Journal of Clinical & Experimental Pathology
Open Access

Abstract

Technological advances in optical microscopy and the diagnostic capacity of a wide variety of optical techniques call for a reappraisal of the role of the pathologist. Today, neither microscopes nor tissue staining and processing are essential for diagnosis. However, in order to set the gold standard for these techniques, more publications on the morphology of in vivo biopsies and non-invasive optical biopsies are needed. Those techniques should be the responsibility of pathologists or alternatively should be a computational pathology left on the hands of Machine Learning techniques and Computer Vision methods that automate image classification to support clinical decisions to thereafter be confirmed by pathologist taken as â�?�?gold standardsâ�? on any robotic procedure. Following telemedicine similarities, this type of pathology is called: PoCP (Point of Care Pathology) or real time morphological examination at a cellular level. It relies upon software identify procedures showed in the paper such as: Artificial vision, automatic random sub windows and decision trees, content base image retrieval. Together with all novel techniques such as liquid biopsy that should be progressively integrated in a Digital Pathology Lab. We are facing a new sub-specialization that embraces most medical fields, in our case Pathology Informatics. It requires a serious re-definition of medical training to introduce the Body of Knowledge (BoK) of â�?�?medical informatics, telemedicine and bioengineering applied to distance or robotic medicineâ�?. We must introduce a transversal and essential topic that assure that the new robotic millennium provide medical support by experienced doctors trained to provide QoC (quality of care) with the forthcoming tools.

Biography

Email: catai@teide.net