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Jul 31, 2024·HealthLeaders Media

A recent survey by Propeller Insights for Carta Healthcare reveals that 45% of consumers have encountered inaccuracies in their medical records, with a significant portion believing that AI could help address these issues. However, despite 60% of respondents confident that AI can improve record accuracy, more than half express concerns about its security and reliability. The survey also highlights generational differences, with younger people more frequently correcting record errors than their elders, and Baby Boomers showing the highest confidence in AI's potential to improve data accuracy. While accessibility of medical records is generally not problematic, the findings suggest that healthcare executives need to address public trust in AI and ensure its accuracy, seeing it as both a solution and a marketing tool.

Jul 31, 2024·PYMNTS

**Apple Delays AI Features for New iPhone and iPad Software Updates** Apple has delayed the release of its new AI features, Apple Intelligence, for iPhone and iPad software until October, post the September launch of iOS 18 and iPadOS 18. Developers will access early versions via iOS 18.1 and iPadOS 18.1 betas. This delay aims to ensure stability and smooth consumer rollout, especially for advanced features like a revamped Siri. Meanwhile, competitors like Microsoft and OpenAI are advancing their AI capabilities. Regulators globally are scrutinizing AI industry practices to address potential antitrust concerns. **Maverick COO Says Embedded Finance Drives Growth and Personalization in Digital Ecosystems** Ben Griefer, COO of Maverick Payments, highlights the transformative impact of embedding financial services into digital ecosystems. This integration not only adds value to platforms but also boosts revenue. Historically challenging, embedded finance is now more accessible due to advanced technologies, leading to its adoption in various sectors. By leveraging customer data, businesses can offer personalized financial products, enhancing customer loyalty and satisfaction. Scalability remains a key advantage, allowing businesses to use established payment infrastructures while focusing on their core services. Griefer predicts continued growth and integration

Jul 31, 2024·mobihealthnews

Abridge, Epic, and Mayo Clinic have partnered to develop a generative AI documentation platform that integrates Abridge’s AI tools into Epic’s EHR system, specifically for Mayo Clinic nurses. Established in 2018, Abridge provides an AI tool that records, transcribes, and organizes medical conversations, summarizing key information like health conditions and care plans. The new platform aims to streamline nursing workflows and is expected to be available by the end of 2024. This collaboration leverages Abridge’s AI capabilities, Epic’s developmental resources, and Mayo Clinic’s nursing expertise. Abridge recently raised significant funding and has secured multiple partnerships to expand its clinical documentation tools across various health systems.

Jul 30, 2024·Cleveland Clinic Newsroom

Cleveland Clinic has appointed Ben Shahshahani, Ph.D., as its first Chief Artificial Intelligence Officer to spearhead AI implementation across the health system. With over two decades of experience in AI and machine learning, Shahshahani will develop and execute an enterprise AI strategy aimed at improving patient care, caregiver experience, and organizational efficiencies. Reporting to Chief Digital Officer Rohit Chandra, Ph.D., Shahshahani will focus on leveraging AI while adhering to safety, ethical standards, and data security regulations. His previous roles include senior positions at SiriusXM, Pandora, Verizon Media/Yahoo, Google, Nuance, and IBM.

Jul 29, 2024·wired.com

OpenAI has announced SearchGPT, a prototype search engine leveraging generative AI to enhance users' search experiences by providing conversational query responses and relevant links. The tool integrates data from publishers under licensing agreements and aims to compete with existing AI search engines from Google and Microsoft. Although no demo is provided for WIRED, OpenAI confirms the tool is being tested with partners. The strategy marks OpenAI's diversification efforts amid high operational costs and intense competition from companies like Google, which have rapidly advanced their generative AI capabilities.

Jul 26, 2024·AI in Healthcare

The Health Foundation in the U.K. has suggested a comprehensive strategy to maximize the benefits and mitigate the risks of AI in healthcare. They propose six key priorities: engaging the public, patients, and healthcare staff in AI's development; focusing AI efforts on critical NHS needs; enhancing data and digital infrastructure; ensuring rigorous testing and evaluation of AI technologies; establishing clear regulatory guidelines; and equipping the healthcare workforce with necessary AI skills. These priorities aim to address the urgent demand for healthcare services and workforce shortages, ensuring AI's advantages are realized broadly rather than in isolated pockets.

Jul 26, 2024·The Virginian-Pilot

Dr. David Wallace and around 200 other primary care physicians at Sentara are testing DAX Copilot, a generative AI that automatically transcribes patient visit notes. The AI technology is designed to alleviate the administrative burden on doctors, thereby reducing burnout and addressing the shortage of primary care physicians. The system, which records conversations via a secure app, has received positive feedback from providers and patients, with only one report of patient objection out of over 20,000 visits. Sentara’s legal and IT teams ensure privacy by routing recordings directly to Nuance Communications' servers instead of storing them on doctors’ phones, and while the AI-generated notes still require doctors' review and signatures, it significantly cuts down on document preparation time. Additionally, the AI has the potential to offer visit highlights and write prescriptions, aiming to further streamline medical workflows.

Jul 25, 2024·McKinsey Quarterly

The McKinsey article explores the evolving role of generative AI (gen AI) from providing information to executing complex workflows as "agents," akin to virtual coworkers. These gen AI-powered agents leverage foundation models to adapt to new scenarios, use natural language for task instructions, and integrate seamlessly with digital ecosystems, potentially automating intricate workflows that previously required human intervention. Early investments by tech giants like Google, Microsoft, and OpenAI signal the rise of agentic systems, which could streamline processes such as loan underwriting, code modernization, and online marketing. However, the technology remains nascent, warranting careful strategic planning and human oversight to mitigate risks and maximize its potential in business applications.

Jul 25, 2024·InfoWorld

Meta’s Llama 3.1 family of large language models (LLMs) presents significant advantages for enterprises by offering open weights, improved accuracy, and cost-saving opportunities. Analysts note that these models empower businesses to develop custom AI solutions, avoid vendor lock-in, and leverage high-performance capabilities without expensive proprietary licenses. However, the high deployment costs of the 405 billion-parameter variant might be prohibitive for small to medium enterprises, although cloud-based API solutions could mitigate this. The open nature of Llama 3.1 poses a competitive challenge to proprietary LLM providers, potentially driving down costs and fostering innovation across the AI industry.

Jul 22, 2024·Forbes Innovation AI

The article examines how the integration of artificial intelligence (AI) is transforming corporate leadership by enhancing decision-making, fostering innovation, and optimizing operations. It highlights examples from IBM, Google, and PepsiCo to show how AI tools like IBM's Watson are aiding leaders with data-driven insights and predictive analytics. While AI offers numerous benefits, such as improved strategic planning and real-time analysis, it also presents challenges, including potential over-reliance on technology, ethical concerns, and skills gaps. The article suggests that a balanced approach, emphasizing continuous learning, ethical use, and maintaining human-centric values, is essential for maximizing AI's potential in corporate leadership.

Jul 22, 2024·Fox News

A UCLA study revealed that artificial intelligence, specifically the Unfold AI software developed by Avenda Health, can detect prostate cancer with 84% accuracy, outperforming doctors who have a 67% detection rate. The AI software, which uses clinical data to create 3D cancer estimation maps, was found to have a significantly higher "negative margin rate," indicating a much lower chance of leaving residual cancer cells behind. This technological advancement, recently approved by the FDA, promises to improve the personalization and effectiveness of prostate cancer treatments, potentially reducing the need for invasive procedures and their associated side effects. However, experts caution that while AI can enhance diagnostic accuracy, it should complement, not replace, clinicians' judgment and patient data privacy must be maintained.

Jul 19, 2024·Healthcare IT News

This week in health technology, significant advancements in AI applications for healthcare were announced. Rural providers and Federally Qualified Health Centers are leveraging voice AI like Suki to significantly reduce administrative burden and documentation time. Mpathic received NIH funding to use NLP for improving cultural sensitivity in mental health services. Additionally, security-focused certifications were highlighted, with TruCare and 1upHealth achieving HITRUST certification, and symplr obtaining SOC 2 attestations. These developments showcase AI's expanding role in enhancing healthcare efficiency, accessibility, and security.

Jul 19, 2024·Proof News

An investigation by Proof News has revealed that several major AI companies, such as Apple, Nvidia, and Salesforce, have leveraged subtitles from 173,536 YouTube videos to train their AI models, despite YouTube’s rules against unauthorized data harvesting. This dataset, known as YouTube Subtitles, includes transcripts from educational channels like Khan Academy and Harvard, as well as popular shows and channels like MrBeast, Marques Brownlee, and PewDiePie. Creators were not notified or compensated for the use of their content, which has sparked concerns about consent and fair use within the creator community. AI companies argue that the data was publicly available and did not violate YouTube's terms directly. However, there are ongoing legal debates about the ethical implications and potential hazards of using such data without explicit permission from content creators. The case raises important questions about data use, copyright, and compensation in the age of AI.

Jul 18, 2024·Medscape Medical News

At the HLTH Europe 2024 conference, Google's chief health officer, Karen DeSalvo, outlined the company's healthcare strategy, emphasizing the use of generative AI to enhance digital platforms, partnerships, and disease prevention. DeSalvo highlighted that AI is a crucial tool among many, including equitable healthcare access and vaccinations. While acknowledging the rapid evolution of technology's role in medical advancements, she also stressed the importance of integrating diverse data sources to develop personalized and multifactorial healthcare pathways. Additionally, DeSalvo discussed the responsibilities associated with providing health information and the significance of accurate data dissemination, particularly in collaboration with entities like the WHO.

Jul 18, 2024·McKinsey and Company

In a recent episode of the At the Edge podcast, former Fortune CEO Alan Murray discusses the rapid rise and transformative potential of generative AI. Despite concerns such as data risk, intellectual property issues, hallucinations, and bias, Murray believes the benefits to both management and workers outweigh the drawbacks. He emphasizes that this technology requires human qualities like experience and judgment rather than technical skills and has the potential to reduce inequality in the workforce. However, the critical challenge lies not with the technology itself but in how organizations and individuals adapt to its fast-paced change.

Jul 18, 2024·oecd.ai

The increasing discussion around artificial intelligence (AI) often overlooks its significant water consumption, essential for onsite server cooling and electricity generation for data centers. Large AI models like GPT-3 require vast amounts of energy, leading to notable water consumption. AI's operational water footprint, comprising scope-1 onsite and scope-2 offsite water usage, along with scope-3 embodied water consumption, poses a challenge given the global water scarcity. Transparency regarding AI's water footprint is lacking compared to its carbon footprint, complicating efforts to address water sustainability. Monitoring and publicizing AI’s water usage can drive better resource management and equitable solutions to mitigate its environmental impact.

Jul 17, 2024·Fedscoop

The Department of Veterans Affairs (VA) has announced its intention to award sole-source contracts to Abridge AI, Inc. and Nuance Communications, Inc., for AI-enabled healthcare dictation tools. These tools will be used to transcribe and generate notes from patient healthcare encounters as part of the VA's AI Tech Sprint initiative. The contracts focus on implementing AI scribe pilots to enhance clinical workflows, particularly in specialty, mental health, and primary care settings. These pilots will integrate with the VA's electronic health record (EHR) modernization efforts, allowing for automatic note generation without manual patient data entry. The VA is also seeking feedback from other potential contractors.

Jul 17, 2024·Sequoia Capital

David Cahn’s article discusses the imminent boom in data center construction driven by AI, predicting 2025 as the "Year of the Data Center." The piece outlines several significant trends: an expected transformation in energy sectors through new solar, battery, and nuclear projects; potential operational challenges for hyperscalers; and the economic boon for industries like steel, energy, and construction. Major tech companies such as Amazon, Microsoft, Google, and Meta have committed massive investments into new data centers, though this will strain existing power grids and supply chains. As AI progresses from hype to industrial-scale implementation, both anticipated challenges and opportunities will shape the tech and energy landscapes.

Jul 16, 2024·NextBigFuture

OpenAI is reportedly working on a new project named “Strawberry,” designed to enhance the reasoning capabilities of its AI models. Based on the mysterious QStar advance, Strawberry aims to enable AI to perform long-horizon tasks (LHT), requiring it to plan and execute actions over extended periods. This initiative could significantly advance AI's ability to autonomously navigate the internet and conduct deep research. Although the specifics of Strawberry remain confidential within OpenAI, its goal is to elevate the intelligence of AI models closer to or beyond human-level capabilities by employing post-training techniques similar to the "Self-Taught Reasoner" method from Stanford.

Jul 16, 2024·Nature

EvolutionaryScale has introduced ESM3, a large protein language model, to design new fluorescent molecules, with applications potentially extending into drug development and sustainability. The company, founded by former Meta scientists, secured $142 million in funding to advance its work. ESM3 was trained on over 2.7 billion protein sequences and has demonstrated its capability by redesigning green fluorescent protein (GFP) variants. Although the model’s open-source version omits sensitive sequences, its extensive computational requirements place full replication beyond the reach of most academic labs. EvolutionaryScale aims to apply ESM3 to diverse scientific challenges, including plastic-eating enzymes and new protein-based drugs.