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Suki Expands Collaboration with Google Cloud to Enhance AI Tools for Clinicians

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Health-tech startup Suki has announced an expanded partnership with Google Cloud, focusing on broadening its range of assistive tools for healthcare professionals. The collaboration leverages Google Cloud’s Vertex AI platform, which enables the development and deployment of advanced AI models. With this new integration, Suki aims to go beyond clinical documentation to offer tools that support clinicians in managing patient data more efficiently.

Suki’s flagship product, the Suki Assistant, helps physicians by automatically converting patient visit recordings into clinical notes, thus relieving them of the time-consuming task of manual documentation. The enhanced partnership with Google Cloud introduces two new features—patient summarization and a Q&A tool—designed to further assist clinicians in providing care.

The patient summary feature will allow doctors to access essential patient information, such as age, medical history, chronic conditions, and recent prescriptions, with a single click. By consolidating this information in one place, the feature aims to save clinicians the 15 to 30 minutes they typically spend searching for these details. Additionally, Suki’s new Q&A tool will allow doctors to ask specific questions about a patient’s health, such as querying their latest lab results or vaccination history. This tool uses AI to provide quick, accurate answers, improving efficiency and enabling healthcare providers to focus more on patient care.

The new features are expected to be available to a select group of clinicians starting today, with general availability anticipated for early next year. Importantly, these updates will not incur additional costs for existing customers.

Suki’s CEO, Punit Soni, emphasized that the company’s vision has always been to create a comprehensive assistant for clinicians, not just a documentation tool. He added that Suki’s innovations reflect a broader trend in healthcare, where AI is increasingly being integrated into clinical workflows to reduce administrative burdens. Soni, who previously worked at Google, stated that AI’s role in healthcare is poised for significant growth, much like the internet’s transformative impact on business and communication.

The company, which is already used by 350 health systems and clinics across the U.S., has seen rapid growth, tripling its client base this year. As healthcare systems continue to face challenges related to burnout and administrative overload, AI tools like Suki’s could become essential in easing the workload for doctors and improving overall efficiency in the healthcare sector.

Suki recently raised $70 million in funding, highlighting the growing interest from investors in healthcare AI solutions. With competition intensifying, including from companies like Microsoft’s Nuance Communications, which also provides AI-powered documentation tools, Suki’s ability to innovate with these new features will be crucial in maintaining its competitive edge.

 

AI-Powered Laser Test Detects Breast Cancer at Earliest Stage

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A groundbreaking test developed by researchers at the University of Edinburgh can detect breast cancer at its earliest stage, known as stage 1a, using laser screening and artificial intelligence (AI). The new test looks for subtle changes in the blood plasma that occur during the very early phases of cancer development—changes that current methods are unable to detect.

Published in the Journal of Biophotonics, the study reveals that the test offers high accuracy, particularly in identifying breast cancer in its nascent form. According to Dr. Andy Downes, who led the research, early diagnosis is crucial for improving survival rates. “Most deaths from cancer occur following a late-stage diagnosis after symptoms become apparent,” he said, emphasizing the importance of early detection for better long-term outcomes.

While current breast cancer detection methods include physical exams, X-rays, ultrasounds, and biopsies, these approaches primarily identify cancer at more advanced stages. The new test could change this by offering a fast, non-invasive way to spot cancer much earlier.

HOW THE TEST WORKS

The process begins by shining a laser beam into the blood plasma of the patient. This reveals tiny changes in the chemical makeup of cells and tissues that signal the presence of disease. The results are then interpreted using AI algorithms that analyze these subtle alterations.

In a pilot study involving 12 samples from breast cancer patients and 12 healthy controls, the AI-driven test achieved 98% accuracy in identifying stage 1a breast cancer. Additionally, the test was able to distinguish between the four main subtypes of breast cancer with an accuracy rate exceeding 90%, which could help tailor more effective, personalized treatment for patients.

POTENTIAL IMPACT AND FUTURE USES

This method, although initially focused on breast cancer, has the potential to be expanded into a multi-cancer screening test. Dr. Downes noted the next steps involve applying the technology to other cancer types and building a comprehensive database to refine its effectiveness.

The success of this test could represent a major leap forward in the fight against cancer, with the possibility of offering a routine screening tool that detects multiple types of cancer at their earliest and most treatable stages.

Google Bets Big on AI to Transform Search, Says Investment Chief

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Alphabet Inc., the parent company of Google, is channeling its largest investments into enhancing its core search business through artificial intelligence (AI), according to Ruth Porat, Alphabet’s president and chief investment officer. Speaking at the Reuters NEXT conference in New York, Porat underscored that applying AI to search remains the company’s most significant focus.

“We’re meeting people where they want to be next,” Porat stated during her interview with Reuters Editor-in-Chief Alessandra Galloni. Search advertising generates the majority of Alphabet’s annual revenue, which exceeds $300 billion.

In recent years, Alphabet has integrated AI-powered features into its search engine, such as AI-generated overviews for queries without straightforward answers. These efforts come in response to rising competition from companies like OpenAI, the creator of ChatGPT. However, this shift has presented challenges, including the phenomenon of AI “hallucinations,” where the technology produces inaccurate or fabricated information.

CLOUD AND HEALTHCARE: ADDITIONAL INVESTMENT AREAS

In addition to its AI-driven search initiatives, Alphabet is investing heavily in Google Cloud and healthcare technologies. Porat highlighted the company’s achievements in healthcare innovation, including AlphaFold, an AI system capable of predicting protein structures. Through its Isomorphic Labs division, Alphabet is leveraging AlphaFold for drug discovery.

Porat also emphasized the transformative potential of AI in medical care, from preserving eyesight for at-risk individuals to reducing administrative burdens on doctors. “It can restore humanity into the doctor-patient relationship,” she said, drawing on her own experiences as a two-time breast cancer survivor.

BALANCING INNOVATION AND COSTS

While Alphabet sees AI as a “generational opportunity,” the investments come with substantial costs. The company is projected to spend $50 billion in 2024 on chips, data centers, and other capital-intensive projects. Despite these expenses, Porat emphasized that Alphabet is committed to grounding its investments in measurable results. “We need to generate a return,” she stated.

As Alphabet pioneers advancements in both search and broader applications of AI, the company aims to maintain its dominance in search advertising while addressing competitive and operational challenges.