Researchers investigate the potential of ChatGPT in clinical radiology, highlighting its positive considerations, such as enhancing patient care and radiologist education, as well as negative concerns, like accuracy and transparency issues. The paper aims to initiate an engaging discussion on the use of AI-powered chatbots in this field.
SourceElsevier·JournalJournal of the American College of Radiology·TypeCommentary/editorial·DateMay 23, 2023
AI enhances drug discovery by analyzing abundant data, identifying new targets and designing effective treatments, significantly reducing cycle time and costs. AI also improves clinical trial design and post-market surveillance, leading to safer and more personalized medications.
SAMSUNG T9 Portable SSD 2TB
SAMSUNG T9 Portable SSD 2TB transfers large imagery and model outputs quickly between field laptops, lab workstations, and secure archives.
A new CAR T cell design approach using machine learning and artificial intelligence is being developed to improve cancer treatment. The project aims to create a hybrid knowledge- and data-driven approach to guide the design of immunotherapeutic cells.
Researchers used deep learning to analyze drone images of pine trees, detecting pine processionary moth larvae nests with high accuracy. The method can be applied in various settings to inform tree health managers about potential threats.
A new AI-enabled forecasting model can predict ENSO events for up to 22 months, overcoming the limitations of previous models. The Spatio-Temporal Information Extraction and Fusion (STIEF) model uses deep learning to extract space and time features and fuse them together, providing a more accurate prediction length.
SourceOcean-Land-Atmosphere Research (OLAR)·JournalOcean-Land-Atmosphere Research·TypeData/statistical analysis·DateMay 21, 2023
A deep learning-based Transformer model, Bloomformer-1, has been developed to identify the driving factors of algal growth in the Middle Route of the South-to-North Water Diversion Project. The results reveal that total phosphorus is the most significant factor affecting algal growth, especially in the Henan section, while total nitrog...
SourceKeAi Communications Co., Ltd.·JournalWater Biology and Security·TypeComputational simulation/modeling·DateMay 21, 2023
Garmin GPSMAP 67i with inReach
Garmin GPSMAP 67i with inReach provides rugged GNSS navigation, satellite messaging, and SOS for backcountry geology and climate field teams.
Researchers used machine learning to identify 'synthetic extreme' DNA sequences that are active in humans but not fruit flies. These rare sequences have potential practical applications in biotechnology and biomedical research.
SourceUniversity of California - San Diego·JournalGenes & Development·TypeComputational simulation/modeling·DateMay 18, 2023
A study found that a conversational artificial intelligence program can generate easy-to-understand, scientifically adequate answers to common patient questions about colonoscopy. The program outperformed human ratings in terms of scientific adequacy and satisfaction with the answers.
SourceMassachusetts General Hospital·JournalGastroenterology·DateMay 17, 2023
Researchers developed AI model QUADL that can create online assessment questions indistinguishable from human-written ones. Instructors found QUADL's questions as effective as those written by humans in assessing student learning objectives. The study suggests QUADL can be a useful tool for instructors and course developers.
SourceNorth Carolina State University·TypeExperimental study·DateMay 17, 2023
A new pilot study led by University of Illinois Chicago researchers found that an AI voice-based virtual coach improved depression and anxiety symptoms, as well as problem-solving skills, in patients. The Lumen app delivered a form of psychotherapy, resulting in changes in brain activity and reduced psychological distress.
SourceUniversity of Illinois Chicago·JournalTranslational Psychiatry·DateMay 17, 2023
Apple iPhone 17 Pro
Apple iPhone 17 Pro delivers top performance and advanced cameras for field documentation, data collection, and secure research communications.
Researchers propose a four-step process for guiding the use of ChatGPT in education, identifying desired outcomes, determining automation levels, ensuring ethical considerations, and evaluating effectiveness. The study finds that ChatGPT can improve teaching models, assessment systems, and student learning experiences.
SourceCactus Communications·JournalECNU Review of Education·TypeSystematic review·DateMay 17, 2023
Researchers found that individuals with high expectations of AI and brain-computer interfaces take greater risks despite no actual improvement. Expectations-based decision-making can lead to negative consequences, emphasizing the need for accurate evaluation and validation of new technologies.
SourceAalto University·JournalComputers in Human Behavior·DateMay 17, 2023
A new machine learning-based model predicts individual cardiac surgery patient mortality risk with improved performance over current population-derived models. The model uses electronic health records to provide personalized risk assessments, offering a significant advantage over existing benchmarks.
SourceThe Mount Sinai Hospital / Mount Sinai School of Medicine·JournalJournal of Thoracic and Cardiovascular Surgery·TypeData/statistical analysis·DateMay 17, 2023
The National Institutes of Health is enrolling 10,000 participants in a landmark precision nutrition study. The study aims to develop algorithms predicting how individuals respond to different foods and diets based on genetic, lifestyle, and environmental factors.
SourcePennington Biomedical Research Center·DateMay 16, 2023
Large language models like ChatGPT show incredible potential in radiology, but also struggle with reliability and accuracy. The latest model GPT-4 improves advanced reasoning capabilities and performs better on higher-order thinking questions.
SourceRadiological Society of North America·JournalRadiology·DateMay 16, 2023
Nikon Monarch 5 8x42 Binoculars
Nikon Monarch 5 8x42 Binoculars deliver bright, sharp views for wildlife surveys, eclipse chases, and quick star-field scans at dark sites.
A diagnostic study involving 16 radiologists and 2,054 images suggests that optimized AI strategy reduces diagnostic time-based costs without sacrificing accuracy for senior radiologists. Traditional all-AI strategy may still be more beneficial for junior radiologists.
SourceJAMA Network·JournalJAMA Network Open·DateMay 16, 2023
Researchers at the University of Waterloo have developed a robot system that uses artificial intelligence to track objects, including medication and glasses. This technology has shown high accuracy in locating everyday items, potentially improving the quality of life for individuals with dementia.
A new artificial intelligence algorithm, SSAFS, uses handcrafted image features for accurate plant disease detection and severity estimation. The algorithm outperforms existing state-of-the-art algorithms in identifying valuable disease-related features.
SourceNanjing Agricultural University The Academy of Science·JournalPlant Phenomics·TypeComputational simulation/modeling·DateMay 12, 2023
Sony Alpha a7 IV (Body Only)
Sony Alpha a7 IV (Body Only) delivers reliable low-light performance and rugged build for astrophotography, lab documentation, and field expeditions.
Researchers developed an AI-powered tool to identify and measure coral reef halos globally, providing a new method for monitoring ecosystem health. The tool enables efficient tracking of reef ecosystems' function at large scales, improving understanding and management of coral reefs.
SourceUniversity of Hawaii at Manoa·JournalRemote Sensing of Environment·TypeImaging analysis·DateMay 12, 2023
An AI developed at TU Wien has shown to suggest appropriate treatment steps in cases of blood poisoning, outperforming human decisions. The AI can examine time-varying patient conditions and calculate treatment strategies, increasing cure rates by up to 3%. However, legal aspects and liability need discussion.
SourceVienna University of Technology·JournalJournal of Clinical Medicine·DateMay 11, 2023
Researchers found that highly work-relevant personal information from an AI agent elicits greater empathy in users, while less or no disclosure leads to suppressed empathy. This study suggests self-disclosure could be used to improve people's acceptance of AI technologies.
SourcePLOS·JournalPLOS ONE·TypeExperimental study·DateMay 10, 2023
Researchers found that machine-learning models trained with descriptive data label rule violations more harshly than humans, leading to potential serious implications in the real world. This study highlights the need for careful consideration of data labeling and training methods to ensure fairness and accuracy in AI decision-making.
SourceMassachusetts Institute of Technology·JournalScience Advances·DateMay 10, 2023
The article highlights the risks of AI misuse, including its impact on democracy, job loss, and social division. Experts warn that self-improving AGI poses an existential threat to humanity, and call for regulation to minimize harm and maximize benefits.
SourceBMJ Group·JournalBMJ Global Health·TypeCommentary/editorial·DateMay 9, 2023
AmScope B120C-5M Compound Microscope
AmScope B120C-5M Compound Microscope supports teaching labs and QA checks with LED illumination, mechanical stage, and included 5MP camera.
Researchers used AI to study how the hippocampus produces varied replay types efficiently and their purpose. The model showed that sequences are prioritized stochastically according to familiarity and reward positions.
SourceRuhr-University Bochum·JournaleLife·TypeComputational simulation/modeling·DateMay 9, 2023
Researchers used large language models to generate open-ended answers, which were often more convincing than real responses. This approach may help gather data quickly and at low cost but also raises concerns about the authenticity of online user data.
A team of researchers developed an unsupervised entity alignment framework to improve knowledge graph search, avoiding human labor. The framework outperformed most competitors on precision and recall, scoring higher overall across multiple datasets.
SourceIntelligent Computing·JournalIntelligent Computing·TypeExperimental study·DateMay 9, 2023
A team of researchers has developed an AI tool called CRANK-MS that uses neural networks to analyze biomarkers in patients' bodily fluids and predict Parkinson's disease onset with an accuracy of up to 96%. The tool may help identify early warning signs for the disease, which can be challenging to diagnose.
SourceUniversity of New South Wales·JournalACS Central Science·TypeObservational study·DateMay 9, 2023
Researchers used AI tools to simplify a test for hepatitis C and SARS-CoV-2, achieving 97% accuracy for SARS-CoV-2 and 95% accuracy for the most prevalent version of hepatitis C. The team plans to refine the test, improve its ability to distinguish between strains, and potentially develop at-home tests in the future.
SourceUniversity of Florida·JournalCell Reports Medicine·DateMay 8, 2023
Anker Laptop Power Bank 25,000mAh (Triple 100W USB-C)
Anker Laptop Power Bank 25,000mAh (Triple 100W USB-C) keeps Macs, tablets, and meters powered during extended observing runs and remote surveys.
Researchers developed EmbryoNet, an automated image analysis software that uses AI to detect and classify developmental defects in fish embryos. The software outperforms human experts in terms of speed and accuracy, making it a valuable tool for investigating the mechanisms of drug action and studying embryonic development.
SourceUniversity of Konstanz·JournalNature Methods·DateMay 8, 2023
Researchers from Integrated Biosciences developed an AI platform to discover novel senolytic compounds, a class of molecules targeting age-related processes. The platform identified three highly selective and potent compounds with favorable medicinal chemistry properties.
SourceTen Bridge Communications·JournalNature Aging·TypeComputational simulation/modeling·DateMay 5, 2023
Researchers developed an online adaptive model for streaming anomaly detection that incorporates human-machine cooperation. The ISPForest method adjusts parameters and structures in real-time based on human feedback, leading to improved accuracy and reduced labor costs.
SourceHigher Education Press·JournalFrontiers of Computer Science·TypeExperimental study·DateMay 5, 2023
Creality K1 Max 3D Printer
Creality K1 Max 3D Printer rapidly prototypes brackets, adapters, and fixtures for instruments and classroom demonstrations at large build volume.
Researchers have developed a system that uses generative diffusion to create new proteins, advancing the field of generative biology. The system, called ProteinSGM, learns from image representations to generate fully new proteins, which are biophysically real and functional.
SourceUniversity of Toronto·JournalNature Computational Science·TypeComputational simulation/modeling·DateMay 4, 2023
A diagnostic study using 4,095 retinal fundus images found that biomarker-based AI algorithms can be susceptible to racial bias, even when trained on raw images. This issue highlights the need for careful evaluation of AI performance in diverse populations.
SourceJAMA Network·JournalJAMA Ophthalmology·DateMay 4, 2023
The National Science Foundation has awarded Columbia University a $20 million grant to establish the AI Institute for Artificial and Natural Intelligence (ARNI), an interdisciplinary center focused on connecting AI systems to brain research. ARNI will bring together top researchers from across the U.S. to advance neuroscience, cognitiv...
SourceColumbia University School of Engineering and Applied Science·DateMay 4, 2023
The UMD-led TRAILS institute will develop AI technologies that promote trust and mitigate risks through broader participation, new technology development, and informed governance. The institute aims to create AI systems that align with values and interests of diverse groups, leading to increased transparency, reliability, and accountab...
Meta Quest 3 512GB
Meta Quest 3 512GB enables immersive mission planning, terrain rehearsal, and interactive STEM demos with high-resolution mixed-reality experiences.
Researchers have developed a new method called EvoAug that uses artificial DNA sequences inspired by evolution to train deep neural networks for genome analysis. This approach enables the model to recognize regulatory motifs more accurately, leading to better performance and potential breakthroughs in understanding human health.
SourceCold Spring Harbor Laboratory·JournalGenome Biology·DateMay 4, 2023
Researchers identified three novel dual-purpose therapeutic targets using PandaOmics, which could treat both aging and glioblastoma multiforme. The target hypotheses include cyclic nucleotide gated channel subunit alpha 3 (CNGA3), glutamate dehydrogenase 1 (GLUD1) and sirtuin 1 (SIRT1).
SourceImpact Journals LLC·JournalAging-US·TypeComputational simulation/modeling·DateMay 2, 2023
A study published in Radiology found that AI-based decision support systems can impair radiologist accuracy on mammograms, particularly for less experienced radiologists. Even highly experienced radiologists were adversely impacted by the system's judgments, highlighting the need for safeguards to mitigate automation bias.
SourceRadiological Society of North America·JournalRadiology·DateMay 2, 2023
Researchers from Baidu Research have developed an AI algorithm, LinearDesign, that boosts COVID-19 mRNA vaccine antibody response by 128-fold. The algorithm takes a mere 11 minutes to generate the most stable mRNA sequence encoding Spike protein.
SourceBaidu Inc·JournalNature·TypeExperimental study·DateMay 2, 2023
Researchers found that using positive trigger words can retrain large language models and result in less biased responses. The team analyzed GPT-2's responses to user prompts about different countries worldwide and found a significant impact on the types of adjectives used to describe citizens.
Fluke 87V Industrial Digital Multimeter
Fluke 87V Industrial Digital Multimeter is a trusted meter for precise measurements during instrument integration, repairs, and field diagnostics.
Three high school students co-authored a paper using AI engine PandaOmics to discover new therapeutic targets for glioblastoma multiforme, a common and aggressive malignant brain tumor. The study identified three genes strongly correlated with both aging and glioblastoma as potential therapeutic targets.
SourceInSilico Medicine·JournalAging-US·TypeData/statistical analysis·DateMay 2, 2023
A study published in Radiology found that AI can analyze breast mass images from low-cost portable ultrasound machines and accurately identify cancer. The technology showed great promise for improving breast health care in low-resource settings, reducing delays in diagnosis and potentially saving lives.
SourceRadiological Society of North America·JournalRadiology·DateMay 2, 2023
Researchers at the University of Texas at Austin developed a semantic decoder that translates brain activity into text, allowing individuals with speech disabilities to communicate. The system has been trained on extensive hours of podcasts and can decode continuous language, capturing the gist of what is being said or thought.
SourceUniversity of Texas at Austin·JournalNature Neuroscience·TypeExperimental study·DateMay 1, 2023
GQ GMC-500Plus Geiger Counter
GQ GMC-500Plus Geiger Counter logs beta, gamma, and X-ray levels for environmental monitoring, training labs, and safety demonstrations.
The Connected Minds program aims to balance emerging tech's benefits and risks for humanity, with a focus on promoting equity and inclusivity. York University has received $82.8 million in federal funding through the Canada First Research Excellence Fund.
A new feature selection method for text categorization, Max-difference Maximization Criterion (MDMC), is proposed to select discriminant terms. MDMC combines a weight based on class information occupacity with ACC2 to estimate term importance, avoiding overestimation of sparse terms.
SourceHigher Education Press·JournalFrontiers of Computer Science·TypeExperimental study·DateApr 28, 2023
Researchers at Sainsbury Wellcome Centre found that instinctual exploratory runs enable mice to learn a map of the world efficiently. The study demonstrates how biological brains can learn faster and more efficiently than AI agents by focusing on salient objects.
SourceSainsbury Wellcome Centre·JournalNeuron·TypeExperimental study·DateApr 28, 2023
Apple Watch Series 11 (GPS, 46mm)
Apple Watch Series 11 (GPS, 46mm) tracks health metrics and safety alerts during long observing sessions, fieldwork, and remote expeditions.
A new MIT deep-learning system can analyze the internal structure and properties of materials based solely on their surface conditions. The technique uses vast amounts of simulated data to generate reliable predictions, offering a promising solution for engineers seeking non-invasive insights into material properties.
SourceMassachusetts Institute of Technology·JournalAdvanced Materials·DateApr 28, 2023
A study comparing physician and AI chatbot responses found chatbots excelled in both quality and empathy, while physicians were preferred for their nuanced understanding. The findings suggest that integrating chatbots into clinical settings could improve response quality and reduce clinician burnout.
SourceJAMA Network·JournalJAMA Internal Medicine·DateApr 28, 2023
A recent study assessed an AI chatbot's ability to answer ophthalmic questions, finding it answered approximately half correctly. The results suggest that while AI has medical advances, the current chatbot is not yet ready for substantial assistance in board certification preparation.
SourceJAMA Network·JournalJAMA Ophthalmology·DateApr 27, 2023
A team of IUPUI researchers has developed an AI-powered approach to classify insect species, tackling the challenge of discovering new species. The method uses deep hierarchical Bayesian learning to distinguish between known and unknown species, providing insight into their taxonomy and ecosystem impacts.
SourceIndiana University-Purdue University Indianapolis School of Science·JournalMethods in Ecology and Evolution·TypeComputational simulation/modeling·DateApr 27, 2023
Sky & Telescope Pocket Sky Atlas, 2nd Edition
Sky & Telescope Pocket Sky Atlas, 2nd Edition is a durable star atlas for planning sessions, identifying targets, and teaching celestial navigation.
A deep learning AI model has been developed to screen for retinopathy of prematurity (ROP) in infants at risk of blindness. The tool was trained on images of newborns and found to be as effective as senior paediatric ophthalmologists in discriminating normal retinal images from those with ROP that could lead to blindness.
SourceUniversity College London·JournalThe Lancet Digital Health·TypeComputational simulation/modeling·DateApr 27, 2023
A recent study published in Sleep Medicine warns that AI-collected data may lead to misdiagnosis of childhood sleep disorders. The lack of pediatric data used to train AI models results in biased classification, causing errors in sleep stage identification and potentially severe consequences for young patients.
SourceUniversity of Adelaide·JournalSleep Medicine·TypeMeta-analysis·DateApr 26, 2023
A study by Pohang University of Science & Technology (POSTECH) analyzed water pollution complaints in Alabama and found a significant decrease during the COVID-19 pandemic. The research team used AI methodologies to examine sentiment changes and correlations with climatic extremes.
SourcePohang University of Science & Technology (POSTECH)·Journalnpj Clean Water·DateApr 25, 2023
Researchers at Argonne National Laboratory have developed a self-driving laboratory called Polybot, which automates electronic polymer research and frees scientists' time to work on tasks only humans can accomplish. The tool combines AI and robotics to streamline experimental processes and accelerate discovery.
SourceDOE/Argonne National Laboratory·JournalChemistry of Materials·DateApr 25, 2023
CalDigit TS4 Thunderbolt 4 Dock
CalDigit TS4 Thunderbolt 4 Dock simplifies serious desks with 18 ports for high-speed storage, monitors, and instruments across Mac and PC setups.
A study found that high-quality labeling of images boosts perceptions of training data credibility, leading to increased trust in AI systems. However, biases in the data can reduce trust in certain aspects.
Researchers developed an AI-based early warning system that combines acoustic technology with artificial intelligence to classify earthquakes and determine potential tsunami risk. The system uses underwater microphones to measure acoustic radiation, which travels faster than tsunami waves and carries information about the tectonic event.
SourceAmerican Institute of Physics·JournalPhysics of Fluids·DateApr 25, 2023
Kamaljeet Sanghera has received funding to design a summer program for high school students to learn about AI development and its ethical impact. The pilot project will utilize IBM AI kits to provide hands-on experience and technical skills training.
A massive crowd-sourced study of 327 co-authors at 186 institutions from 14 countries found that ChatGPT scored 47.4% on accounting exam questions, while students averaged 76.7%. Despite struggles with short-answer and higher-order questions, ChatGPT showed promise in improving teaching and learning processes.
SourceBrigham Young University·JournalIssues in Accounting Education·TypeExperimental study·DateApr 20, 2023
A research team from Tokyo University of Agriculture and Technology has developed an image-based AI model to predict the deformation of a splashing drop. The trained encoder-decoder successfully generated image sequences that show the deformation of a drop during impact, demonstrating accurate predictions.
SourceTokyo University of Agriculture and Technology·JournalMachine Learning Science and Technology·DateApr 19, 2023
Sky-Watcher EQ6-R Pro Equatorial Mount
Sky-Watcher EQ6-R Pro Equatorial Mount provides precise tracking capacity for deep-sky imaging rigs during long astrophotography sessions.
A €10M Horizon Europe grant will support the development of a clinical decision support tool using artificial intelligence to select the best treatment for each individual patient with high blood pressure. The project aims to improve patient care and reduce avoidable consequences such as heart attacks, strokes, and kidney disease.