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Studies Show AI Chatbots Provide Inconsistent Accuracy for Musculoskeletal Health Information
With the growing popularity of large language model (LLM) chatbots, a type of artificial intelligence (AI) used by ChatGPT, Google Bard and BingAI, it is important to outline the accuracy of musculoskeletal health information they provide. Three new studies presented at the 2024 Annual Meeting of the American Academy of Orthopaedic Surgeons (AAOS) analyzed the validity of the information chatbots gave to patients for certain orthopaedic procedures, assessing the accuracy of how chatbots present research advancements and clinical decision making.
While the studies found that certain chatbots provide concise summaries across a wide spectrum of orthopaedic conditions, each demonstrated limited accuracy depending on the category. Researchers agree that orthopaedic surgeons remain the most reliable source of information. The findings will help those in the field understand the efficacy of these AI tools, if the use by patients or non-specialist colleagues could introduce bias or misconceptions and how future enhancements can make chatbots a potentially valuable tool for patients and physicians in the future.
STUDY OVERVIEWS AND OUTCOMESPotential misinformation and dangers associated with clinical use of LLM chatbotsThis study, led by Branden Sosa, a fourth-year medical student at Weill Cornell Medicine, assessed the accuracy of Open AI ChatGPT 4.0, Google Bard and BingAI chatbots to explain basic orthopaedic concepts, integrate clinical information and address patient queries. Each chatbot was prompted to answer 45 orthopaedic-related questions spanning categories of “Bone Physiology,” “Referring Physician,” and “Patient Query” and then assessed for accuracy. Two independent, blinded reviewers scored responses on a scale of 0-4, assessing accuracy, completeness and useability. Responses were analyzed for strengths and limitations within categories and across chatbots. The research team found the following trends:
When prompted with orthopedic questions, OpenAI ChatGPT, Google Bard and BingAI provided correct answers that covered the most critical salient points in 76.7%, 33% and 16.7% of queries, respectively.
When providing clinical management suggestions, all chatbots displayed significant limitations by deviating from the standard of care and omitting critical steps in workup such as ordering antibiotics before cultures or neglecting to include key studies in diagnostic workup.
When asked less complex patient queries, ChatGPT and Google Bard were able to provide mostly accurate responses but often failed to elicit critical medical history pertinent to fully address the query.
A careful analysis of citations provided by chatbots revealed an oversampling of a small number of references and 10 faulty links that were nonfunctional or led to incorrect articles.
Is ChatGPT ready for prime time? Assessing the accuracy of AI in answering common arthroplasty patient questionsResearchers, led by Jenna A. Bernstein, MD, orthopaedic surgeon at Connecticut Orthopaedics, sought to investigate how accurately ChatGPT 4.0 answered patient questions by developing a list of 80 commonly asked patient questions about knee and hip replacements. Each question was queried two times in ChatGPT; first asking the questions as written, and then prompting the ChatGPT to answer the patient questions “as an orthopaedic surgeon.” Each surgeon on the team evaluated the accuracy of each set of answers and rated these on a scale of one to four. Agreement was assessed between the two surgeons’ evaluation of each set of ChatGPT answers. The association between the question prompt and response accuracy were both assessed using two means of statistical analysis (Cohen’s kappa and Wilcoxon signed-rank test, respectively). The findings included:
When assessing the quality of the ChatGPT responses, 26% (21 of 80 responses) had an average scale of three (partially accurate, but incomplete) or less when asked without a prompt, and 8% (six of 80 responses) had an average grade of less than three when preceded by a prompt. As such, researchers summarized that ChatGPT is still not an adequate resource to answer patient questions and further work to develop an accurate orthopaedic-focused chatbot is needed.
ChatGPT performed substantially better when appropriately prompted to answer patient questions “as an orthopaedic surgeon” with 92% accuracy.
Can ChatGPT 4.0 be used to answer patient questions concerning the Latarjet procedure for anterior shoulder instability?Researchers at the Hospital for Special Surgery in New York, led by Kyle Kunze, MD, assessed the propensity for ChatGPT 4.0 to provide medical information about the Latarjet procedure for patients with anterior shoulder instability. The overall goal of this study was to understand whether this chatbot could demonstrate potential to serve as a clinical adjunct and help both patients and providers through providing accurate medical information.
To answer this question, the team first conducted a Google search using the query “Latarjet” to extract the top ten frequently asked questions (FAQs) and associated sources concerning the procedure. They then asked ChatGPT to perform the same search for FAQs to identify the questions and sources provided by the chatbot. Highlights of the findings included:
ChatGPT demonstrated the ability to provide a broad range of clinically relevant questions and answers and derived information from academic sources 100% of the time. This is in opposition to Google, which included a small percentage of academic resources, combined with information found on surgeons’ personal websites and larger medical practices.
The most common question category for both ChatGPT and Google was technical details (40%); however, ChatGPT also presented information concerning risks/complications (30%), recovery timeline (20%) and evaluation of surgery (10%).
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The Rise of AI Drives 9 Fold Surge in Liquid Cooling Technology
AI servers, driven by Nvidia’s GB200 superchip, have experienced significant growth. The cutting-edge B200 chip, due to its high thermal design power, requires direct-to-chip cooling. Supermicro announced that it had shipped over 2000 direct-liquid-cooled AI server racks by the end of August 2024, and it has expanded its manufacturing capacity to 5000 racks per month. Supermicro reported that it has around 75% of the liquid-cooled AI server rack market, and IDTechEx believes that this production capacity expansion will lead to a surge in liquid-cooled server racks, as well as the number of cold plates. The projections for the number of cold plates for AI servers in IDTechEx’s new report, “Thermal Management for Data Centers 2025-2035: Technologies, Markets, and Opportunities”, align with Supermicro’s latest announcement.
IDTechEx believes that this production capacity expansion is expected to drive a rapid increase in the deployment of liquid-cooled racks across the AI and high-performance computing (HPC) sectors, along with a notable rise in the use of cold plates. Cold plates are integral to direct-liquid-cooling systems, as they are responsible for absorbing and dissipating the significant heat generated by high-performance chips like Nvidia’s B200. IDTechEx’s recent research into thermal management for data centers echoes Supermicro’s projections, highlighting the increasing importance of liquid cooling technologies in managing the heat loads associated with next-generation AI and HPC hardware.
Direct-to-chip (D2C) cooling, also known as cold plate cooling, is a sophisticated cooling method wherein a cold plate is mounted directly onto the chip (GPU or CPU). The plate facilitates the transfer of heat from the chip to a circulating coolant, which then dissipates the heat. D2C cooling can be divided into two main categories: single-phase and two-phase systems, depending on the type of coolant used. Single-phase D2C typically uses a water-glycol mixture, which circulates through the system and transfers heat away from the chip via convection. This type of cooling is efficient for systems with moderate TDPs, as the coolant remains in a liquid state throughout the process. In contrast, two-phase D2C cooling uses a coolant like fluorinated refrigerant, which absorbs heat through a phase change. As the coolant transitions from liquid to gas, it provides significantly greater cooling power, making it well-suited for systems with extremely high TDPs.
The rapid increase in chip TDPs is driving the demand for more advanced cooling solutions. AI and HPC applications, in particular, are pushing the limits of current cooling technologies, as these workloads require chips with significantly higher power consumption to handle complex computations. Nvidia’s GPU roadmap, combined with Intel’s recent announcement of its Falcon Shores GPU – expected to have a TDP of 1,500W – suggests that GPUs and CPUs with TDPs exceeding 1,500W likely become common within the next one to two years. IDTechEx predicts that this ongoing rise in TDP will eventually lead to a shift from single-phase to two-phase D2C cooling systems, as the latter offers superior heat dissipation capabilities required for these high-power chips despite the unclear timeline.
In addition to direct-to-chip cooling, immersion cooling has garnered significant attention as an alternative solution for high-performance systems. Similar to D2C, immersion cooling can be split into two categories: single-phase immersion cooling (1-PIC) and two-phase immersion cooling (2-PIC). However, unlike D2C, immersion cooling involves submerging the entire server into a bath of coolant, which absorbs heat directly from all components. This method is highly effective for cooling densely packed systems with high power requirements, as it eliminates the need for air-based cooling entirely. In single-phase immersion cooling, the coolant remains in a liquid state, similar to single-phase D2C. Two-phase immersion, however, leverages a phase change in the coolant, similar to two-phase D2C, to provide even more efficient heat dissipation.
While immersion cooling offers numerous advantages in terms of thermal efficiency, it comes with several challenges. The process of submerging servers requires extensive retrofitting of existing infrastructure, as well as rigorous material compatibility tests to ensure that the components can withstand prolonged exposure to the coolant. This results in higher upfront costs compared to D2C cooling systems. Additionally, immersion cooling systems, especially two-phase variants, face regulatory challenges. For example, 3M’s Novec products, commonly used as two-phase coolants, are set to be discontinued by the end of 2025. As of now, no PFAS-free or “forever chemical”-free two-phase coolants have been officially announced, adding another layer of complexity for companies considering immersion cooling solutions.
Cooling in data centers occurs at various levels, ranging from chip-level to facility-level cooling. Each level requires different cooling strategies, with technologies like D2C and immersion cooling primarily focusing on chip, server, and rack-level thermal management. At the room and facility levels, air-based cooling remains the most common approach in 2024. Computer room air conditioning (CRAC) units and computer room air handling (CRAH) units are widely used to cool entire server rooms or data center floors. However, the growing heat loads generated by high-performance AI and HPC systems are pushing the limits of air cooling, prompting the adoption of more efficient liquid-based solutions.
One such solution is liquid-to-liquid (L2L) cooling, which is becoming increasingly popular for facility-level heat management. In L2L cooling, a cooling distribution unit (CDU) transfers heat from one liquid loop to another, enhancing heat exchange efficiency. This system is particularly effective for data centers dealing with higher heat loads from AI and HPC workloads. Supermicro’s CEO has predicted that liquid-cooled data centers, which currently represent around 1% of the market, will grow to 30% by 2026. IDTechEx shares this optimistic outlook, noting that while L2L cooling is gaining traction, its widespread adoption will likely be concentrated in newly constructed data centers due to the significant retrofitting required for existing facilities. However, many existing data centers, particularly those using CRAH units, already have facility water systems in place, which can be leveraged for L2L cooling retrofits. These existing water systems are often the starting point for upgrading older data centers to accommodate more advanced liquid cooling technologies.
In conclusion, the rapid rise of AI and HPC applications is driving a fundamental shift in data center cooling strategies. As chips like Nvidia’s B200 and Intel’s Falcon Shores GPU push the limits of thermal design power, direct-to-chip and immersion cooling solutions are becoming critical to managing the heat loads in modern data centers. This unprecedented transition brings significant opportunities to players in the data center cooling value chain, including but not limited to coolant suppliers, server makers, system integrators, cold plate manufacturers, materials suppliers, and cooling equipment (e.g., HVAC) suppliers. More details about the opportunities can be found in IDTechEx’s latest research report, “Thermal Management for Data Centers 2025-2035: Technologies, Markets, and Opportunities”.
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OTM recognised as the ‘Leading Travel Trade Show in India and Asia’, in a customised study by NielsenIQ commissioned by Fairfest Media
OTM Mumbai has been named the #1 travel trade show in India and Asia in a customised market research study commissioned by Fairfest Media Limited which was conducted by NielsenIQ – the world’s leading consumer intelligence company. The customised research, conducted among participants and visitors who have attended two or more travel trade shows in the region, found a ‘significantly higher quantum of respondents stating OTM (Mumbai) to be the leading show at a National, Regional and Asia level’ — outperforming other major shows in the region, including ITB Asia, ITB India and SATTE Delhi.
The comprehensive survey evaluated 18 international travel trade shows across Asia and 20 regional shows in India. In addition to identifying the leading travel trade show, the survey highlighted key findings related to exhibitors’ and visitors’ overall experience, satisfaction, and willingness to attend again.
Key Survey Findings:
OTM as the Top Trade Show in India: 59% of respondents across India selected OTM as their preferred trade show, a significantly higher percentage than any other event in the country.
Leadership in Asia: In the broader Asia-wide context, OTM secured 42% of the vote, significantly higher than other events in Asia, further reinforcing its position as a market leader.
Exhibitor and Visitor Satisfaction: OTM outperformed its competitors in terms of satisfaction with the quality of exhibits and the profile of visitors.
Venue Quality: OTM garnered ‘significantly higher satisfaction regarding the quality of the venue across all competition on Top Box Satisfaction,’ says the customised study conducted by NielsenIQ & commissioned by Fairfest Media.
The survey extensively covered several granular aspects of satisfaction, including the quality of exhibits, the profile of visitors, the relevance of speakers and conference sessions, and the quality of venue and other services. A copy of the report submitted to Fairfest Media by NielsenIQ is available here. (link)
The fieldwork by NielsenIQ is done in an unbiased manner without intervention from Fairfest Media Limited and quality control procedures were followed strictly. The date of the fieldwork is 2nd Aug to 4th Sept 2024. The areas covered in the customised study (conducted by NielsenIQ & commissioned by Fairfest Media) include India, Vietnam, Bangladesh, Singapore, Sri Lanka, Nepal, United Kingdom, Kenya, Bahrain, Thailand, Maldives, Rwanda, Greece, Malaysia, Seoul, Philippines, Ethiopia, Nigeria and South Africa. The population covered includes exhibitors and visitors of travel trade shows. The sample size was overall (N=312); exhibitors (N=23), visitors (N=289). The total usable database of visitors shared with NielsenIQ was over 14,000 and of exhibitors was over 2,200. The sampling method was online, purposive sampling.
These findings confirm that OTM consistently delivers high-quality buyers and offers the highest return on investment (ROI) for participants. The survey results reinforce OTM’s status as the leading B2B show in Asia for travel industry professionals.The next edition of OTM, from 30 January to 1 February 2025, at the Jio World Convention Centre in Mumbai, is expected to be the largest ever, further strengthening its substantial lead in both the country and the region, according to the organisers. It will bring together over 40,000 travel industry professionals from over 60 countries, with pre-qualified buyers from India, Asia and beyond.
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2024 WIC Wuzhen Summit set for November
The 2024 World Internet Conference (WIC) Wuzhen Summit, themed “Embracing a People-Centered and AI-for-Good Digital Future – Building a Community with a Shared Future in Cyberspace,” will take place from Nov 19 to 22 in Wuzhen, East China’s Zhejiang province, as announced by the WIC on Sept 30. A representative from the WIC secretariat stated on Sept 30 that the upcoming 2024 WIC Wuzhen Summit will focus on artificial intelligence, bringing new ideas and highlights to capture global attention.
This year, the WIC will introduce the WIC Distinguished Contribution Award, establish the WIC Specialized Committee on Artificial Intelligence (SC on AI), initiate the WIC Think Thank Cooperation Program, launch the WIC Digital Academy and feature the WIC Global Elite Training at the 2024 summit.
The summit will include 24 sub-forums, with discussions focusing on digital cooperation under the Global Development Initiative, digital and green development, digital economy, open-source, data governance, rule of law in cyberspace, cultural exchange, digital education, youth and digital future, AI innovation and governance, cybersecurity, and international collaboration.
The signature events of the summit are progressing smoothly. Preparations are well underway for the release of “Outstanding Cases of Jointly Building a Community with a Shared Future in Cyberspace” and the award ceremony of the World Internet Conference Awards for Pioneering Science and Technology. Meanwhile, the “Light of Internet” Expo continues to accept exhibitors, and the “Straight to Wuzhen” Competition is gearing up for its finals. Additionally, the second cohort of young leaders selected for the 2024 Global Youth Leadership Program will be invited to the 2024 WIC Wuzhen Summit, where they will contribute their voices on internet development and governance from a youth perspective.
The WIC, headquartered in Beijing, China, is committed to build a global Internet platform for extensive consultation, joint contribution and shared benefits, promote the international community to follow the trend of digitization, networking and intelligence in the information age, work together to address security challenges for common development, and build a community with a shared future in cyberspace.
Since 2014, the WIC Wuzhen Summit has been successfully held for 10 consecutive years, attracting thousands of representatives from government agencies, international organizations, leading internet companies, industry associations, and academic institutions from around the world to exchange ideas and build consensus annually.
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