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.
3D rendering artificial intelligence AI research of droid robot and cyborg development for future of people living. Digital data mining and machine learning technology design for computer brain. | Image Credit: © Summit Art Creations - stock.adobe.com
“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)
Exploring Data Transforms in Chemometrics
May 14th 2025Our “Chemometrics in Spectroscopy” column highlights the methodology that is used in order to apply chemometric methods to data. Integrating chemometrics with spectroscopy allows scientists to understand solutions to their problems when they encounter surprising results. Recently, columnists Howard Mark and Jerome Workman, Jr., wrote a series of articles about data transforms in chemometric calibrations. In this listicle, we profile all pieces in this series and invite you to learn more about applying chemometric models to continuous spectral data.
New SERS Platform Enhances Real-Time Detection of Cardiovascular Drugs in Blood
May 13th 2025Researchers at Harbin Medical University recently developed a SERS-based diagnostic platform that uses DNA-driven “molecular hooks” and AI analysis to enable real-time detection of cardiovascular drugs in blood while eliminating interference from larger biomolecules.
Wearable fNIRS Sensor Tracks Cognitive Fatigue in Real Time
May 7th 2025Researchers have developed a wireless, wearable brain-monitoring device using functional near-infrared spectroscopy (fNIRS) to detect cognitive fatigue in real time. The miniaturized system enables mobile brain activity tracking, with potential applications in driving, military, and high-stress work environments.
Real-Time Health Monitoring Using Smart Wearable Spectroscopy Sensors With AI
May 6th 2025A newly published review in the journal Advanced Materials explores how intelligent wearable sensors, powered by smart materials and machine learning, are changing healthcare into a decentralized, personalized, and predictive modeling system. An international team of researchers highlights emerging technologies that promise earlier diagnosis, improved therapy, and continuous health monitoring—anytime, anywhere.
Developing Sensitive Optical Methods for Early Disease Detection
May 5th 2025Noureddine Melikechi, dean of the Kennedy College of Sciences and professor at the University of Massachusetts Lowell, shares his work on the early detection of diseases like epithelial ovarian cancer and Alzheimer’s.