Amirmahdi Zarif

The integration of artificial intelligence (AI) and natural language processing (NLP) in healthcare has demonstrated transformative potential for disease diagnosis and clinical decision support. This paper presents a comprehensive analysis of current AI and NLP methodologies in healthcare, examining their applications across medical imaging, clinical text analysis, and diagnostic decision support systems. We systematically evaluate performance metrics from 50+ peer-reviewed studies, revealing that AI systems achieve diagnostic accuracies ranging from 88.7% to 96.2% across different medical specialties, often matching or exceeding human expert performance. Our analysis identifies key implementation challenges including data quality, algorithmic transparency, and clinical workflow integration. We propose a framework for responsible AI deployment in healthcare settings and discuss emerging trends in multimodal diagnostic approaches. The findings suggest that while AI and NLP technologies offer significant clinical benefits, successful implementation requires careful attention to technical validation, ethical considerations, and stakeholder engagement.

Amirmohammad Zarif Shahsavan Nejad, Helia Mokhtari, Azita Shirazipour, Soroush Sadeghnejad, Amirmahdi Zarif Verified by AVIS CertificateFIRA World Summit 2026Submitted 17 Sept 2026

This study presents a comprehensive Open Innovation model, infused with Systems Thinking principles, to investigate the FIRA Innovation & Business League’s role as a global platform for propelling robotics and emerging technologies forward. By framing the league as a multi-stakeholder ecosystem, the research delineates a layered framework that elucidates interactions among startups, established organizations, and the wider community. Employing a mixed-methods approach, the study illuminates how the league enables knowledge exchange, technology transfer, and entrepreneurial collaboration. The findings underscore that this integrated model accelerates innovation cycles, bolsters startup performance, and cultivates robust linkages among industry, academia, and government. A SWOT analysis further unveils the challenges and opportunities inherent in maintaining open innovation amid a swiftly evolving technological terrain. The paper culminates in underscoring the pivotal role of problem-driven innovation formats and sustainable ecosystem architectures, with special attention to the league’s forthcoming iterations, including its anticipated 2026 expansion into Canada.

Amirmahdi Zarif, Amirmohammad Zarif Shahsavan Nejad, Jacky Baltes, Kuo-Yang Tu, Soroush Sadeghnejad Verified by AVIS CertificateFIRA World Summit 2026Submitted 17 Sept 2026

The development of humanoid robots, particularly in enhancing human-robot interaction, is a rapidly advancing field. This paper explores the simulation of the Thormang humanoid robot and the development of advanced grasping models using machine learning techniques. Our research delves into the intricacies of kinematics, dynamics, and computer vision, paving the way for more intuitive and effective humanrobot interactions. Using and comparing different 6D pose models such as CASAPose, we continue to perform the provided tasks in object manipulation.

Armin Baratian Sarabi, Amin Arami, Amirmohammad Zarif Shahsavan Nejad, Amirmahdi Zarif, Soroush Sadeghnejad Verified by AVIS CertificateFIRA World Summit 2026Submitted 17 Sept 2026

Abstract

Amirmohammad Zarif Shahsavan Nejad, Amirmahdi ZarifFIRA World Summit 2025Submitted 6 Apr 2026