AI-Driven infrared imaging and telerobotics in orthopedics: Enhancing diagnostics, surgical precision, and postoperative care

Title : AI-Driven infrared imaging and telerobotics in orthopedics: Enhancing diagnostics, surgical precision, and postoperative care

Abstract:

This presentation explores the transformative potential of AI-driven infrared imaging in orthopedic practice, alongside emerging applications of telerobotics and telerounding for postoperative evaluation. Infrared imaging, augmented by machine learning algorithms, enables non-invasive detection of musculoskeletal pathologies through circulatory pattern analysis. Case studies highlight its utility in:

Sports Medicine: Early identification of ACL and meniscal injuries via inflammatory anomalies, achieving diagnostic sensitivity of 91.67% and specificity of 85.71% in preliminary trials.

Oncology: Delineating metabolic activity in bone and soft-tissue tumors, aiding preoperative planning and recurrence monitoring.

Rheumatology: Quantifying joint inflammation in rheumatoid arthritis, correlating inflammatory asymmetry with disease progression.

Wound Care: Predicting surgical incision healing dynamics through real-time metabolic gradients, with promising integration into AI-driven decision systems.

Concurrently, telerobotic platforms enhance surgical precision through real-time intraoperative feedback, reducing complications in arthroplasty and spinal procedures. Postoperatively, telerounding—supported by wearable sensors and telehealth interfaces—facilitates remote monitoring of rehabilitation progress, vital signs, and early complication detection. Data from robotic post-operative demonstrate 30% shorter hospital stays and accelerated return to daily activities when combined with AI-guided recovery protocols.

Future directions emphasize hybrid models integrating infrared imaging biomarkers with digital twins for personalized treatment simulations. Ethical considerations, including AI transparency and equitable access to robotic technologies, are critically addressed.

Keywords: AI-driven infrared imaging, thermography, telerobotics, telerounding, orthopedic diagnostics, postoperative care.

Biography:

Marcos Brioschi Chairman of American Academy of Thermology. Fellow in Clinical Research at Harvard University. Surgeon, holding a degree from Federal University of Paraná (1996), a Master's degree in Medicine from Evangelical University of Paraná (2000), a Ph.D. in Surgery (2003), and a Ph.D. in Mechanical Engineering (Biothermodynamic) from Federal University of Paraná (2010). Have completed a Postdoctoral position in the Neurology Department at Faculty of Medicine, Hospital de Clinicas, University of Sao Paulo. Areas of expertise include Surgery, Forensic Medicine, and Clinical Thermology (infrared imaging, thermography), with research interests in pain treatment,telemedicine, health tech, and surgery. Over 391 published scientific papers, cited by more than 294 articles in the medical community. Currently reviewer for more than 16 international medical journals, and coordinator of the Medical Thermography Committees for the Brazilian Association of Physical Medicine and Rehabilitation, the Brazilian Society for the Study of Pain, the Brazilian Association of Forensic Medicine, and the Brazilian Society of Tissue Regeneration. Hold the position of current President of the PanAmerican Thermology Society and Brazilian Thermology Medical Association. Honor member of American Academy of Thermology.