Artificial intelligence in suicide prevention: Utilizing deep learning approach for early detection by Vikas Gaur, Gaurav Maggu, Khushboo Bairwa, Suprakash Chaudhury, Sana Dhamija, Tahoora Ali

“…Early identification of students contemplating suicide would facilitate emergency intervention and may save precious lives. Aim: Our primary objective was to construct an artificial intelligence (AI) model employing an artificial neural network (ANN) architecture to predict students at risk of suicidal tendencies. …”
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Harnessing artificial intelligence for enhanced public health surveillance: a narrative review by Vanessa I. S. Mendes, Beatriz M. F. Mendes, Rui Pedro Moura, Inês M. Lourenço, Mariana F. A. Oliveira, Kim Lee Ng, Cátia S. Pinto

“…Artificial intelligence (AI) has a transformative potential to revolutionize public health by addressing critical challenges in disease prevention, outbreak detection, and countermeasures distribution. …”
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Exploring Applications of Artificial Intelligence in Critical Care Nursing: A Systematic Review by Elena Porcellato, Corrado Lanera, Honoria Ocagli, Matteo Danielis

“…<b>Background:</b> Artificial intelligence (AI) has been increasingly employed in healthcare across diverse domains, including medical imaging, personalized diagnostics, therapeutic interventions, and predictive analytics using electronic health records. …”
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Psychometric properties of the TMMS-24 emotional intelligence scale in Peruvian university students by Pablo Fernández-Berrocal, Vilma Vilca-Pareja, Maria Elena Rojas Zegarra, Manuel Edmundo Hillpa-Zuñiga, Victor Ritchar Yana-Calla, Rosario Cabello

“…University life presents significant challenges that can negatively impact students’ mental health, increasing the prevalence of anxiety and depression. Emotional intelligence (EI) has been identified as a crucial protective factor in this context. …”
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The Role of Artificial Intelligence in Obesity Risk Prediction and Management: Approaches, Insights, and Recommendations by Lillian Huang, Ellen N. Huhulea, Elizabeth Abraham, Raphael Bienenstock, Esewi Aifuwa, Rahim Hirani, Atara Schulhof, Raj K. Tiwari, Mill Etienne

“…In recent years, artificial intelligence (AI) and machine learning (ML) have emerged as powerful tools in healthcare, offering novel approaches to chronic disease prevention. …”
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Research on the development of an intelligent prediction model for blood pressure variability during hemodialysis by Zhijian Ren, Minqiao Zhang, Pingping Wang, Kanan Chen, Jing Wang, Lingping Wu, Yue Hong, Yihui Qu, Qun Luo, Kedan Cai

“…With the development of artificial intelligence, machine learning and deep learning models have become increasingly sophisticated in the field of hemodialysis. …”
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Predicting coronavirus disease 2019 severity using explainable artificial intelligence techniques by Takuya Ozawa, Shotaro Chubachi, Ho Namkoong, Shota Nemoto, Ryo Ikegami, Takanori Asakura, Hiromu Tanaka, Ho Lee, Takahiro Fukushima, Shuhei Azekawa, Shiro Otake, Kensuke Nakagawara, Mayuko Watase, Katsunori Masaki, Hirofumi Kamata, Norihiro Harada, Tetsuya Ueda, Soichiro Ueda, Takashi Ishiguro, Ken Arimura, Fukuki Saito, Takashi Yoshiyama, Yasushi Nakano, Yoshikazu Muto, Yusuke Suzuki, Ryuya Edahiro, Koji Murakami, Yasunori Sato, Yukinori Okada, Ryuji Koike, Makoto Ishii, Naoki Hasegawa, Yuko Kitagawa, Katsushi Tokunaga, Akinori Kimura, Satoru Miyano, Seishi Ogawa, Takanori Kanai, Koichi Fukunaga, Seiya Imoto

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Enhancing knee MRI bone marrow lesion detection with artificial intelligence: An external validation study by Kevin Maarek, Philippine Cordelle, Tom Vesoul, Pascal Zille, Gaspard d'Assignies, Antoine Feydy, Guillaume Herpe

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Abstract 271: The Artificial Intelligence Revolution in Stroke Care: A Decade of Scientific Evidence in Review by Kareem El Naamani, Basel Musmar, Nithin Gupta, Osama Ikhdour, Hamam Abdelrazaq, Marc Ghanem, Wali M, Stavropoula Tjoumakaris, Michael Gooch, Robert Rosenwasser, Pascal Jabbour, Nabeel Herial

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Artificial intelligence-driven pathomics in hepatocellular carcinoma: current developments, challenges and perspectives by Wei Ding, Jinxing Zhang, Zhicheng Jin, Hongjin Hua, Qingquan Zu, Shudong Yang, Weidong Wang, Sheng Liu, Haifeng Zhou, Haibin Shi

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Applications and Challenges of Artificial Intelligence in Early Diagnosis and Precise Treatment of Lung Cancer by Shouyu ZHANG, Bojiang CHEN, Weimin LI

“…This paper reviews the application of artificial intelligence in the prediction of benign and malignant lung nodules, pathology, gene mutation, intervention scheme, treatment response, and prognosis and presents the corresponding challenges.…”
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Harnessing multi-omics and artificial intelligence: revolutionizing prognosis and treatment in hepatocellular carcinoma by Zhen Wang, Zhen Wang, Zhen Wang, Gangchen Zhou, Gangchen Zhou, Rongchuan Cao, Rongchuan Cao, Guolin Zhang, Guolin Zhang, Yongxu Zhang, Yongxu Zhang, Mingyue Xiao, Longbi Liu, Longbi Liu, Xuesong Zhang

“…The development of the AIDRS offers a robust tool for risk stratification, while CEP55 has emerged as a promising target for therapeutic intervention in HCC.…”
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The rise of synthetic ecosystems in agriculture: artificial intelligence as the future of urban food systems by J. Rad

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Impact of artificial intelligence on academic performance in medical education: A systematic review by Masomeh Kalantarion, Mehrsa Heidari, Nasrin Khajeali, Zahra Khorrami, Mitra Amini

“…Artificial intelligence (AI) plays a significant role in improving the quality of medical education. …”
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Study on Intelligent Early Warning System of Railway Locomotive Driver Operation State by QU Surong, ZHANG Zhongyang, ZHANG Xianfeng

“…Through the system software coordinated control, the locomotive driver operation state intelligent early warning system was constructed, which realized automation on the all-weather online real-time tracking monitoring, early warning, analysis and intervention.…”
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Advanced imaging techniques and artificial intelligence in pleural diseases: a narrative review by Guido Marchi, Mattia Mercier, Jacopo Cefalo, Carmine Salerni, Martina Ferioli, Piero Candoli, Leonardo Gori, Federico Cucchiara, Giovanni Cenerini, Giacomo Guglielmi, Michele Mondoni

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Patient Reactions to Artificial Intelligence–Clinician Discrepancies: Web-Based Randomized Experiment by Farrah Madanay, Laura S O'Donohue, Brian J Zikmund-Fisher

“… BackgroundAs the US Food and Drug Administration (FDA)–approved use of artificial intelligence (AI) for medical imaging rises, radiologists are increasingly integrating AI into their clinical practices. …”
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Role of Artificial Intelligence in the Diagnosis and Management of Pulmonary Embolism: A Comprehensive Review by Ahmad Moayad Naser, Rhea Vyas, Ahmed Ashraf Morgan, Abdul Mukhtadir Kalaiger, Amrin Kharawala, Sanjana Nagraj, Raksheeth Agarwal, Maisha Maliha, Shaunak Mangeshkar, Nikita Singh, Vikyath Satish, Sheetal Mathai, Leonidas Palaiodimos, Robert T. Faillace

“…Pulmonary embolism (PE) remains a critical condition with significant mortality and morbidity, necessitating timely detection and intervention to improve patient outcomes. This review examines the evolving role of artificial intelligence (AI) in PE management. …”
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Clinical Application of Artificial Intelligence in the Diagnosis, Prediction, and Classification of Coronary Heart Disease by Mahbuba Ferdowsi, Choon-Hian Goh, Haipeng Liu, Gary Tse, Jeremy Man Ho Hui, Xinhong Wang

“…Coronary heart disease (CHD), the most common cause of mortality globally, poses a formidable challenge to modern healthcare systems. Artificial intelligence (AI) is playing an increasingly important role in multiple diagnostic applications of CHD, by facilitating early intervention and personalized treatment. …”
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Progress of the artificial intelligence application in prognosis assessment of acute-on-chronic liver failure by GONG Hongmei, MAO Qing, JIANG Li

“…With the rapid development of artificial intelligence(AI) technology in healthcare, disease diagnosis, and treatment and prevention, the application of AI in liver diseases is gaining increasely attention as well. …”
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