Results 81 to 90 of about 2,551,510 (311)

Social media–driven machine learning approach to identify emotional support needs in cancer care

Journal of Electrical Systems and Information Technology
Early detection of emotional imbalance in cancer patients is essential for delivering timely and appropriate supportive care for such people. Cancer presents not only a severe physical challenge but also a profound emotional burden for patients and ...
Amany M. Sarhan, Hesham A. Ali, Ahmed A. Kandil, Mohamed Gobara, Shady Yasser, Ghada Sherif, Esraa Moustafa   +6 more
doaj   +1 more source

Comparative assessment of crystallographic and cryo‐EM models in the Protein Data Bank

FEBS Open Bio, EarlyView.
Raw data obtained by X‐ray crystallography or cryo‐EM result in experimental maps, ultimately fitted by atomic models. Although the physical principles are different, the final results can be viewed, compared, and evaluated in the same way. With cryogenic electron microscopy (cryo‐EM) on track to surpass X‐ray crystallography as the preferred method ...
Alexander Wlodawer, Pawel Rubach, Zbigniew Dauter, Wojciech Dec, Dariusz Brzezinski, Marta Kulik, Wladek Minor, Mariusz Jaskolski   +7 more
wiley   +1 more source

Enhanced teaching team evaluation system for vocational colleges

Scientific Reports
Constructing an evaluation system for teaching teams is very important to promote the reform of teaching evaluation in higher vocational colleges. However, there is no existing artificial intelligence−based evaluation system for teaching teams that can ...
Qiming Tian, Wanle Chi, Dafeng Gong, Yuwen Shi, Lili Shi, Huiling Chen, Sudan Yu   +6 more
doaj   +1 more source

Evaluating GenAI‐produced feedback on undergraduate bioscience essays against good higher education feedback practice

FEBS Open Bio, EarlyView.
This pilot study investigates the potential of Generative AI to provide formative feedback to students. ChatGPT was prompted to provide feedback on Year 1 Bioscience essays, which were evaluated against established good feedback practices. GenAI‐authored feedback had useful elements, but was limited in scope. GenAI may have potential to provide instant,
Annabel Court, Nigel Francis, Andrew Shore, Stephen Rutherford   +3 more
wiley   +1 more source

Disability classification using machine learning on functional assessment data

Discover Artificial Intelligence
The World Health Organization (WHO) estimates that over 1.3 billion people globally experience significant disabilities, a figure projected to exceed two billion by 2050.
Mohamed Abouelezz, Khaled M.Fouad, Ibrahim Abdelbaky   +2 more
doaj   +1 more source

Implementation of machine learning algorithms to create diabetic patient re-admission profiles

BMC Medical Informatics and Decision Making, 2019
Background Machine learning is a branch of Artificial Intelligence that is concerned with the design and development of algorithms, and it enables today’s computers to have the property of learning.
Mohamed Alloghani, Ahmed Aljaaf, Abir Hussain, Thar Baker, Jamila Mustafina, Dhiya Al-Jumeily, Mohammed Khalaf   +6 more
doaj   +1 more source

Risk Prediction Models for Recurrence After Curative Treatment of Early‐Stage or Locally Advanced Lung Cancer: A Systematic Review

Aging and Cancer, EarlyView.
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel, S. Tissera, E. Paul, J. Zalcberg, R. G. Stirling   +4 more
wiley   +1 more source

Embedding textile capacitive sensing into smart wearables as a versatile solution for human motion capturing

Scientific Reports
This work presents a novel and versatile approach to employ textile capacitive sensing as an effective solution for capturing human body movement through fashionable and everyday-life garments.
Daniel Geißler, Bo Zhou, Hymalai Bello, Joanna Sorysz, Lala Ray, Hamraz Javaheri, Matthias Rüb, Jan Herbst, Esther Zahn, Emil Woop, Sizhen Bian, Hans D. Schotten, Gesche Joost, Paul Lukowicz   +13 more
doaj   +1 more source

Foundation Models Meet Medical Image Interpretation

Research
Facing challenges such as limited annotated data and insufficient model generalization in medical deep learning, foundation models (FMs) are reshaping the paradigm of medical image interpretation through large-scale pretraining and efficient fine-tuning.
Licheng Jiao, Jiayao Hao, Ruiyang Li, Lingling Li, Xu Liu, Fang Liu, Wenping Ma, Puhua Chen, Zhongjian Huang, Jingyi Yang, Jiaxuan Zhao, Qigong Sun   +11 more
doaj   +1 more source

Charter of the Select Committee on Artificial Intelligence

, 2021
This report details the creation of the Select Committee on Artificial Intelligence, chartered by action of the National Science and Technology Council (NSTC).
Select Committee on Artificial Intelligence
core