- Health Expert in the Loop is the clinical expertise infrastructure needed for safe, responsible, and scalable healthcare AI
- Network of more than 4,000 health experts available to train and validate AI models and develop agents with evidence-based, real-world insights and clinical judgment
- AI developers can access experienced, credentialed clinicians across more than 65 subspecialties, including professional members from the American Heart Association
- Current healthcare AI development methods lack medical expertise; insufficient clinician involvement is fraught with risk and primed for dangerous consequences
- Clinician involvement is critical to identify and prevent unsafe AI model behavior
AUSTIN, Texas–(BUSINESS WIRE)–#AITraining—MDisrupt, the AI-powered health-expert marketplace behind healthcare’s boldest innovations, today announced the launch of Health Expert in the Loop™, the first solution for centralized, on-demand access to practicing clinicians for AI model development. The offering enables technology, digital health, medtech, and life science companies to train and validate AI systems with real-world clinical judgment, specialty knowledge, and evidence-based insights at scale, ensuring models are clinically relevant, safe, and effective.
Through MDisrupt’s network of more than 4,000 vetted health experts, including professional members of the American Heart AssociationⓇ, AI builders can access clinicians across 65+ subspecialties, from radiology and cardiology to oncology, dermatology, pathology, primary care, emergency medicine, genetic counseling, and more—matched, managed, and integrated into model training and validation workflows.
“Any AI system influencing clinical decisions must be built and validated by medical expertise as part of its core infrastructure,” said Dr. Ryan Sadeghian, Chief Medical Information Officer and MDisrupt expert in Clinical Informatics and AI. “Only clinicians understand the nuance, context, and reasoning required to ensure safe and effective decision support. Without this, AI can introduce clinical risk. Health Expert in the Loop delivers rigorous clinical training and oversight that AI models need before deployment.”
Health Expert in the Loop helps to ensure safe, responsible, and scalable healthcare AI. With immediate access to deeply credentialed clinicians, AI teams can:
- Define clinically accurate model behavior
- Detect medical inaccuracies, hallucinations, and unsafe outputs
- Evaluate AI performance using real clinical reasoning
- Stress-test models with edge cases and subspecialty nuance
- Provide continuous expert oversight as models evolve
- Ensure alignment with standards of care, clinical pathways, and real-world practice
“We’re entering the era where clinician-informed AI becomes a competitive advantage. Health Expert in the Loop gives every AI developer immediate and seamless access to the medical judgment their models cannot produce on their own,” said Ruby Gadelrab, founder and CEO of MDisrupt. “Health Expert in the Loop should become a foundational layer of the healthcare AI technology stack and the default approach for companies committed to building safe, clinically grounded AI.”
A Growing Risk: Healthcare AI is Scaling Faster than Clinical Expertise
According to a recent study by Menlo Ventures, healthcare is deploying AI solutions at 2.2X the rate of the broader economy. Meanwhile, large language models (LLMs) and multimodal models are accelerating the creation of products that summarize notes, interpret images, integrate labs, interact with patients, and influence clinical workflows and decision-making. Nontraditional players like Big Tech, generic AI platforms, and generalist recruiters with no medical background have begun recruiting clinicians directly to train and validate AI algorithms.
“Finding medical experts for AI model training presents unique challenges for recruiters who do not have deep familiarity with the medical field or its various subspecialties. This gap in domain expertise can make it difficult to identify the right clinical talent and to fully appreciate what high-quality clinical validation entails,” said Dr. Jennifer Bepple, urologist and MDisrupt expert. “Health Expert in the Loop’s approach brings much-needed clinical insights to AI developers and sets a higher standard for the industry and ultimately the care patients receive.”
Without meaningful clinician involvement, healthcare AI systems, even those developed with human-in-the-loop processes, are vulnerable to clinical errors, harmful bias, unsafe recommendations, misinterpretation of symptoms, and real-world performance failures. Medical AI systems built without appropriate clinical expertise can embed structural bias, leading to “substandard clinical decisions that may perpetuate existing inequities.” As well, the absence of clinician involvement in AI development leads to “system degradation and patient harm.”
For U.S. healthcare applications, models should be trained by U.S.-trained physicians to ensure alignment with U.S. standards of care, an area where MDisrupt provides significant depth.
“In every other industry, domain experts drive AI model performance, and healthcare should be no different. Companies that embrace this will define the future of healthcare,” said Gadelrab. “With Health Expert in the Loop, we are calling on every AI builder—from Big Tech to emerging startups, payers to biopharma—to embed credentialed, experienced clinicians into their development pipelines. Training in real clinical judgement is how to create safe, effective, and trusted AI for patient care.”
About MDisrupt
MDisrupt is the health-expert marketplace redefining how companies access real-world expertise. With a network of more than 4,000 vetted clinicians, operators, leaders, and decision-makers across healthcare, the company delivers instant access to vetted professionals in clinical, regulatory, commercial, and reimbursement domains. Powered by MDisrupt’s AI-enabled platform, companies can build safer, stronger, evidence-backed solutions to commercialize and scale responsible health products. For more information, visit www.mdisrupt.com and follow MDisrupt on LinkedIn.
Contacts
Media Contact:
Gina Manassero
PR Consultant for MDisrupt
(512) 850-4418
media@mdisrupt.com
