Algorithms over Fusions: The New Era of Spine Surgery Arrives in Chicago

CHICAGO, IL – September 28, 2026 – The traditional approach to treating chronic back and neck pain is undergoing a radical, data-driven transformation. In a move that signals a broader industry shift toward artificial intelligence and motion-preserving treatments, top-ranked Midwest Orthopaedics at Rush (MOR) announced today the addition of Dr. Ameen Barghi to its spine surgery team, effective October 19, 2026.

Dr. Barghi is not a conventional hire. Armed with a medical degree from Harvard Medical School and a master's degree in public policy from the University of Oxford—which he earned as a Rhodes Scholar—he represents a new breed of physician-economist. His clinical practice focuses heavily on minimally invasive and robotic-navigated spine procedures, but his broader impact lies in utilizing machine learning to predict which patients will actually benefit from surgery.

"As Chief of MOR's Spine Section, I could not be more excited to welcome Ameen to our growing team," says Kern Singh, MD. "His addition represents an important step in our continued commitment to building one of the premier destinations for spine care in Chicagoland, throughout the Midwest, and across the country."

Deploying across MOR’s clinics in Chicago, Joliet, Naperville, Oak Brook, and Westchester, the appointment is more than a clinical expansion. It is a strategic maneuver in the highly competitive Northern Illinois healthcare market, blending high-tech surgical intervention with rigorous health economics.

Rethinking the Fusion: A Push for Motion Preservation

For decades, spinal fusion has been the gold standard for treating degenerative disc disease and spondylolisthesis. Procedures like Anterior Cervical Discectomy and Fusion (ACDF) rigidly lock spinal segments together. While often effective at eliminating localized pain, fusions come with a steep biomechanical cost.

By eliminating natural movement at the fused joint, mechanical stress is transferred to the vertebrae above and below the surgical site. Clinical registry data indicates that up to 25 percent of fusion patients develop symptomatic adjacent-segment disease within a decade, frequently necessitating a second operation. Furthermore, fusions require prolonged recovery periods for bone graft consolidation and carry significant risks of non-union.

Dr. Barghi’s clinical philosophy pivots aggressively away from this paradigm. His pledge to patients includes a commitment to avoid spinal fusion whenever medically appropriate, favoring motion-preserving alternatives such as artificial disc replacements and dynamic posterior stabilization.

These advanced arthroplasty techniques maintain segmental kinematic motion, restore disc height, and dissipate mechanical loads normally. Randomized controlled trials evaluating cervical disc replacements have demonstrated equal or superior pain relief compared to traditional fusions, with statistically lower rates of reoperation. For patients navigating a maze of surgical recommendations, this approach offers a critical second opinion—particularly for those who have been told that a permanent fusion is their only option.

Algorithms in the OR: Predicting Surgical Success

Where Dr. Barghi’s addition truly intersects with the future of healthcare is his application of artificial intelligence to surgical planning. The reality of orthopedic care is that an estimated 20 to 40 percent of back surgeries fail to deliver satisfactory pain relief—a phenomenon so common it has its own clinical designation: Failed Back Surgery Syndrome.

Often, these failures are not the result of poor surgical technique, but of suboptimal patient selection. This is where predictive analytics are reshaping the operating room.

During his fellowship at the Rothman Orthopaedic Institute—where he performed more than 500 spine surgeries in a single year—and through his extensive academic research, Dr. Barghi has pioneered algorithms that outperform traditional clinical intuition. In a landmark 2022 study published in World Neurosurgery, his research team evaluated over 42,000 spine surgery cases using machine learning algorithms. The results were definitive: multi-feature algorithmic models predicted adverse events, blood transfusions, and extended hospital stays with vastly higher accuracy than standard comorbidity indices.

"We are moving past the era where surgical risk is calculated by static frailty scores and a surgeon's gut feeling," noted one biomedical informatics researcher familiar with the study. "By feeding imaging data, spinal alignment metrics, and psychosocial variables into predictive models, we can calculate the exact probability of clinical failure before a scalpel ever touches the skin."

This data-driven approach directly translates to bottom-line results. In a healthcare landscape increasingly dominated by Medicare bundled payments and value-based care contracts, predicting outlier costs and preventing readmissions is vital. Algorithms enable proactive pre-habilitation and identify which candidates are safe for same-day outpatient discharge, significantly reducing system-wide costs.

The Suburban Arms Race: MOR’s Strategic Expansion

Beyond clinical innovation, Dr. Barghi’s deployment across five separate clinics highlights a fierce regional business strategy. Midwest Orthopaedics at Rush is an independent, physician-owned practice that serves as the academic faculty for Rush University Medical Center. Rather than succumbing to private equity buyouts, MOR recently formed OrthoMidwest—aggregating with other regional practices to scale to over 350 musculoskeletal providers.

This massive footprint requires elite talent to capture high-margin suburban markets. The Chicagoland orthopedic landscape is a competitive battleground, with heavyweights like Northwestern Medicine, Endeavor Health, and Duly Health and Care all vying for dominance in the affluent western and southwestern suburbs.

By placing a Harvard-trained, Oxford-educated surgeon in locations like Naperville, Oak Brook, and Joliet, MOR is executing a calculated hub-and-spoke expansion. Complex, inpatient deformities and academic clinical trials remain centralized at the Chicago hub, while high-demand outpatient procedures—such as robotic-navigated microdecompression and artificial disc replacements—are pushed to modern, suburban ambulatory surgery centers.

"The strategy is clear: bring quaternary-level academic talent directly to the commercial payer base in the suburbs," explained a local healthcare industry analyst. "Patients no longer want to commute downtown for advanced robotic spine care when they can receive it in a state-of-the-art facility ten minutes from their home in DuPage County."

Ultimately, the recruitment of Dr. Barghi is a microcosm of where modern medicine is heading. It is a synthesis of Oxford-level health policy, Silicon Valley-style machine learning, and elite surgical craftsmanship, all designed to keep patients moving while keeping healthcare costs in check. As the industry continues to cut through the hype of artificial intelligence, it is precisely this kind of tangible, patient-level application that will define the next decade of human progress in medicine.