Background: Artificial intelligence (AI) has the potential to transform medical diagnostics by enhancing the accuracy and efficiency of diagnostic processes. Its application in clinical practice can greatly support me...Background: Artificial intelligence (AI) has the potential to transform medical diagnostics by enhancing the accuracy and efficiency of diagnostic processes. Its application in clinical practice can greatly support medical professionals by offering improved tools for faster and more precise diagnoses. Understanding AI’s capabilities is essential for its successful integration into medical diagnostics. In this context, evaluating the performance of different AI models in the diagnostic process becomes particularly important. The objective of this study is to qualitatively evaluate the diagnostic performance of three AI models—ChatGPT-4o, CodyMD, and Dr. Gupta—based on patient-reported symptoms. Objectives: The aim of the study is to compare the three AI models in terms of diagnostic accuracy, the level of detail in the provided information, the interaction between the models and patients, and the number of differential diagnoses offered. Results: ChatGPT-4o achieved the highest accuracy, correctly diagnosing 90% of the cases. The model provides basic information and focuses on a single most likely diagnosis. CodyMD and Dr. Gupta achieved 50% accuracy, with CodyMD using an interactive approach and offering differential diagnoses with probability percentages for each. Dr. Gupta provided educational medical information and differential diagnoses without probability estimates. Conclusions: The AI models assessed can assist medical professionals in the diagnostic process, but they require further refinement and optimization. ChatGPT-4o stands out for its high accuracy, though increased patient interaction is needed. CodyMD excels in offering an interactive approach and more detailed responses, but requires improved accuracy. Dr. Gupta provided differential diagnoses, but the information provided is suitable for educational purposes. While these models show potential for clinical use, further research is needed to optimize and validate them in real-world settings.展开更多
The phase boundary theory and the contact rule of phase regions are compared, and some weaknesses of the latter are manifested. The comparison between the Gupta’s method and the boundary theory method for constructin...The phase boundary theory and the contact rule of phase regions are compared, and some weaknesses of the latter are manifested. The comparison between the Gupta’s method and the boundary theory method for constructing multicomponent isobaric sections is also presented.展开更多
As a serial entrepreneur,investor and technology strategist,Manav Gupta has spent his career solving challenges using technology–and has a proven track record.Gupta and his team at venture accelerator firm Brinc offe...As a serial entrepreneur,investor and technology strategist,Manav Gupta has spent his career solving challenges using technology–and has a proven track record.Gupta and his team at venture accelerator firm Brinc offer funding and assistance to startups ready to make an impact in China and around the world.Below,he shares with us how his firm has adapted to the COVID-19 pandemic,their fascinating accelerator programs and his thoughts on China’s entrepreneurial community.展开更多
As a serial entrepreneur,investor and technology strategist,Manav Gupta has spent his career solving challenges using technology-and has a proven track record.Gupta and his team at venture accelerator firm Brine offer...As a serial entrepreneur,investor and technology strategist,Manav Gupta has spent his career solving challenges using technology-and has a proven track record.Gupta and his team at venture accelerator firm Brine offer funding and assistance to startups ready to make an impact in China and around the world.Below,he shares with us how his firm has adapted to the COVID-19 pandemic,their fascinating accelerator programs and his thoughts on China's entrepreneurial community.展开更多
Highlights The water use efficiency of the drought-resistant variety MT3 was found to be correlated with stomatal density.EPFs enhance water use efficiency and drought tolerance by regulating stomatal density in foxta...Highlights The water use efficiency of the drought-resistant variety MT3 was found to be correlated with stomatal density.EPFs enhance water use efficiency and drought tolerance by regulating stomatal density in foxtail millet.Drought(D)causedbyglobalwarmingisseverely affecting crop growth and agricultural production (Gupta etal. 2020).Stomata provide an important window for photosynthesis and water transpiration, and stomatal densityiscloselyrelatedtothedroughtresponse(Herrmann and Torii 2021).Foxtail millet (Setaria italica)isan important drought tolerant crop that plays an important role in ensuring food and nutritional security(Muthamilarasan and Prasad 2017).Unlike in other crops, the drought-resistance mechanism of foxtail millet is not fully understood, with only SiDPY1, SiYTH1, and SiMYBS3 currently identified and characterized (Liu et al.2023;Luo et al. 2023;Zhao et al. 2023).Therefore, the drought resistance mechanism remains unclear.展开更多
文摘Background: Artificial intelligence (AI) has the potential to transform medical diagnostics by enhancing the accuracy and efficiency of diagnostic processes. Its application in clinical practice can greatly support medical professionals by offering improved tools for faster and more precise diagnoses. Understanding AI’s capabilities is essential for its successful integration into medical diagnostics. In this context, evaluating the performance of different AI models in the diagnostic process becomes particularly important. The objective of this study is to qualitatively evaluate the diagnostic performance of three AI models—ChatGPT-4o, CodyMD, and Dr. Gupta—based on patient-reported symptoms. Objectives: The aim of the study is to compare the three AI models in terms of diagnostic accuracy, the level of detail in the provided information, the interaction between the models and patients, and the number of differential diagnoses offered. Results: ChatGPT-4o achieved the highest accuracy, correctly diagnosing 90% of the cases. The model provides basic information and focuses on a single most likely diagnosis. CodyMD and Dr. Gupta achieved 50% accuracy, with CodyMD using an interactive approach and offering differential diagnoses with probability percentages for each. Dr. Gupta provided educational medical information and differential diagnoses without probability estimates. Conclusions: The AI models assessed can assist medical professionals in the diagnostic process, but they require further refinement and optimization. ChatGPT-4o stands out for its high accuracy, though increased patient interaction is needed. CodyMD excels in offering an interactive approach and more detailed responses, but requires improved accuracy. Dr. Gupta provided differential diagnoses, but the information provided is suitable for educational purposes. While these models show potential for clinical use, further research is needed to optimize and validate them in real-world settings.
文摘The phase boundary theory and the contact rule of phase regions are compared, and some weaknesses of the latter are manifested. The comparison between the Gupta’s method and the boundary theory method for constructing multicomponent isobaric sections is also presented.
文摘As a serial entrepreneur,investor and technology strategist,Manav Gupta has spent his career solving challenges using technology–and has a proven track record.Gupta and his team at venture accelerator firm Brinc offer funding and assistance to startups ready to make an impact in China and around the world.Below,he shares with us how his firm has adapted to the COVID-19 pandemic,their fascinating accelerator programs and his thoughts on China’s entrepreneurial community.
文摘As a serial entrepreneur,investor and technology strategist,Manav Gupta has spent his career solving challenges using technology-and has a proven track record.Gupta and his team at venture accelerator firm Brine offer funding and assistance to startups ready to make an impact in China and around the world.Below,he shares with us how his firm has adapted to the COVID-19 pandemic,their fascinating accelerator programs and his thoughts on China's entrepreneurial community.
基金supported by the Scientific and Technological Innovation Talents Team of Shanxi Project,China(202204051002036 for Xiangyang Yuan)the High-level Talents Start-up Fund of Shanxi Agricultural University,China(J242198006 for Jiagang Wang)the National Natural Science Foundation of China(32200222 for Jiagang Wang)。
文摘Highlights The water use efficiency of the drought-resistant variety MT3 was found to be correlated with stomatal density.EPFs enhance water use efficiency and drought tolerance by regulating stomatal density in foxtail millet.Drought(D)causedbyglobalwarmingisseverely affecting crop growth and agricultural production (Gupta etal. 2020).Stomata provide an important window for photosynthesis and water transpiration, and stomatal densityiscloselyrelatedtothedroughtresponse(Herrmann and Torii 2021).Foxtail millet (Setaria italica)isan important drought tolerant crop that plays an important role in ensuring food and nutritional security(Muthamilarasan and Prasad 2017).Unlike in other crops, the drought-resistance mechanism of foxtail millet is not fully understood, with only SiDPY1, SiYTH1, and SiMYBS3 currently identified and characterized (Liu et al.2023;Luo et al. 2023;Zhao et al. 2023).Therefore, the drought resistance mechanism remains unclear.
