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Adtalem Global Education CEO: AI Transforms Healthcare for Patients and Clinicians

Accelerating Healthcare Innovation

Artificial intelligence is reshaping the healthcare industry, driving innovation from advanced imaging analysis and drug discovery to comprehensive cancer screenings. As technology plays an increasingly critical role in streamlining healthcare operations, industry leaders like Adtalem are harnessing AI to address one of the most pressing challenges: a workforce burdened by administrative tasks.

Streamlining Administrative Demands

Leading companies such as Epic Systems are investing in AI-powered solutions that revolutionise patient interactions and clinical documentation. These AI features not only simplify appointment scheduling and lab result comprehension but also aid in real-time note-taking by predictively gathering relevant patient data, such as blood pressure trends. In parallel, a surge in venture capital has fuelled startups dedicated to easing clinician workloads by automating routine tasks—a trend underscored by Silicon Valley Bank’s report indicating that over 60% of healthcare-focused AI investments between 2019 and 2024 targeted administrative and clinical applications.

Empowering Clinicians in Patient Care

At the recent CNBC AI Summit, industry innovators highlighted the fundamental shift in healthcare: returning the focus to patient care. Abridge, recognised on CNBC’s Disruptor 50 list, has developed a platform that transcribes clinical conversations and integrates data from previous visits to enhance contextual understanding. As co-founder and chief technology officer Zachary Lipton observed, this technology is designed to reclaim valuable time for physicians, allowing them to dedicate more energy to patient interactions rather than burdensome documentation.

Developing a Future-Ready Workforce

Steve Beard, CEO of Adtalem Global Education, emphasised that administrative burdens remain the primary driver of burnout among healthcare professionals. To counter this trend, Adtalem has partnered with Google Cloud to launch a new AI credentials programme aimed at fostering digital fluency among clinicians, nurses, and other healthcare staff. This initiative, set to debut next year, will equip healthcare workers with specialised AI tools to improve clinical workflow efficiency and overall patient care.

Balancing Technological Advancement With Human Touch

Despite the rapid pace of AI innovation, experts assert that the human element in healthcare is irreplaceable. While automation can significantly reduce time-consuming tasks, the trust and rapport built between clinicians and patients remain inherently human. Beard remarked that, even as transformative technologies usher in changes, the core objective in healthcare is to ensure that clinicians can focus on providing compassionate, bedside care.

As the industry navigates this transformative era, the integration of AI in healthcare not only promises increased productivity but also calls for a renewed focus on workforce readiness. With strategic investments and comprehensive training programmes, AI has the potential to elevate both patient outcomes and clinician satisfaction in an increasingly digital landscape.

Apple Ties Its Mac Strategy To The AI Boom With New Mac Mini And Mac Studio Models

Apple has updated its Mac Mini and Mac Studio desktops with new processors and higher AI performance as developers increasingly use Macs for local AI workloads. The new models are scheduled to ship on Sept. 22, weeks before the company is expected to introduce its next iPhone generation.

Macs Target Local AI Development

Developers and researchers are increasingly using Apple computers to run AI models locally, reducing reliance on cloud infrastructure. Mac Mini systems can support AI agent software, while Mac Studio machines are designed for more demanding model training and deployment workloads.

Apple said its processors combine Neural Engines for machine learning with unified memory architecture designed to reduce performance bottlenecks. The company says the combination allows users to run and fine-tune larger AI models directly on their devices.

Mac Mini Gets First M6 Generation Chip

The updated Mac Mini can be configured with Apple’s M6 and M5 Pro processors, making it the company’s first computer with an M6-generation chip. The M6 is manufactured by Taiwan Semiconductor Manufacturing Co. (TSMC) using a 2-nanometer process.

The previous Mac Mini lineup offered M4, M4 Pro and M4 Max processors. Apple said the M5 Pro version of the new model can process large language model prompts 8.5 times faster than earlier Mac Mini Pro configurations.

Pricing has also increased. The new Mac Mini starts at $899, $100 more than the previous model, after Apple raised the price from $599 earlier this summer, citing higher memory costs.

Mac Studio Targets Larger AI Workloads

Mac Studio remains Apple’s highest-performance desktop without an integrated display, following the discontinuation of the Mac Pro earlier this year. New configurations include the M5 Max, which Apple says can run large language models nearly four times faster than the previous generation.

The M5 Ultra is available for users with heavier computing requirements. Apple says multiple Mac Studio systems using the Ultra chip can be connected to pool memory and run models with up to a trillion parameters.

Mac Studio with the M5 Max starts at $2,499, unchanged from the previous generation. The M5 Ultra configuration starts at $5,499, compared with at least $5,299 for the previous model using the M3 Ultra.

Apple Expands Its Local AI Hardware

The new desktops give developers and researchers more computing capacity for running AI models locally. Apple is also increasing the role of its custom processors and unified memory architecture in handling AI workloads without relying entirely on cloud-based computing.

Both Mac Mini and Mac Studio models are available for presale and are scheduled to begin shipping on Sept. 22.

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