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Training algorithms on collected medical data – a convenience or a threat? Can AI issue final diagnosis? Is it legal?

Publication date: April 15, 2025

The purpose of data collection and its types.

Artificial intelligence and machine learning in medicine are areas that have gained importance in recent years. AI algorithms have been used to support clinical decision-making and image analysis. Doctors receive suggestions on the choice of therapy, drugs and the assessment of potential side effects.

In the area of medical imaging, machine learning is used to analyze computed tomography, X-rays and magnetic resonance imaging to identify pathological changes that could be missed by radiologists. Studies show that artificial intelligence algorithms achieve results comparable to, and in many cases even better than, the best diagnosticians. The effect of these actions is a reduction in the percentage of false positive diagnoses that indicate the presence of a disease, which in turn reduces unjustified anxiety among patients. Scientists from the United States have confirmed that decision-support tools can reduce the percentage of false positive diagnoses and improve drug dosing. Experts predict significant savings in the healthcare sector, provided that solutions based on artificial intelligence are consistently implemented. However, the implementation of AI in medicine raises numerous legal and ethical challenges that require special attention, especially in the context of medical data protection.

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In–Flight Connectivity and legal provisions

Publication date: April 15, 2025

What is IFC and what role does it play in modern aviation?

In-Flight Connectivity (IFC) is a technology that allows passengers and crew to access the internet and communication services during the flight. Thanks to the use of IFC, travelers can use services that require an internet connection.

IFC is based on data transmission technologies:

  • Satellite Communications – The aircraft is equipped with antennas that communicate with geostationary or low-Earth orbit satellites. The signal is transmitted from the aircraft to the satellite, and then to a ground station, from where it is transmitted to the global Internet network. Earth satellites offer lower latency and higher data rates than geostationary satellites.
  • Air-ground communications – Aircraft connecting to ground base stations using antennas directed toward the ground. The signal is transmitted between the ground stations and the aircraft in real time. This technology is particularly effective in land areas with a dense network of base stations.

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Exit fee and tax consequences – recent interpretation of National Revenue Centre in Poland. How it is used within the framework of intra-group restructuring of activities.

Publication date: April 15, 2025

Exit fee is a fee for transferring assets, functions or risks between related entities. It can be understood as remuneration for the transfer of important functions, assets or risks. It is paid during business restructuring, either once or periodicall

On 30 January 2025 there has been issued important interpretation of the Director of the Polish National Revenue Information in respect of exit fee and tax consequences.

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core changes 2025 regarding the employment of Polish workers

Publication date: April 07, 2025

core changes 2025 regarding the employment of Polish workers

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ARTIFICIAL INTELLIGENCE IN HEALTHCARE

Publication date: April 07, 2025

LAWYERS OF KIELTYKA GLADKOWSKI KG LEGAL TAKE PART IN TRAINING ORGANISED BY LIFE SCIENCE CLUSTER, on the example of SeniorAngel.app project

Artificial intelligence has become an integral part of modern medicine. Its use in diagnostics, therapy and healthcare system management is revolutionizing the way patients are diagnosed and treated. Thanks to increasingly advanced algorithms and systems based on machine learning, AI contributes to improving the quality of medical care, increasing efficiency and reducing costs. Artificial intelligence (AI) plays a key role in medical diagnostics, supporting doctors in diagnosing diseases based on medical data, images (such as X-rays, magnetic resonance imaging) and laboratory test results. Thanks to algorithms for analyzing medical images, AI can detect diseases such as cancer, heart disease or neurological changes. AI also supports the personalization of treatment, analyzing patient data such as medical history, genetic data or lifestyle to adapt therapy to individual needs, which improves its effectiveness. AI algorithms can also predict the risk of diseases based on population and historical data, allowing the implementation of preventive measures. In addition, AI supports the optimization of hospital processes, such as managing schedules, drug stocks or forecasting the need for hospital beds. AI is also used to monitor patients’ health, analyzing data from wearable devices such as smartwatches or biometric sensors to monitor parameters such as blood pressure, heart rate, and glucose levels, allowing for early detection of health changes. AI also supports medical data management, facilitating their storage, analysis, and processing, which improves access to medical databases and facilitates collaboration between specialists. In the area of telemedicine, AI supports remote care services, helping doctors diagnose and monitor patients’ health remotely.

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