to detect coronary heart assaults, spot blocked arteries within the mind and establish drug-resistant microbes.
High picture: Medical employees at China Medical College Hospital in Taichung, Taiwan, are utilizing AI to foretell sufferers’ want for antibiotics and different medicines, a number of the lots of of AI algorithms which are used on daily basis throughout the system’s 12 hospitals. Picture by Billy H.C. Kwok for Microsoft.