据Medicomp Systems的内科医师兼首席营销官Jay Anders博士说，人工智能还可以以可行的方式向临床医生提供数据。例如，一个病人可能有多种疾病，有多个医生治疗，没有真正的方法从一个或另一个医生那里分离症状。他说，人工智能可以过滤掉不相关的数据，并呈现所有与黄斑变性有关的信息，以协助治疗
As with other businesses and professions, technology is changing the way clinicians practice medicine.
From the telehealth boom during the pandemic to remote care, new health care models emerge every day. Now, with artificial intelligence and IoT devices being introduced into clinical settings, patients and physicians alike will experience care in a very different way, including taking a more preventative approach to health care.
The COVID-19 pandemic drove a lot of technology innovations in health care. According to MIT Technology Review, AI was partially responsible for the record speed in developing vaccines for the virus. Models sorted through subcomponents making up the outer proteins of the virus, predicted which subcomponents would most likely produce a response from the immune system, and helped researchers design targeted vaccines.
But that’s only the beginning. Combined with remote monitoring of patients, preventative care can be offered to improve the quality of lives. AI can also help clinicians and researchers predict adverse events and identify the next pandemic.
Combining AI And Remote Monitoring of Patients For Better Outcomes
Remote monitoring of patients has been gaining traction, particularly for chronic conditions. Initially, the goal was to replicate some of the outcomes from in-person settings, according to Ben Forgan, founder and CEO of Hologram.
However, patients and health care providers are now connected more frequently. Remote monitoring of patients is evolving to the point where it augments the in-office or hospital experience, Forgan said. This can drive better outcomes after patient discharge, or managing chronic conditions. All of this leverages some AI and machine learning.
“It’s kind of an interesting analogy with predictive maintenance,” Forgan said, “It’s now going on for the machines of the human body.”
AI can also present data to clinicians in an actionable way, according to Dr. Jay Anders, an internist and CMO of Medicomp Systems. For example, a patient may have multiple conditions and multiple physicians treating them, with no real way to isolate symptoms from one doctor or another. AI can filter out irrelevant data and present all information relating to, say, macular degeneration, to assist with treatment, he said.