Language
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
post
page
Get Free Quote
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
post
page
Get Free Quote

2023 AI Trends in Healthcare

2023 AI Healthcare Trends

2023 AI Healthcare Trends

Healthcare facilities are typically quick to embrace technology that supports improved patient care. While the adoption of artificial intelligence (AI) is generally slower than in many other industries, AI is making its way into the medical industry, and the pace of adoption is quickening.

AI has the ability to review data and identify anomalies or patterns far faster than relying solely on medical providers. From imaging analysis to patient vitals reviews, AI is creating opportunities to offer the best possible care to patients.

As with all technological innovations, the use of AI is changing and growing as time passes. Here’s a look at the AI trends in healthcare in 2023.

 

2023 AI Trends in Healthcare

Medical Imaging Analysis

One of the most popular uses for AI in healthcare settings is medical imaging analysis. AI has the ability to review substantial amounts of imaging data in an incredibly short time, speeding up the review process. Additionally, these solutions are potentially more adept at spotting smaller anomalies when compared to purely visual reviews by a person.

Since the identification of specific anomalies as early as possible leads to better outcomes, using AI as part of the analysis approach is highly beneficial. It reduces the odds that tiny irregularities are overlooked, increasing the odds that patients at risk of worsening conditions are treated at the earliest possible moment.

Drug Discovery

The process for developing new pharmaceutical treatments is lengthy, typically taking around nine years from discovery through approval to enter the marketplace. The cost is also incredibly high, with the average potentially sitting at over $985 million.

Fortunately, AI has the ability to shorten timelines and reduce costs. With AI technology, pharmaceutical researchers can dramatically reduce the number of molecules they have to create by using the tech to handle the bulk of the process in silico. Essentially, AI supports the virtualization of molecule creation, saving money and time during a drug’s development.

AI-supported drug discovery is incredibly new, but its potential is significant. While it isn’t clear how much of an impact AI will have, some experts believe it could reduce development timelines by months – if not years.

Treatment Recommendations

AI has the ability to analyze swaths of data to help determine which treatment options are potentially the best fit for individual patients. Along with reviewing patient information – factoring in data from complete medical records relating to the patient – AI can consider data collected in medical studies, review details about emerging approaches, and more. As a result, the AI can functionally use more information to see which treatments have the best chance of success for a specific patient, which could improve patient outcomes.

Additionally, AI can reduce the burden on medical providers treating patients with uncommon conditions or highly unique needs. Essentially, the AI can review data and bridge the information gap for providers, presenting recommendations to help guide treatment when a provider’s expertise alone is insufficient to factor in all of the variables quickly.

Improved AI Training

AI requires a significant amount of data to functionally train itself. Often, central repositories of data are needed to improve an AI model, something that’s challenging to create in the healthcare industry due to privacy and data control regulations.

Fortunately, federated and swarm learning – both emerging approaches that are being reviewed for effectiveness – are paving the way for more effective and lower risk AI training. Instead of requiring a central repository, AI models can connect to individual healthcare entities to review their data. As a result, the training data remains secure in its original location while the AI model receives all of the information is requires.

Improving Patient Care with Medical Interpreters and Translators

While medical interpreters and translators have long been a part of the healthcare industry, the need for reliable language services is continuing to grow in 2023. Many communities have a range of languages represented, so having reliable, experienced medical translators and interpreters available is essential to the patient experience.

Acutrans is a leading language services provider that specializes in the healthcare industry. The Acutrans team offers a professional solution to all of your medical interpretation and translation needs, maintaining the highest possible standards at all times.

Acutrans medical interpreters can cover more than 200 languages, and we offer medical interpretation on-site, video remote, and over the phone. The Acutrans team also provides certified medical document translations in 24 hours or less, giving healthcare facilities a simplified way to create discharge paperwork, care instructions, patient notifications, and other essential information in the patient’s preferred language.

Your healthcare facility can provide the best possible experience for patients by having a reliable language services provider by its side, eliminating communication barriers and improving outcomes. If you need dependable medical interpreters or translators, Acutrans is a leading professional solution. Contact us for a free quote today.