Special Issue: Support Technopreneurship in the Medical

Special Issue: Support Technopreneurship in the Medical

Special issue : (IICRO) International Interdisciplinary Conference on Research & Opportunities | September 13, 2023, Indonesia

Special issue dari ATT P-ISSN: 2655-8807 | E-ISSN: 2656-8888 . | Deadline submit manuscript: closed (25 July 2023)

Print Special Issue Flyer

Special Issue Editor

Qurotul Aini| About Qurotul Aini

University of Raharja

Special Issue Assistant Editor

Dendy Jonas| Google Scholar

University of Raharja

Abstract Special Issue:

Dear Colleagues,
Next Gen Healthcare is a term used to describe the revolutionary advancements in the healthcare system. It involves the integration of cutting-edge technology and innovative solutions to improve patient care and enhance the overall healthcare experience. With the rise of digital health, telemedicine, and personalized medicine, patients now have access to better diagnostic tools, faster treatments, and more personalized care plans. Next Gen Healthcare also prioritizes data privacy and security to protect patient information, as well as incorporating artificial intelligence and machine learning algorithms to streamline processes and make healthcare more efficient. By using machine learning algorithms, AI systems can identify patterns and relationships in medical data that would be difficult for human doctors to spot, resulting in more accurate and precise diagnoses. AI can also be used in image analysis and image-based diagnostics, such as detecting cancer in medical images, helping to improve the speed and accuracy of diagnoses, and also to screen for psychiatric and/or brain disorders such as depression, dementia, and Alzheimer’s disease.

This Special Issue of ATT, entitled "Support Technopreneurship in the Medical to lead Next Gen Healthcare to provide high-quality, accessible, and affordable care to patients, while also promoting a healthier and more sustainable healthcare system with the application of AI in the medical field holds immense potential to revolutionize healthcare, providing faster, more accurate diagnoses and treatments, and ultimately, improving patient outcomes. While there are still many challenges to be addressed in terms of data privacy, security, and ethical considerations, the future of AI in medicine seems bright and full of exciting possibilities. The Special Issue will include theoretical and practical research focusing on, but need not be limited to, the following: