The paper analyses publications data related to issues of application of AI and machine learning systems in medical science and practice. The particular attention is paid to key points of AI application in health care: diagnostics, telemedicine, development of new medications, medical rehabilitation and management decision-making process. Despite broad perspectives of applying the given systems in clinical practice and pharmaceutical industry, there are a number of such unsolved problems as ensuring information security, risk of making erroneous decisions and necessity to change existing normative legal base of health care.

BACKGROUND: Health care professionals receive little training on the digital technologies that their patients rely on. Consequently, practitioners may face significant barriers when providing care to patients experiencing digitally mediated harms (eg, medical device failures and cybersecurity exploits). Here, we explore the impact of technological failures in clinical terms.
OBJECTIVE: Our study explored the key challenges faced by frontline health care workers during digital events, identified gaps in clinical training and guidance, and proposes a set of recommendations for improving digital clinical practice.
METHODS: A qualitative study involving a 1-day workshop of 52 participants, internationally attended, with multistakeholder participation. Participants engaged in table-top exercises and group discussions focused on medical scenarios complicated by technology (eg, malfunctioning ventilators and malicious hacks on health care apps). Extensive notes from 5 scribes were retrospectively analyzed and a thematic analysis was performed to extract and synthesize data.
RESULTS: Clinicians reported novel forms of harm related to technology (eg, geofencing in domestic violence and errors related to interconnected fetal monitoring systems) and barriers impeding adverse event reporting (eg, time constraints and postmortem device disposal). Challenges to providing effective patient care included a lack of clinical suspicion of device failures, unfamiliarity with equipment, and an absence of digitally tailored clinical protocols. Participants agreed that cyberattacks should be classified as major incidents, with the repurposing of existing crisis resources. Treatment of patients was determined by the role technology played in clinical management, such that those reliant on potentially compromised laboratory or radiological facilities were prioritized.
CONCLUSIONS: Here, we have framed digital events through a clinical lens, described in terms of their end-point impact on the patient. In doing so, we have developed a series of recommendations for ensuring responses to digital events are tailored to clinical needs and center patient care.

A whole series of processes lead to the decrease in the use of traditional medicine by the indigenous peoples of Mexico, including the reduction in the number of traditional healers and the direct and indirect expansion of biomedicine. This essay addresses the central role these processes play in the relations of hegemony/subalternity that occur in different fields of reality, and especially in the health-illness-care-prevention processes, given that counter-hegemonic processes are not generated, or those that do arise have been ineffective in confronting social hegemony in general and biomedical hegemony in particular.
Toda una serie de procesos conducen a la disminución del uso de la medicina tradicional por los pueblos indígenas de México, incluyendo la reducción del número de curadores tradicionales y la expansión directa e indirecta de la biomedicina. En este ensayo se aborda el papel nuclear que tienen estos procesos en las relaciones de hegemonía/subaltenidad que se dan en los diferentes campos de la realidad y, especialmente, en los procesos de salud-enfermedad-atención-prevención, dado que no se generan procesos contrahegemónicos o, los que surgen, han sido ineficaces para enfrentar la hegemonía social en general y biomédica en particular.

The present article reflects on the evolution of clinical medicine throughout time by commenting on Picasso\'s painting Science and Charity (1897) through a biomedical lens. The two souls of medicine, namely the cold scientific one and the compassionate one, are examined in their dichotomy and their relationship with today\'s concepts of cure and well-being.

Artificial intelligence (AI)-based clinical decision support systems are gaining momentum by relying on a greater volume and variety of secondary use data. However, the uncertainty, variability, and biases in real-world data environments still pose significant challenges to the development of health AI, its routine clinical use, and its regulatory frameworks. Health AI should be resilient against real-world environments throughout its lifecycle, including the training and prediction phases and maintenance during production, and health AI regulations should evolve accordingly. Data quality issues, variability over time or across sites, information uncertainty, human-computer interaction, and fundamental rights assurance are among the most relevant challenges. If health AI is not designed resiliently with regard to these real-world data effects, potentially biased data-driven medical decisions can risk the safety and fundamental rights of millions of people. In this viewpoint, we review the challenges, requirements, and methods for resilient AI in health and provide a research framework to improve the trustworthiness of next-generation AI-based clinical decision support.

OBJECTIVE: In the Danish healthcare system, restructuring is an ongoing process to accommodate the rising number of patients and to optimise resource allocation. To ease departmental burdens at hospitals in the North Denmark Region, outpatients are empowered to collect their cost-free medicines from medication pick-up lockers. The lockers function similarly to a package box, thereby enhancing patient freedom. Due to lack of evidence within the published literature regarding cost-free medicines and medicine waste, the aim of our study was to identify the common medications delivered to medicine pick-up lockers and secondly, to evaluate potential medicine waste.
METHODS: Data from ApoVision provided insights into medications delivered to medicine pick-up lockers from March to October 2023 in the North Denmark Region. To estimate unused medicines we obtained data on the number of medications returned from medicine pick-up lockers.
RESULTS: From 2020 to 2023, the number of patients receiving cost-free medicines at medication pick-up lockers increased. In total, approximately 30 000 packages of medicine were delivered to medicine pick-up lockers from March to October 2023 in the North Denmark Region; 1.7% were returned. Methotrexate, adalimumab, and omalizumab were among the most common deliveries and were also the three most returned from the medicine pick-up lockers.
CONCLUSIONS: This study is an initial attempt to investigate potential medicine waste in cost-free medicines dispensed to outpatients via pick-up lockers. Antineoplastic and immunomodulating agents were the most common medicines delivered to medication pick-up lockers in the North Denmark Region from March to October 2023. In this period, approximately 2% of all delivered medicine packages were returned to the hospital pharmacy. Our analysis solely focuses on waste associated with medications left uncollected from medicine pick-up lockers. Addressing the impact of medicine waste in a hospital setting requires a comprehensive approach, thus future studies should also focus on other sites relevant for medication waste as, for example, the patient\'s household.

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UNASSIGNED: Experience-based knowing in general practice includes advanced interpretation of subjective, complex and particular phenomena in a social context. Enabling different metapositions for reflexivity may provide the accountability needed for such knowing to be recognized as evidence-based practice.
UNASSIGNED: To demonstrate and discuss the potential of substantive theories to enhance interpretation of complex challenges in clinical knowing in general practice.
UNASSIGNED: We present a fictional case to demonstrate how interdisciplinary substantive theories, with a relevant and specific match to concrete questions, can situate the clinical interaction at an accountable platform. A female patient with Parkinson\'s disease consults her GP complaining that the disease is restraining her life and threatening her future. The GP has some new ideas from Bandura\'s theory of self-efficacy and introduces the patient to strategies for further action.
UNASSIGNED: The case presents an example of how a relevant substantive theory may offer the GP: 1) a sharper focus for achievement: recognising the issues of fear and identity in chronic, progressive illness, 2) a subsequent position for individualized understanding of adequate strategies: encouraging physical and social activity in a well-known context, and 3) an invitation to consider further possibilities: finding ways to alleviate the burden of fear and progressive decline; engaging in joyful living.
UNASSIGNED: General practice knowledge embraces a diversity of sources with different evidence power. The transparency mediated to clinical practice when supported by relevant substantive theories may contribute to recognition of experience-based knowing as evidence-based practice.
Experience-based knowing is an important capacity for interpretation of complex phenomena in general practice, but support for elaboration and analysis of such strategies is limitedInterdisciplinary substantive theories can enable reflexivity and enhance clinical practiceSubstantive theories may offer sharper focus, individualised understanding and recognition of additional possibilitiesA connection to specific theoretical ideas may augment the transparency of experience-based knowing, thus advancing attitudes for evidence-based practice.

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OBJECTIVE: Examine sensory function of the upper airway in four groups of subjects recruited from the World Trade Centre General Responder Cohort (WTCGRC), with/without obstructive sleep apnoea (OSA), and with/without chronic rhinosinusitis (CRS).
METHODS: Upper airway sensory function was determined using 2-point discrimination (2-PD) and vibration threshold (VT) in 163 WTCGRC subjects with both OSA and CRS (cases), OSA or CRS alone and without OSA or CRS (controls). Presence of OSA was determined from clinical sleep studies or home sleep testing. Presence of CRS was determined by nasal symptom questionnaire. The relationship between the presence of OSA and CRS and upper airway sensory impairment was assessed using linear regression analysis with each of 2PD and VT sensory threshold values as the dependent variable; OSA, CRS and their interaction were the independent variables. Age, gender and body mass index were covariates in the statistical model. The primary analysis was comparison of OSA+CRS versus controls (no OSA and no CRS) evaluated by linear contrasts.
RESULTS: There were no differences in 2-PD or VT in those with OSA+CRS, OSA and CRS alone or controls. However, both 2-PD and VT were significantly higher in the WTCGRC controls compared with values seen in historical controls using the same methodology (median 2-PD 13.0; CI (11.0 to 13.5) vs 10.5; CI (8 to 11); VT: mean±SEM (9.3±0.6 vs 2.2±0.1)).
CONCLUSIONS: While no differences were found in upper airway sensation between cases of OSA and CRS versus controls in the WTGRC population, there was evidence of impaired upper airway sensation in the WTGRC overall.