Evaluation of the Real World Outcomes of the Tecnis Eyhance Intraocular Lens Implant in Cataract Surgery
Purpose: To evaluate real world visual outcomes of patients in terms of distance and intermediate vision using the Tecnis Eyhance™ intraocular lens (IOL), an enhanced monofocal IOL.
Methods: An observational study of 50 consecutive patients who underwent cataract surgery using the J&J Tecnis Eyhance™ IOL implant were reviewed 1 month postoperatively. At this post- operative review a clinical examination was performed assessing intraocular pressure and presence/ absence of uveitis. Visual acuity in LogMAR was measured at distance unaided, with distance correction and with pinhole. Intermediate vision at 70cm was measured on LogMAR to a maximum of 0.3 and with a near visual acuity chart.
Results: There were no intraoperative or early post-operative complications. The average best corrected distance visual acuity was 0.084 LogMAR. 69% of eyes had corrected distance VA >/= 0.1 LogMAR (6/7.5), 89% >/=0.2LogMAR (6/9.5) and 100% > 0.4 LogMAR (6/15).
At 70 cm 78% of eyes had DCIVA of at least 0.3LogMAR and 95% of eyes had DCIVA of 0.4LogMAR or better.
Conclusion: The Tecnis Eyhance IOL was found to be as easy to use as the current alternative IOLs surgically. It provided excellent distance visual acuity and in addition to this approximately half had intermediate vision of N12 or better and all all patients had intermediate vision of N36 or better
This results of this IOL demonstrated that the Tecnis Eyhance™ IOL is a safe alternative to monofocal IOLs and has the potential to give patients reasonable spectacle independence for intermediate tasks.
DOI: 10.29245/2767-5122/2026/3.1172 View / Download PdfKnow Thy Limits: Calibrated Uncertainty for Safer Rehabilitation
Rehabilitation clinicians make threshold-based decisions—exercise progression, return-to-work clearance, heat safety management—that depend on reliable physiological monitoring. Yet current noninvasive methods for estimating core body temperature provide only point predictions with no indication of reliability. A prediction of 38.3°C tells clinicians nothing about whether the true value is 38.2°C or 39.0°C, making it impossible to distinguish a trustworthy estimate from a dangerously uncertain one. This limitation is especially concerning in rehabilitation, where autonomic dysfunction, cardiovascular medications, and atypical physiology cause prediction errors to vary unpredictably across patients and conditions. This mini-review argues that calibrated uncertainty—not accuracy alone—should be a foundational requirement for physiological monitoring in rehabilitation. It introduces conformal prediction, a framework that produces statistically valid prediction intervals: when configured for 95% confidence, the true temperature falls within the stated bounds approximately 95% of the time. Proof-of-concept evidence spanning over 140,000 measurements across six high-heat operational domains demonstrates that such calibration is technically achievable in real-world settings. For rehabilitation practice, uncertainty-aware monitoring enables risk-stratified exercise progression, defensible return-to-work decisions grounded in explicit confidence bounds, and scalable telemonitoring with transparent escalation pathways. The central principle is that uncertainty should be treated as a first-class clinical signal—used to pace progression, trigger conservative action, and distinguish high-risk physiology from low-trust measurement.
DOI: 10.29245/2767-5122/2026/3.1173 View / Download Pdf