On February 29, Spectral AI announced that Peter M. Carlson, its current chief financial officer (CFO), will take over the role as CEO and board member of the medical diagnostics company. Carlson will succeed Wensheng Fan, who will take an advisor role after nearly four years as CEO and 14 years with the company. The move comes after the Dallas, Texas-based company made its initial public offering (IPO) on September 12, 2023, on the Nasdaq, trading under MDAI.
“We are confident he is the right person to guide Spectral AI as we evolve from a late-stage development company and commercialize our revolutionary, AI-driven wound care technology,” said Richard Cotton, chairman of the company’s board of directors.
Before joining Spectral AI, Carlson served as chief operating officer at Brighthouse Financial and chief accounting officer for MetLife. Carlson joined Spectral AI as its CFO in January of this year.
Spectral AI, which develops AI tools for medical diagnostics, received full UK Conformity Assessed (UKCA) authorization for its predictive software DeepView AI-Burn. The software helps clinicians assess a wound’s healing potential prior to medical intervention. The company also enrolled its first patient a study to validate DeepView AI for burn size and healing assessments and plans to seek FDA marketing authorization for the software in 2025. It is also investigating other clinical applications for DeepView, including its use for venous leg ulcers, critical limb ischemia, guided therapy, and more (1).
Technology. Spectral AI, Inc. 2024. https://www.spectral-ai.com/wound-healing-technologies/ (accessed 2024-3-1)
AI, Deep Learning, and Machine Learning in the Dynamic World of Spectroscopy
December 2nd 2024Over the past two years Spectroscopy Magazine has increased our coverage of artificial intelligence (AI), deep learning (DL), and machine learning (ML) and the mathematical approaches relevant to the AI topic. In this article we summarize AI coverage and provide the reference links for a series of selected articles specifically examining these subjects. The resources highlighted in this overview article include those from the Analytically Speaking podcasts, the Chemometrics in Spectroscopy column, and various feature articles and news stories published in Spectroscopy. Here, we provide active links to each of the full articles or podcasts resident on the Spectroscopy website.
Diffuse Reflectance Spectroscopy to Advance Tree-Level NSC Analysis
November 28th 2024Researchers have developed a novel method combining near-infrared (NIR) and mid-infrared (MIR) diffuse reflectance spectroscopy with advanced data fusion techniques to improve the accuracy of non-structural carbohydrate estimation in diverse tree tissues, advancing carbon cycle research.
Using Raman Spectroscopy and Surface-enhanced Raman Spectroscopy to Detect Cholesterol Disorders
November 25th 2024Researchers have developed a highly sensitive method using Raman and surface-enhanced Raman spectroscopy (SERS) with gold nanoparticles to accurately quantify intracellular cholesterol.
Young Scientist Awardee Uses Spectrophotometry and AI for Pesticide Detection Tool
November 11th 2024Sirish Subash is the winner of the Young Scientist Award, presented by 3M and Discovery education. His work incorporates spectrophotometry, a nondestructive method that measures the light of various wavelengths that is reflected off fruits and vegetables.