Eye on Innovation
nicotine
- acceptability (82)
- access to care (179)
- accessibility (77)
- accountability (9)
- accuracy (17)
- addiction (317)
- adherence (48)
- adolescents (142)
- adoption (27)
- adults (37)
- advertising (12)
- alcohol (142)
- algorithm (39)
- anxiety (126)
- Apple (14)
- artificial intelligence (218)
- assessment (41)
- barriers (10)
- behavior change (128)
- behavioral health (207)
- bias (12)
- big data (46)
- biomarkers (75)
- Bipolar Disorder (7)
- cancer (15)
- cannabis (61)
- care coordination (22)
- CBT (57)
- chatbot (26)
- ChatGPT (4)
- children (63)
- chronic disease (78)
- chronic pain (6)
- clinical trials (28)
- Clinician-Patient Relationship (5)
- co-occurring disorders (24)
- cognitive impairment (24)
- collaboration (16)
- communication (69)
- computer-based (56)
- consumers (37)
- contingency management (15)
- cost-effectiveness (51)
- COVID-19 (156)
- CTBH (332)
- CTN (15)
- Cybersecurity (16)
- Data (5)
- data analysis (165)
- data collection (148)
- data sharing (33)
- DEA (7)
- decision support (14)
- depression (208)
- developers (16)
- development (95)
- diabetes (42)
- diagnosis (61)
- diet (11)
- digital divide (15)
- digital health (501)
- Digital Health Ethics (9)
- Digital Phenotyping (7)
- digital therapeutics (85)
- dissemination (18)
- dissemination and implementation (47)
- doctor patient relationship (44)
- e-cigarettes (45)
- ecological momentary assessment (13)
- education (63)
- effectiveness (7)
- efficacy (38)
- electronic health record (60)
- Emergency care (38)
- emergency department (34)
- emotion (20)
- engagement (94)
- ethics (26)
- evaluation (26)
- evidence based (37)
- exercise (7)
- FDA (135)
- feasibility (42)
- fentanyl (12)
- fitness (29)
- funding (11)
- games and gamification (63)
- global health (41)
- global pandemic (3)
- GPS (13)
- hardware (6)
- health care (74)
- health care delivery (68)
- health care providers (100)
- health data (138)
- health disparities (32)
- Health Equity (22)
- health information-seeking (6)
- health literacy (12)
- health tracking (5)
- high-risk (31)
- HIPAA (9)
- HIV (42)
- illicit drugs (85)
- implantable device (25)
- implementation (55)
- incentives (19)
- information visualization (15)
- integrated care (15)
- internet-based (189)
- intervention (228)
- intervention characteristics (4)
- Latin America (9)
- literature review (63)
- low-income (7)
- machine learning (101)
- measurement (16)
- medical device (7)
- medication management (68)
- mental health (540)
- mental health care providers (14)
- Mental Illness (15)
- methodology (38)
- mhealth (400)
- mindfulness (22)
- mobile apps (475)
- mobile technology (37)
- mobile tools (67)
- mobile-based interventions (4)
- motivation (14)
- motivational interviewing (4)
- Natural Language Processing (7)
- neuromodulation (38)
- nicotine (19)
- NIH (51)
- obesity (18)
- older adults (13)
- opioid epidemic (210)
- opioid overdose (8)
- opioid use disorder (18)
- opioids (214)
- overdose (108)
- pain management (87)
- participatory design (9)
- patient outcome (14)
- personalization (4)
- physical health (227)
- policy and regulation (269)
- post traumatic stress (32)
- precision medicine (25)
- prediction (14)
- pregnancy (26)
- prescription drugs (145)
- prevention (195)
- primary care (27)
- privacy (105)
- psychosocial (5)
- public access (12)
- public health (63)
- qualitative (10)
- quality (8)
- quality of life (14)
- recovery (78)
- recovery support (75)
- referral to treatment (10)
- relapse (34)
- remote monitoring (76)
- researchers (19)
- Retention (4)
- risk behavior (17)
- robotics (1)
- rural (63)
- Safe Station (5)
- safety (99)
- schizophrenia (5)
- Screening (20)
- screening and brief intervention (69)
- security (81)
- self regulation (6)
- seniors (29)
- sensors (106)
- severe mental illness (61)
- shared decision making (4)
- sleep (26)
- smartphones (184)
- smoking cessation (62)
- Social Determinants (7)
- social media (120)
- social support (37)
- software (24)
- stigma (7)
- stress (68)
- students (53)
- substance use (331)
- substance use disorders (104)
- suicide (51)
- survey (6)
- Sustainability (3)
- systematic review (4)
- Technology (17)
- telehealth (188)
- text messaging (55)
- THC (5)
- theoretical (13)
- tobacco (100)
- training (10)
- treatment (420)
- Trust (6)
- user experience (59)
- user-centered design (16)
- vaping (18)
- veterans (27)
- virtual reality (73)
- vulnerable populations (92)
- wearable device (208)
- wellness (8)
- withdrawal (20)
- women (32)
- young adults (73)
- Pfizer, Alex Therapeutics Commercialize a Digital Therapy to Help with Smoking 02/02/2022
- New Study Asks Which Smartphone Treatments Best Help Smokers Quit 12/15/2021
- F.D.A. Authorizes E-Cigarettes to Stay on U.S. Market for the First Time 10/12/2021
- Text Message Vaping Intervention May Help Young Adults Quit 06/15/2021
- FDA Unveils Campaign to Support Tobacco Smokers Quit Smoking 06/03/2021
- How Wearables Can Fight Addictions 05/16/2021
- Latest Research Delineates the Effectiveness of “Quitlines” for Smoking Cessation 03/08/2021
- How AI-powered ‘Puff Technology’ Can Help Smokers Quit 01/29/2021
- Using Big Data to Identify Genetic, Neural Bases for Substance Use Disorder 01/22/2021