Emotion Recognition from Speech Signals by Mel-Spectrogram and a CNN-RNN.
Recent research highlights the use of Mel-spectrograms and neural networks for effective emotion recognition in speech. 📊🗣️
March 6, 2025
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Discover the newest research about AI innovations in 🧠 Mental Health.
Concerns Over AI Use in Healthcare: Trust Issues Among Adults
Study reveals 65.8% of adults lack trust in healthcare’s use of AI. Communication and engagement are essential for improvement. 🤖💔
February 25, 2025
A Deep Learning Approach for Mental Fatigue State Assessment.
This study explores deep learning for assessing mental fatigue in sports, achieving 95.29% accuracy. 🧠⚽️
February 25, 2025
New Digital Platform Supports Postnatal Recovery and Reduces Gynaecology Wait Times
New digital platform aids postnatal recovery for mothers. 🤱 Supports pelvic health and reduces gynaecology wait times. 📉
February 23, 2025
Exploring the Ethical Challenges of Conversational AI in Mental Health Care: Scoping Review.
Conversational AI in mental health care raises ethical concerns. 🤖🧠 Our review highlights key challenges and areas for further research.
February 22, 2025
The impact of death and caring for the dying and their families on surgeons – an AI assisted systematic scoping review.
Surgeons face emotional challenges from patient deaths. Our review highlights the need for support to prevent burnout and ensure safety. ⚕️💔
February 13, 2025
Use of Digital Health Technologies for Dementia Care: Bibliometric Analysis and Report.
Digital health technologies are transforming dementia care. 📱🧠 Our review highlights key research trends and knowledge gaps.
February 11, 2025
Women Entrepreneurs Shine at UK Women in Innovation Awards
Women entrepreneurs excelled at the UK Women in Innovation Awards, showcasing innovative health tech solutions. 🏆💡
February 10, 2025
Perspectives of Hispanic and Latinx Community Members on AI-Enabled mHealth Tools: Qualitative Focus Group Study.
Exploring Hispanic and Latinx views on mHealth tools reveals key barriers and insights for culturally relevant technology. 📱🌍
February 8, 2025
Predictors of depression among Chinese college students: a machine learning approach.
Depression in Chinese college students: key predictors identified through machine learning. Factors include anxiety, sleep quality, and gender differences. 📊🧠
February 7, 2025