GE Healthcare reported a mixed quarter before Wednesday’s opening bell. While revenue slightly missed, an earnings beat along with a number of other positives pushed the stock higher.

GE HealthCare on Monday announced a new artificial intelligence application it said will save time for doctors who diagnose and treat cancer.

CareIntellect for Oncology, as the tool is called, will help oncologists get up to speed on a patient’s history and disease progression by quickly showing them the data they need, the company said. GE HealthCare wants to spare oncologists the headache of digging through records so they can focus on caring for their patients, the company said.   

Health-care data is notoriously difficult to analyze, and as much as 97% of the data produced by hospitals goes unused, according to a Deloitte report. That information is stored across numerous vendors and file formats such as images, lab test results, clinical notes and device readings, which can be extremely taxing for doctors to sort through. 

“It’s very time-consuming, very frustrating for these clinicians,”  Dr. Taha Kass-Hout, GE HealthCare’s global chief science and technology officer, told CNBC in an interview.

CareIntellect for Oncology will be able to summarize clinical reports and identify when patients are deviating from their treatment plans, Kass-Hout said. The system can flag when a patient misses a lab test, for instance, so that their doctor can determine the best next steps. 

“For cancer patients, the treatment journey can last years and involve numerous doctor visits,” he said.

CareIntellect for Oncology can also help identify relevant clinical trials that patients might be eligible for, saving oncologists hours of work, said Chelsea Vane, vice president of digital products at GE HealthCare. That process has traditionally required doctors to scroll through a database of available trials, memorize inclusion and exclusion criteria and dig through patient records to determine a good fit, Vane told CNBC.

“What we’ve done is remove that,” she said.

The purpose of the new app is to save oncologists time and effort, but if doctors want to dive into more detail, CareIntellect for Oncology allows them to view the original record that’s referenced, the company said.

GE HealthCare is planning to make CareIntellect for Oncology widely available to U.S. customers in 2025, and it will initially be optimized for prostate and breast cancers. Health organizations such as Tampa General Hospital are already evaluating it, the company said. Since the tool is cloud-based, it will drive recurring revenue for GE HealthCare, Kass-Hout said. 

The company is planning to introduce additional apps under the CareIntellect brand in the future, Kass-Hout said. The oncology tool is the first offering, and health-care organizations will be able to easily pick and choose the apps that they want to enable, he added.  

GE HealthCare is also hoping to integrate its CareIntellect products with some of the other early stage AI initiatives it teased on Monday.   

The company highlighted five new AI products that it is developing, including a collaborative team of AI agents, a tool to predict an aggressive type of breast cancer recurrence, and a tool to flag suspicious mammography scans to radiologists more quickly. 

GE HealthCare decided to preview the new tools to give customers an idea of the problems it’s trying to solve, Kass-Hout said. The company will solicit feedback from health-care organizations and work with regulators as necessary, he said. 

For instance, GE HealthCare is exploring how a group of AI agents can work together as a team to support doctors through its tool called Health Companion.

The agents in Health Companion will be trained as experts in specific domains, such as radiology, pathology or genomics, and offer insights based on their expertise, Kass-Hout said. The agents could identify whether a specific symptom is a side effect of treatment or a sign of disease progression, for example, and suggest next steps, he added. 

Ideally, the tool will give doctors the same kind of support they’d expect from working with a multidisciplinary team, Kass-Hout said. But while consulting a panel of experts can take days or weeks, Health Companion would be available immediately. 

“At the moment, it’s an early concept,” he said. “Our aim is to elevate the standard of care and get ahead of the overburden of clinicians trying to take care of their patient.”

WATCH: The Pulse of AI in Health Care

Nvidia, Google, Microsoft and dozens of other tech companies are descending on Las Vegas next week to showcase artificial intelligence tools they say will save doctors and nurses valuable time. 

Sunday marks the official start of a health-care technology conference called HLTH, which is expected to draw more than 12,000 industry leaders this year. CNBC will be on the ground. Based on the speaking agenda and announcements leading up to the conference, AI tools to conquer administrative burdens will be the star of this year’s show. 

Doctors and nurses are responsible for mountains of documentation as they work to keep up with patient records, interface with insurance companies and comply with regulators. Often, these tasks are painstakingly manual, in part because health data is siloed and stored across multiple vendors and formats. 

The daunting administrative workload is a major cause of burnout in the industry, and it’s part of the reason a nationwide shortage of 100,000 health-care workers is expected by 2028, according to consulting firm Mercer. Tech companies, eager to carve out a piece of a market that could top $6.8 trillion in spending by the decade’s end, argue that their generative AI tools can help.

Google, for instance, said it’s working to expand its health-care customer base by tackling administrative burden with AI.

On Thursday, the company announced the general availability of Vertex AI Search for Healthcare, which it introduced in a trial capacity during HLTH last year. Vertex AI Search for Healthcare allows developers to build tools to help doctors quickly search for information across disparate medical records, Google said. New features within Google’s Healthcare Data Engine, which helps organizations build the platforms they need to support generative AI, are also now available, the company said.

Google on Thursday released the results of a survey that said clinicians spend nearly 28 hours a week on administrative tasks. In the survey, 80% of providers said this clerical work takes away from their time with patients, and 91% said they feel positive about using AI to streamline these tasks. 

Similarly, Microsoft on Oct. 11 announced its collection of tools that aim to lessen clinicians’ administrative workload, including medical imaging models, a health-care agent service and an automated documentation solution for nurses, most of which are still in the early stages of development. 

Microsoft already offers an automated documentation tool for doctors through its subsidiary, Nuance Communications, which it acquired in a $16 billion deal in 2021. The tool, called DAX Copilot, uses AI to transcribe doctors’ visits with patients and turn them into clinical notes and summaries. Ideally, this means doctors don’t have to spend time typing out these notes themselves. 

Nurses and doctors complete different types of documentation during their shifts, so Microsoft said it’s building a separate tool for nurses that’s best suited to their workflows. 

AI scribe tools such as DAX Copilot have exploded in popularity this year, and Nuance’s competitors, such as Abridge, which has reportedly raised more than $460 million, and Suki, which has raised $165 million, will also be at the HLTH conference. 

Dr. Shiv Rao, the founder and CEO of Abridge, told CNBC in March that the rate at which the health-care industry has adopted this new form of clinical documentation feels “historic.” Abridge received a coveted investment from Nvidia’s venture capital arm that same month. 

Nvidia is also gearing up to address doctor and nurse workloads at HLTH. 

Kimberly Powell, the company’s vice president of health care, is delivering a keynote Monday that will explain how using generative AI will help health-care professionals “dedicate more time to patient care,” according to the conference’s website.

Nvidia’s graphics processing units, or GPUs, are used to create and deploy the models that power OpenAI’s ChatGPT and similar applications. As a result, Nvidia has been one of the primary beneficiaries of the AI boom. Nvidia shares are up more than 150% year to date, and the stock tripled last year. 

The company has been making steady inroads into the health-care sector in recent years, and it offers a range of AI tools across medical devices, drug discovery, genomics and medical imaging. Nvidia also announced expanded partnerships with companies such as Johnson & Johnson and GE HealthCare in March. 

While the health-care sector has historically been slow to adopt new technology, the buzz around administrative AI tools has been undeniable since ChatGPT exploded onto the scene two years ago. 

Even so, many health systems are still in the early stages of evaluating tools and vendors, and they’ll be making the rounds on the HLTH exhibition floor. Tech companies will have to prove they have the chops to tackle one of health care’s most complex problems. 

GE Healthcare‘s quiet outperformance is becoming harder to tune out — and its new drug used in radiology to improve the diagnosis of heart disease can help the Club stock make some more noise.