The Intersection of Medicine and AI | Michael Abramoff, Digital Diagnostic
Release Date: 06/22/2023
The Darius Gant Show
In this episode we speak with Wendy Gonzalez, CEO of Sama, a company at the forefront of providing high-quality training data for AI technologies, used by major companies like Walmart, Google, Nvidia, GM, and more. Under Wendy's leadership, Sama has gained recognition for its rapid growth and her dedication to creating employment opportunities in underserved communities. The conversation delves into Sama's foundation on the belief of distributing opportunity through job creation in the digital economy, their focus on AI data pipeline development, and the shift towards data annotation and AI...
info_outline A Dive into the AI Data Quality Revolution | Abe Gong, Great ExpectationsThe Darius Gant Show
Data quality issues can arise at various stages of the data pipeline, from data ingestion to model deployment. Common issues include null values, schema drift, and incorrect calculations. These seemingly small issues can have a significant impact on the accuracy and reliability of the data, leading to broken dashboards and loss of trust in the data system. In this episode, host Darius Gant interviews Abe Gong, the founder and CEO of Great Expectations, a leading data quality tool. Abe shares his insights into the world of data quality and how Great Expectations is solving the systemic problem...
info_outline The power of AI in transforming cybersecurity | Gregor Stewart, Sentinel OneThe Darius Gant Show
One of the primary benefits of AI in cybersecurity is its ability to enhance perception and reasoning. Traditional security measures often rely on manual analysis of logs and data, which can be time-consuming and prone to human error. AI, on the other hand, can analyze vast amounts of data in real-time, detecting patterns and anomalies that may indicate malicious activity. This improved perception allows for early detection of threats and faster response times. In this episode, we speak with Gregor Stewart, an executive at Sentinel One, about the intersection of AI and cybersecurity....
info_outline Challenges of Data Collaboration in the World of AI | Alon Kaufman, DualityThe Darius Gant Show
In a world driven by data, organizations are constantly seeking ways to collaborate and leverage the power of artificial intelligence (AI) to solve complex problems. However, the challenge lies in the fact that data collaboration often requires sharing sensitive information, which raises concerns around privacy, security, and intellectual property (IP) protection. In this episode we interview Alon Kaufman, the CEO of Duality Technologies, about the challenges and solutions surrounding data collaboration in the age of AI. Alon shares his journey in the field of AI, starting from his...
info_outline The Rise of Generative AI: Creating Competitive Advantage | Bartek Roszak, STXNextThe Darius Gant Show
Generative AI, particularly retrieval augmented generation (RAG), is in high demand as companies seek to leverage its capabilities to improve operational efficiency and enhance customer experiences. - Building a successful generative AI project requires a combination of engineering and research skills, as well as a deep understanding of the specific use case and data sources involved. - Ongoing maintenance and monitoring are crucial for ensuring the continued success of generative AI projects, as models need to be regularly updated and evaluated to maintain accuracy and relevance. Today...
info_outline Building and Deploying of Generative AI Solutions | Ehmad Zubair, Cogent LabsThe Darius Gant Show
Generative AI has become a game-changer in various industries, with applications ranging from content generation to market research. - The demand for generative AI talent is high, and it is an employee’s market in this field. - Prompt engineering is crucial in effectively communicating with language models and ensuring accurate and human-like outputs. Building Gen AI products requires a different skill set compared to traditional software development. It’s important to understand prompt engineering, have knowledge of neural networks and backpropagation, and be familiar with frameworks like...
info_outline AI for Automating Mundane Tasks in Group Collaboration | Jason Flaks, XemblyThe Darius Gant Show
In today’s fast-paced business environment, time is a valuable resource. Yet, many employees find themselves bogged down by mundane tasks that hinder their ability to focus on more strategic work. Xembly, an AI-powered platform, seeks to address this challenge by automating group tasks and streamlining collaboration processes. In this episode, we interview Jason Flaks, co-founder of Xembly, about the role of AI in automating mundane tasks for knowledge workers. Jason shares his nontraditional path into the world of AI, starting as a musician and transitioning to software engineering. He...
info_outline Revolutionizing Workforce Learning with AI Mentorship | Iulian Vlad, KorbitThe Darius Gant Show
The rise of online learning platforms like Coursera and Udemy has created a massive demand for learning new skills. However, the completion rates on these platforms have been disappointingly low, with only 1% to 2% of learners actually finishing a course. This is due to the lack of personalization and the absence of support for learners who may have different backgrounds and prerequisites. Korbit recognized this problem and set out to create a solution that would address the individual needs of learners. Their initial approach was to build an e-learning platform that used AI to personalize the...
info_outline AI-Powered Approach to Career Development | Michael Simpson, PairinThe Darius Gant Show
Today we sit with Michael Simpson, the founder of Pairin; a company that uses AI to connect individuals to relevant resources and career opportunities. With a background in the technology industry, Michael has always been involved in cutting-edge technologies and has a passion for leveraging AI to solve complex problems. He shares his journey and the inspiration behind creating Pairin, a platform that helps individuals navigate their careers and make informed decisions. With AI-driven features like resume and cover letter creation, Pairin aims to provide personalized guidance and improve the...
info_outline The Role of Data in AI Evolution | Daniela Braga, Defined.AIThe Darius Gant Show
In the realm of artificial intelligence (AI), data plays a crucial role. In essence, it serves as the backbone of AI, providing the necessary nourishment to the algorithms and models that power intelligent systems. As AI continues to evolve, data will remain a primary focus to ensure the continued growth and success of intelligent machines. In this episode we sit with Daniela Braga, CEO and Founder of Defined AI. Daniela discusses her journey in AI and the pain point she set out to solve. She explains how her background in linguistics led her to work on the first text-to-speech system...
info_outlineToday we sit with Michael D. Abramoff, a neuroscientist and the founder of Digital Diagnostics, a company that leverages artificial intelligence (AI) to provide autonomous medical diagnosis. In this interview, Michael shares his background and how he got into AI, as well as his vision for the future of medical diagnosis. He discusses how he uses AI to make medical diagnoses, the challenges he faces, and the potential for AI to revolutionize healthcare. He also talks about his involvement in other AI-related projects and his thoughts on the ethical implications of AI in healthcare. In addition, Michael delves into the safety concerns surrounding AI, particularly with language learning models (LLMs), and the importance of ensuring that AI is safe and free of bias.
Michael’s vision for AI in healthcare goes beyond mere assistance or augmentation of human decision-making. He believes that AI can make diagnoses and treatment decisions autonomously, without the need for human intervention. However, the promise of autonomous AI must be balanced with the potential pitfalls. As he pointed out, AI that learns from biased or fallible humans can produce models that are worse off. In healthcare, this could lead to harm to patients if doctors blindly follow AI recommendations.
Digital Diagnostics is a company that uses AI to diagnose diabetic retinopathy and increase healthcare access for underserved patients. The AI is trained to detect specific lesions using clinical knowledge and chunk by chunk learning to avoid bias. Healthcare providers can approve or disapprove the AI's recommendations, and the company aims to supplement rather than displace professionals.
If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development.
Founder Bio:
Michael D. Abramoff, MD, PhD, is a fellowship-trained retina specialist, computer scientist, and entrepreneur. He is Founder and Executive Chairman of Digital Diagnostics, the first company ever to receive FDA clearance for an autonomous AI diagnostic system. To transform the quality, accessibility, and affordability of global healthcare through the automation of medical diagnosis and treatment. In primary care, it can instantaneously diagnose diabetic retinopathy and diabetic macular edema at the point of care. Dr. Abramoff developed an ethical foundation for autonomous AI that was used during the design and validation, and regulatory and payment pathways for autonomous AI. As the author of over 350 peer-reviewed publications in this field, he has been cited over 42,000 times, and is the inventor of 20 issued patents and many patent applications. Dr. Abramoff has mentored dozens of engineering graduate students, ophthalmology residents, and retina fellows. His passion is to use AI to improve the affordability, accessibility, and quality of care.
Time Stamps:
02:10 Michael's background as a neuroscientist and his interest in AI
05:37 Safety concerns surrounding AI, particularly with LLMs
07:08 The challenges of implementing AI in healthcare
09:07 The importance of AI supporting decision making rather than making decisions
11:02 The potential for AI to revolutionize healthcare
15:25 The importance of ensuring access to healthcare for all
18:40 The pain points behind creating Digital Diagnostics
21:49 Creating an ethical framework for regulation and reimbursement of AI
24:02 Potential for AI to outperform human experts in diagnosing medical conditions
26:00 Importance of clinical outcomes: acquiring data for AI and ensuring inclusivity
29:26 The impact of pigmentation on AI training data
31:37 Talent shortage in AI: transition from rule-based systems to machine learning
33:00 Understanding the fundamentals of AI despite increased efficiency
35:10 The need to prove the worth of AI in healthcare through clinical outcomes
37:24 How to get in contact with the Digital Diagnostics team
Resources:
Company website: https://www.digitaldiagnostics.com/
Facebook: https://www.facebook.com/AItheRightWay
LinkedIn: https://www.linkedin.com/company/digital-diagnostics