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Recent Articles

2020-02-28 Review Article

Transference and countertransference are linked to placebo-nocebo effects and they are an auxiliary resource of unparalleled value in general medicine: Recommendations for general practitioners


Psychological phenomena of the doctor-patient relationship influence the therapeutic process. Among these phenomena are the transference (the emotions of the patient towards the doctor), and the countertransference (the emotional reactions of the doctor towards the patient). Doctor and patient are within an interactive relationship in a conscious and unconscious way: the patient is influenced by the doctor, and vice versa. Doctor is solely responsible for the control of transference and countertransference, since patients do not have a conscious perception of these phenomena. In general medicine the transference/countertransference have connotations of placebo effect and nocebo. The challenge of the doctor-patient relationship for the doctor is to realize the transference and countertransference phenomena and use them to achieve placebo effects and minimize the nocebo, and also respecting the needs of both parties, so that to improve the quality of clinical practice. Under these conditions, transference and countertransference are auxiliary resources of unparalleled value.

Abstract Read Full Article HTML DOI: 10.29328/journal.apmh.1001010 Cite this Article

2020-03-20 Review Article

Artificial Intelligence in the healthcare of older people


Clinical applications of Artificial Intelligence (AI) in healthcare are relatively rare. The high expectations in relation to data analysis influencing general healthcare have not materialized, with few exceptions, and then predominantly in the field of rare diseases, oncology and pathology, and interpretation of laboratory results. While electronic health records, introduced over the last decade or so in the UK have increased access to medical and treatment histories of patients, diagnoses, medications, treatment plans, immunization dates, allergies, radiology images, laboratory and test results, these have potential for evidence-based tools that providers can use to make decisions about a patient’s care, as well as streamline workflow. In the following text, we review the advances achieved using machine learning and deep learning technology, as well as robot use and telemedicine in the healthcare of older people.


Abstract Read Full Article HTML DOI: 10.29328/journal.apmh.1001011 Cite this Article