Depression AI

Wearable AI is a promising tool for depression detection and prediction although it is in its infancy and not yet ready for use in clinical practice - as concluded in a recent review. AI can be also used therapeutically. 

Research has shown that interacting with technology, such as chatbots, can lead to feelings of social connection and companionship, which can have both positive and negative effects on mental well-being. Chatbots have become increasingly popular in mental health domain because of their impact on social interactions and the ability to form and maintain meaningful relationships. They are effective in reducing symptoms of anxiety and depression, although there is always a risk that they may exacerbate mental health issues. 

One of the main benefits of chatbots is their ability to provide low-cost and easily accessible mental health counseling. ChatGPT studies show that its potential for depression detection and treatment should be further explored, while addressing the challenges and ethical considerations. ChatGPT outperforms traditional neural network methods but still has a significant gap with advanced task-specific methods. 

In the US, one in five individuals is affected by mental health issues each year, with recreational cannabis use increasing the risk. Intelligent wearables utilize over 30 types of data to predict depression, with physical activity, sleep, heart rate, and mental health measures being the most commonly used. The Depresjon dataset (motor activity recordings of 23 unipolar and bipolar depressed patients and 32 healthy controls) is most popular among researchers.

Previous systematic reviews have shown that AI has better performance in detecting patients without depression than those with depression, but the review published last week shows slightly higher sensitivity and specificity - based on data from wearable devices. It is recommended that tech companies develop wearable devices that can detect and predict depression in real-time. Neuroimaging data in addition to wearable devices would provide even higher diagnostic performance.

With the increasing popularity of IoT and AI, they will likely become an integral part of our lives.  It may soon become a useful tool in clinical practice.

REFERENCES

Abd-Alrazaq A, AlSaad R, Shuweihdi F, Ahmed A, Aziz S, Sheikh J. Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression. NPJ Digit Med. 2023 May 5;6(1):84. doi: 10.1038/s41746-023-00828-5. PMID: 37147384.

Garcia-Ceja E, Riegler M, Jakobsen P, Tørresen J, Nordgreen T, Oedegaard KJ, Fasmer OB. Depresjon: a motor activity database of depression episodes in unipolar and bipolar patients. In Proceedings of the 9th ACM multimedia systems conference 2018 Jun 12 (pp. 472-477).

Lamichhane B. Evaluation of ChatGPT for NLP-based Mental Health Applications. arXiv preprint arXiv:2303.15727. 2023 Mar 28. 

Yang K, Ji S, Zhang T, Xie Q, Ananiadou S. On the Evaluations of ChatGPT and Emotion-enhanced Prompting for Mental Health Analysis. arXiv preprint arXiv:2304.03347. 2023 Apr 6.

Dana RA, Gavril RA. Exploring the psychological implications of ChatGPT: a qualitative study. Journal Plus Education. 2023 May 1;32(1):43-55.

The Rapid Expansion of DTC Healthcare

Preventive care is recognized as the most effective strategy for health care cost reduction. Screening for early signs of heart disease, cancer, maintenance of diabetes and allergies and prevention of infectious diseases can be done without a supervising physician. Direct-to-consumer (DTC) laboratory testing allows individuals to order tests directly from a laboratory without going through their healthcare provider, and often at lower cost. The number of companies providing direct-to-consumer diagnostic testing is rapidly growing, along with the range of health information provided by these tests. Ancestry (genealogy) testing is an example. And so are new devices for cardiac monitoring. 

Experts anticipate a near-term explosion in the DTC marketplace. DTC healthcare already was a US$700 billion industry in 2020, including over-the-counter drugs. The Mark Cuban Cost Plus Drug Company, PBC (MCCPDC) is nearing one million customers. An analysis of 2011-1019 records from Rock Health Digital Database, showed that 252 (21%) of 1214 digital health companies pursued a direct-to-consumer strategy. The pandemic has accelerated this growth. According to research by Deloitte, the number of people using virtual healthcare rose from 15% to 19% from 2019 to early 2020, then jumped to 28% in April 2020. On average, 80% were likely to have another virtual visit, even post COVID-19 and said they will use this type of care again. Latest data showed that consumers’ appetite for virtual health and digital health tools continued to steadily increased, although there was significant variation in physician adoption. 

Human touch remains central to care delivery. In the 2022 Deloitte Survey of US Health Care Consumers, 70% of respondents who had a virtual visit in 2022 (vs. 67% in 2020) thought that the quality of virtual care was as good as in person, but only 73% (vs. 82% in 2020) thought they were able to connect with the clinician the same way they would in-person. Integration of data from patients' wearables and their self-reported outcomes into health records also experienced a setback. 

The global market for Direct-to-Consumer (DTC) testing was predicted to grow from $1.4 billion in 2020 to $2.6 billion by 2025. There were cautionary cases of uBiome and Theranos, there are quackery labs, but as the industry matures and moves toward utilization of clear clinical metrics, and as the capabilities of technology advance, DTC testing will me more and more impactful. There are DTC companies that offer the tests and biometric screenings that a physician would typically order as part of a routine annual physical, such as a complete blood count, comprehensive metabolic panel, urinalysis, and cardiovascular and diabetes risk assessment. Ultalabs, JasonHealth, discounted labs, drsays and privatemdlabs all allow to self-order laboratory tests and Quest and Labcorps locations. 

No more uncomfortable questions for a blood test prescription. No doctor visit needed to gettest results - they will be emailed instead. Consumers pay up front and know exactly what they are paying for. Unfortunately, the same cannot be said for many other healthcare services.

Genetic counseling for patients who are pursuing genetic testing in the absence of a medical indication, referred to as elective genomic testing (EGT), is becoming relatively common. More people are using technology to monitor their health, measure fitness, and order prescription refills. Before COVID-19, there was a slight decline in people who were willing to share their health data—but during the pandemic, new data showed that people are more comfortable sharing data during a crisis

REFERENCES

Cohen AB, Mathews SC, Dorsey ER, Bates DW, Safavi K. Direct-to-consumer digital health. The Lancet Digital Health. 2020 Apr 1;2(4):e163-5.

Stoffel M, Greene DN, Beal SG, Foley P, Killeen AA, Shafi H, Terrazas E. Direct-to-Consumer Testing for Routine Purposes. Clinical Chemistry. 2022 Sep;68(9):1121-7.

2022 Global health care sector outlook | Deloitte

deloitte-nl-healthcare-consumer-centered-future-of-health.pdf

https://www.beckershospitalreview.com/lab/lab-test-market-shifting-from-provider-driven-to-consumer-driven.html

Technology Funnies and Futures

Some April Fool's  jokes come true, some have the potential to be prophetic or ominous. Some April Fool's products we really wish existed.

The best April Fool's technology stories of 2018 focused on car tech, genomics, sensory perception and wearables.