Skip to content Skip to sidebar Skip to footer
Only AI Stuff
Only AI Stuff

Technology and society

Close

Physicians face greater challenges in detecting illnesses when examining photos of darker skin types.

Artificial Intelligence, Computer science and technology, Ethics, Health care, Media Lab, Medicine, Research, School of Architecture and Planning, Social justice, Technology and society, UncategorizedMay 10, 202436Views0Likes0Comments
A recent study by researchers at the Massachusetts Institute of Technology (MIT) indicates that when diagnosing skin diseases based on images, doctors are less accurate when the patient has darker skin. The study involved over 1,000 dermatologists and general practitioners. The accuracy rate of dermatologists diagnosing correctly dropped from 38% on images of lighter skin…

Read More

Physicians encounter more challenges in identifying illnesses when examining images of individuals with darker skin tones.

Artificial Intelligence, Computer science and technology, Ethics, Health care, Media Lab, Medicine, Research, School of Architecture and Planning, Social justice, Technology and society, UncategorizedMay 9, 202439Views0Likes0Comments
Researchers from MIT have discovered that doctors underperform when diagnosing skin diseases in patients with darker skin based on image assessment. Their study included over a 1,000 dermatologists and general practitioners, revealing that dermatologists accurately identified diseases on images around 38% of the time, but their success rate dropped to 34% when it came to…

Read More

Doctors face greater challenges in identifying diseases while examining images of darker skin tones.

Artificial Intelligence, Computer science and technology, Ethics, Health care, Media Lab, Medicine, Research, School of Architecture and Planning, Social justice, Technology and society, UncategorizedMay 9, 202436Views0Likes0Comments
A study conducted by researchers at the Massachusetts Institute of Technology (MIT) found that doctors and dermatologists accomplish lower diagnostic accuracy rates when examining images of darker skin tones compared to lighter ones. Technologically-assisted diagnosis offered greater improvements when assessing lighter skin. More than 1,000 practitioners, including dermatologists and general practitioners, categorized an array of 364…

Read More

Physicians often encounter added challenges in diagnosing diseases while examining images of darker complexions.

Artificial Intelligence, Computer science and technology, Ethics, Health care, Media Lab, Medicine, Research, School of Architecture and Planning, Social justice, Technology and society, UncategorizedMay 8, 202441Views0Likes0Comments
A study conducted by MIT researchers has discovered that doctors have trouble accurately diagnosing skin diseases in people with darker skin based solely on images. The study consisted of more than 1,000 dermatologists and general practitioners and the results found that dermatologists accurately diagnosed about 38% of images examined. However, when considering those with darker…

Read More

Physicians often face greater challenges in diagnosing diseases when examining pictures of darker-toned skin.

Artificial Intelligence, Computer science and technology, Ethics, Health care, Media Lab, Medicine, Research, School of Architecture and Planning, Social justice, Technology and society, UncategorizedMay 8, 202433Views0Likes0Comments
A study from Massachusetts Institute of Technology (MIT) involving over 1,000 doctors, including dermatologists and general practitioners, revealed that accuracy of diagnosing skin diseases based on images is lower when the patient has darker skin. Dermatologists correctly identified 38% of the images they viewed, but this rate dropped to 34% when the images displayed darker…

Read More

Physicians often face challenges in identifying diseases through images of individuals with darker skin tones.

Artificial Intelligence, Computer science and technology, Ethics, Health care, Media Lab, Medicine, Research, School of Architecture and Planning, Social justice, Technology and society, UncategorizedMay 7, 202436Views0Likes0Comments
A study conducted by Massachusetts Institute of Technology (MIT) researchers has revealed that physicians are less adept at diagnosing skin diseases in patients with darker skin, solely based on image analysis. This disparity was revealed in a study that involved over 1,000 dermatologists and general practitioners. The accuracy of dermatologists in characterizing images of darker…

Read More

CEO of OpenAI Sam Altman and President Sally Kornbluth engage in a conversation about the potential trends in AI.

Artificial Intelligence, Business and management, Careers, Community, Ethics, History of science, Human-computer interaction, Innovation and Entrepreneurship (I&E), Invention, Labor and jobs, Machine learning, MIT Schwarzman College of Computing, MIT Sloan School of Management, President Sally Kornbluth, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Special events and guest speakers, Sustainability, Technology and society, UncategorizedMay 7, 202443Views0Likes0Comments

Read More

Faculty, instructors, and students at MIT engage in trials with generative AI in the field of education and learning.

academics, Artificial Intelligence, Classes and programs, Education, Electrical Engineering & Computer Science (eecs), Faculty, Human-computer interaction, Innovation and Entrepreneurship (I&E), Internet, K-12 education, Labor and jobs, Languages, Learning, Machine learning, MIT Schwarzman College of Computing, MIT Sloan School of Management, MITx, Office of Open Learning, Online learning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Special events and guest speakers, Staff, Students, teaching, Technology and society, Uncategorized, Vice ChancellorApril 30, 202447Views0Likes0Comments
During the Festival of Learning 2024 at MIT, discussions were held on leveraging generative AI to enhance learning experiences for students both on and off campus. The panelists, comprising MIT faculty, instructors, staff, and students, emphasized that generative AI should be used to enrich, not replace, the educational experience. They highlighted the ongoing experimentation with…

Read More

Generative AI is being experimented with in teaching and learning by students, faculty, and instructors at MIT.

academics, Artificial Intelligence, Classes and programs, Education, Electrical Engineering & Computer Science (eecs), Faculty, Human-computer interaction, Innovation and Entrepreneurship (I&E), Internet, K-12 education, Labor and jobs, Languages, Learning, Machine learning, MIT Schwarzman College of Computing, MIT Sloan School of Management, MITx, Office of Open Learning, Online learning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Special events and guest speakers, Staff, Students, teaching, Technology and society, Uncategorized, Vice ChancellorApril 30, 202441Views0Likes0Comments
In the MIT Festival of Learning 2024, faculty, students, staff, and alumni explored the role of generative AI in learning and teaching. Some believe that this technology is an essential tool to prepare students for the future of work. Generative AI can be used to support learning experiences, where the student can take ownership. For…

Read More

MIT’s computing is at a crucial juncture.

academics, Administration, Aeronautical and astronautical engineering, Artificial Intelligence, Boston and region, Brain and cognitive sciences, Cambridge, Campus buildings and architecture, Chemical engineering, Community, Comparative Media Studies/Writing, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, EAPS, Education, Electrical Engineering & Computer Science (eecs), Facilities, Laboratory for Information and Decision Systems (LIDS), Machine learning, MIT Schwarzman College of Computing, MIT Sloan School of Management, MIT-IBM Watson AI Lab, Music and theater arts, Nuclear science and engineering, Political science, Quest for Intelligence, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, teaching, Technology and society, Uncategorized, Urban studies and planningApril 12, 202441Views0Likes0Comments
MIT’s Stephen A. Schwarzman College of Computing has opened its new headquarters in Building 45, creating a hub for computing on campus. The building is considered a physical manifestation of the college's mission to fortify core computer science and AI, integrate computing throughout MIT, and advance the social, ethical and policy considerations of the discipline. MIT…

Read More

+60 12-462 2768
hello@goacademyai.com