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Era of Generalist Conversational Artificial Intelligence to Support Public Health Communications

Era of Generalist Conversational Artificial Intelligence to Support Public Health Communications

For instance, by adhering to CDC’s guidelines for communication and dissemination and using only vetted information sources [24], generalist CAI agents can be designed to deliver messages accurately, empathetic, and action oriented.

Emre Sezgin, Ahmet Baki Kocaballi

J Med Internet Res 2025;27:e69007

Balancing Between Privacy and Utility for Affect Recognition Using Multitask Learning in Differential Privacy–Added Federated Learning Settings: Quantitative Study

Balancing Between Privacy and Utility for Affect Recognition Using Multitask Learning in Differential Privacy–Added Federated Learning Settings: Quantitative Study

For instance, if we want to improve how a system recognizes emotions, we can also train it to recognize gender [7]. By doing this, the system can learn from both tasks simultaneously, making it more effective in recognizing emotions and enhancing performance. The motivation for using identity and emotion has also a psychological basis. Connolly et al [8] examined whether facial responses are shared between identity and emotion.

Mohamed Benouis, Elisabeth Andre, Yekta Said Can

JMIR Ment Health 2024;11:e60003

Development and Validation of a Machine Learning–Based Early Warning Model for Lichenoid Vulvar Disease: Prediction Model Development Study

Development and Validation of a Machine Learning–Based Early Warning Model for Lichenoid Vulvar Disease: Prediction Model Development Study

LVD is often recurrent, and in the later stage, it can lead to vaginal stenosis, causing dyspareunia and even carrying the risk of carcinoma, which severely impacts the physical and psychological well-being of the patients [4-6]. It is evident that Chinese women are often reluctant to seek medical care from formal health care facilities due to economic, cultural and traditional concept, and other factors.

Jian Meng, Xiaoyu Niu, Can Luo, Yueyue Chen, Qiao Li, Dongmei Wei

J Med Internet Res 2024;26:e55734

Economics and Equity of Large Language Models: Health Care Perspective

Economics and Equity of Large Language Models: Health Care Perspective

For instance, data-driven approaches that can improve preventive care use can minimize aggressive disease-impacting clinical outcomes. Improved clinical outcomes can enable optimal resource allocation impacting operational outcome, reducing the economic burden on the patient, provider, as well as the payer impacting financial outcome. Therefore, the outcomes are represented by bidirectional arrows in Figure 1.

Radha Nagarajan, Midori Kondo, Franz Salas, Emre Sezgin, Yuan Yao, Vanessa Klotzman, Sandip A Godambe, Naqi Khan, Alfonso Limon, Graham Stephenson, Sharief Taraman, Nephi Walton, Louis Ehwerhemuepha, Jay Pandit, Deepti Pandita, Michael Weiss, Charles Golden, Adam Gold, John Henderson, Angela Shippy, Leo Anthony Celi, William R Hogan, Eric K Oermann, Terence Sanger, Steven Martel

J Med Internet Res 2024;26:e64226

Understanding AI’s Role in Endometriosis Patient Education and Evaluating Its Information and Accuracy: Systematic Review

Understanding AI’s Role in Endometriosis Patient Education and Evaluating Its Information and Accuracy: Systematic Review

Despite these advancements, significant gaps remain in understanding how AI can best serve the needs of patients with endometriosis, particularly in facilitating informed decision-making, enhancing health literacy, and addressing the unique informational needs of diverse patient populations. The ethical implications of AI-driven interventions in patient education and support must be carefully considered to ensure equitable access and privacy protection [12,13].

Juliana Almeida Oliveira, Karine Eskandar, Emre Kar, Flávia Ribeiro de Oliveira, Agnaldo Lopes da Silva Filho

JMIR AI 2024;3:e64593

Accuracy, Quality, and Misinformation of YouTube Abortion Procedural Videos: Cross-Sectional Study

Accuracy, Quality, and Misinformation of YouTube Abortion Procedural Videos: Cross-Sectional Study

This is troubling as information found on the internet can significantly alter perceptions and understanding of procedures [3]. You Tube is commonly used as a freely accessible internet-based resource for patients seeking information about medical procedures, including their risks, benefits, and safety profiles. One study found that 7% of participants surveyed used You Tube to aid their search on abortion safety [3].

Nicole Acero, Emma Herrero, Juanita Foncham, Jamie McIlvaine, Emre Kayaalp, Melissa Figueora, Antonia Francis Oladipo

J Med Internet Res 2024;26:e50099

mHealth Apps in the Digital Marketplace for Pediatric Patients With Cancer: Systematic Search and Analysis

mHealth Apps in the Digital Marketplace for Pediatric Patients With Cancer: Systematic Search and Analysis

The use of m Health apps in the context of pediatric cancer is an emerging field that holds great potential for improving the management and outcomes of this disease [5,9]. m Health can provide valuable support for families dealing with pediatric cancer, including access to emergency contact information, educational resources, and social support networks [10]. Some apps also provide pediatric cancer families with tools to improve psychosocial well-being and health outcomes [11].

Micah A Skeens, Daniel I Jackson, Malcolm S Sutherland-Foggio, Emre Sezgin

JMIR Pediatr Parent 2024;7:e58101

Artificial Intelligence in Dental Education: Opportunities and Challenges of Large Language Models and Multimodal Foundation Models

Artificial Intelligence in Dental Education: Opportunities and Challenges of Large Language Models and Multimodal Foundation Models

Personalized learning could be one, as these models can be used to create unique experiences for students by generating custom learning materials based on their individual needs, preferences, and learning styles [20,21]. In addition, LLMs and FMs can be used for content creation, where it can create educational content such as quizzes, assessments, and lesson plans which in turn can help educators save time and improve the quality of their teaching materials [20].

Daniel Claman, Emre Sezgin

JMIR Med Educ 2024;10:e52346

Chatbot for Social Need Screening and Resource Sharing With Vulnerable Families: Iterative Design and Evaluation Study

Chatbot for Social Need Screening and Resource Sharing With Vulnerable Families: Iterative Design and Evaluation Study

Avatar Users can create an avatar to personalize their chatbot experience. For the prototype, we used Apple’s Memoji to create an avatar that dynamically reflects emotions [28]. Language selection Users can select their preferred language. The prototype included the following languages: Somali, Nepali, and Spanish. Audio narration Users can use the text-to-speech and speech-to-text features to enable audio entry and engagement and listen to the responses.

Emre Sezgin, A Baki Kocaballi, Millie Dolce, Micah Skeens, Lisa Militello, Yungui Huang, Jack Stevens, Alex R Kemper

JMIR Hum Factors 2024;11:e57114